Stop Thinking, Just Do!
Sungsoo Kim's Blog
Archive
2024
November
- November 11, 2024 » Multimodal Machine Learning
- November 10, 2024 » A Brief Introduction to Causal Inference
- November 9, 2024 » Intro to Quantum Gibbs Samplers - Algorithmic Ingredients
- November 8, 2024 » Long Range Propagation on Continuous-Time Dynamic Graphs
- November 7, 2024 » Graph Neural Networks and Spectral Graph Theory
- November 6, 2024 » Maximum Entropy Method
- November 6, 2024 » What is Agentic AI?
- November 5, 2024 » Moravec's Paradox
- November 5, 2024 » Invariant Learning
- November 4, 2024 » How Could Machines Reach Human-Level Intelligence?
- November 4, 2024 » Bayesian Inference - Parametric Inference, Predictive Inference
- November 3, 2024 » Decoding on Graphs; Empower LLMs with KGs
- November 2, 2024 » Data Heterogeneity Analysis for Out-of-Distribution Generalization
- November 1, 2024 » Generative Retrieval
October
- October 31, 2024 » Change of Variable Rule
- October 30, 2024 » Chernoff and Hoeffding bounds
- October 29, 2024 » Spectral Graph Theory
- October 29, 2024 » Multimodal Large Language Models
- October 28, 2024 » RL Loses Against Multi-Agent Intelligence
- October 27, 2024 » DuckDB in the wild
- October 26, 2024 » How to transform tabular data into a graph
- October 25, 2024 » Isoperimetric Number
- October 25, 2024 » Converting a Tabular Dataset to a Graph Dataset for GNNs
- October 24, 2024 » Towards Neuro-Symbolic AI with Knowledge Graphs and LLMs
- October 23, 2024 » Toward Understanding In-context Learning
- October 22, 2024 » On large language models and transformers
- October 21, 2024 » Understanding and Improving Efficient Language Models
- October 20, 2024 » The Hierarchy of Needs for Training Dataset Development
- October 19, 2024 » Uplift Modeling; From Causal Inference to Personalizations
- October 18, 2024 » Unifying Graph Neural Networks
- October 17, 2024 » LLMOps and FMOps for e-commerce
- October 16, 2024 » What Are Drifts and How to Detect Them?
- October 15, 2024 » Deep Learning of Dynamics and Coordinates with SINDy Autoencoders
- October 14, 2024 » Introduction to Llama-agents Framework
- October 13, 2024 » Building Trusted AI with LLMs
- October 12, 2024 » How Domain-Specific AI Agents Will Shape the Industrial World
- October 11, 2024 » Harvard Presents NEW Knowledge-Graph AGENT (MedAI)
- October 10, 2024 » ParadeDB – Postgres for Search and Analytics
- October 9, 2024 » Re-thinking Transformers
- October 8, 2024 » XAI for LLMs; looking under the hood of Large Language Models
- October 7, 2024 » Physics-informed Machine Learning for Inverse Problems
- October 6, 2024 » Efficient Gaussian Splatting
- October 5, 2024 » Evaluating AI models for structure-based drug design
- October 4, 2024 » Discrete Flow Matching
- October 3, 2024 » Understanding Large Action Model (LAM)
- October 2, 2024 » How I Understand Flow Matching
- October 1, 2024 » Toward a better Deep Learning
September
- September 30, 2024 » Geometric Probabilistic Models
- September 29, 2024 » Fine-tuning and Merging LLMs
- September 28, 2024 » Normalizing Flows
- September 27, 2024 » Improving and Generalizing Flow-Based Generative Models
- September 26, 2024 » Flow Matching; Simplifying and Generalizing Diffusion Models
- September 25, 2024 » A Fast, Embeddable, Modular Analytic Query Engine
- September 24, 2024 » Improving equality and productivity with AI-driven tax policies
- September 23, 2024 » Scaling Limits of Neural Networks
- September 22, 2024 » Economic Policy Design using DRL and AI Simulations
- September 21, 2024 » AI Economist - How can AI FIX taxes?
- September 20, 2024 » Economics and Probabilistic Machine Learning
- September 19, 2024 » Rethinking Physics Informed Neural Networks
- September 18, 2024 » Differential Equations and Dynamical Systems
- September 17, 2024 » High Level Overview of AI and ML in Science and Engineering
- September 16, 2024 » A Trip Down the Generative Graphics Pipeline
- September 15, 2024 » Decoding Google Gemini with Jeff Dean
- September 14, 2024 » A Brief Introduction to Neural Radiance Fields
- September 13, 2024 » SGD and Weight Decay Secretly Compress Your Neural Network
- September 12, 2024 » Morris Approximate Counter
- September 11, 2024 » Towards Understanding the Implicit Regularization Effect of SGD
- September 10, 2024 » Language Models as World Models
- September 9, 2024 » Building LLMs from the Ground Up
- September 8, 2024 » Marginal-based Methods for Differentially Private Synthetic Data
- September 7, 2024 » Differentially Private Synthetic Data via Foundation Model APIs
- September 6, 2024 » GraphRAG; The Marriage of Knowledge Graphs and RAG
- September 5, 2024 » Decoding the Human Brain – A Neurosurgeon’s Experience
- September 4, 2024 » ML for High-Performance Climate and Earth Virtualization Engines
- September 3, 2024 » How To Read AI Research Papers Effectively
- September 2, 2024 » Building Large Language Models (LLMs)
- September 1, 2024 » DuckDB – Overview and latest developments
August
- August 30, 2024 » Unreasonably Effective AI with Demis Hassabis
- August 29, 2024 » The COMPLETE TRUTH About AI Agents
- August 28, 2024 » The Future of Knowledge Assistants
- August 27, 2024 » Responsible AI development
- August 26, 2024 » The Reparameterization Trick
- August 25, 2024 » How to Read Machine Learning Research Papers
- August 24, 2024 » A tutorial on on neurosymbolic techniques
- August 23, 2024 » Analysis by Synthesis
- August 22, 2024 » The tip and the iceberg; deep learning and embodiment
- August 21, 2024 » Generating Synthetic Tabular Data That’s Differentially Private
- August 20, 2024 » TableDiffusion; Generative AI for private tabular data
- August 19, 2024 » DeepJoin Joinable Table Discovery with Pretrained Language Models
- August 18, 2024 » Synthetic data generation with CTGAN
- August 17, 2024 » Retrieval and Re-Reranking
- August 16, 2024 » What Does Machine Learning Have to Offer Mathematics?
- August 15, 2024 » What do tech pioneers think about the AI revolution?
- August 14, 2024 » The Age of AI, Eric Schmidt
- August 13, 2024 » Decoding the Decoder LLM without de code
- August 12, 2024 » How to improve your writing
- August 11, 2024 » The Potential for AI in Science and Mathematics
- August 10, 2024 » Introduction to Self-Driving
- August 9, 2024 » Towards Foundation Models for Graphs
- August 8, 2024 » Energy Based Models
- August 7, 2024 » Awesome-Graph-LLM
- August 6, 2024 » Spark Tutorial For Beginners
- August 5, 2024 » Meta AI, Limits of LLMs, AGI & the Future of AI
- August 4, 2024 » Analyze Data with LLMs and Python
- August 3, 2024 » DuckDB Spatial; Supercharged Geospatial SQL
- August 2, 2024 » Robust Distortion-free Watermarks for Language Models
- August 1, 2024 » Space is a latent sequence; A theory of hippocampus and PFC
July
- July 31, 2024 » Privacy in Web Advertising - Analytics and Modeling
- July 30, 2024 » Mining Temporal Networks
- July 29, 2024 » Multimodal Pretraining and Generation for Recommendation
- July 28, 2024 » Text Attributed Graph Representation Learning
- July 27, 2024 » Curriculum Learning Theories, Approaches, Applications
- July 26, 2024 » Neural Contextual Bandits for Personalized Recommendation
- July 25, 2024 » Large Language Models for Recommendation
- July 24, 2024 » Data Drift, Quality, Bias and Explainability
- July 23, 2024 » Mining Exploratory Queries for Conversational Search
- July 22, 2024 » Recent Advances in Image Generative Foundation Models
- July 21, 2024 » Sublinear time algorithms in learning
- July 20, 2024 » A Bi-metric Framework for Fast Similarity Search
- July 19, 2024 » Vector Search and Embeddings in Organizations
- July 18, 2024 » Modality Alignment for Multimodal Perception
- July 17, 2024 » Multimodal Large Language Model Tutorial
- July 16, 2024 » Probability for Computer Scientists
- July 15, 2024 » AGI Levels by OpenAI, Grok 2 and Neuralink Update
- July 14, 2024 » Large Multimodal Models
- July 13, 2024 » Geometric Deep Learning; From Euclid to Drug Design
- July 13, 2024 » Algorithmic Discrepancy Theory and Randomized Controlled Trials
- July 12, 2024 » Continual Learning Beyond Catastrophic Forgetting
- July 11, 2024 » Project Kuiper; Fast, Affordable Broadband
- July 10, 2024 » AI for 5G Advanced Toward 6G
- July 9, 2024 » AI & Machine Learning for Satellite Communications with SES
- July 8, 2024 » AI for 3D Generation
- July 7, 2024 » AI for Content Creation
- July 6, 2024 » Make self-adjusting data structures concurrent
- July 5, 2024 » Privacy Preserving ML with Fully Homomorphic Encryption
- July 4, 2024 » Workshop on Urban Scene Modeling
- July 3, 2024 » KDB.AI | Introduction to Vector Search
- July 2, 2024 » Multimodal Learning on Graphs
- July 1, 2024 » From Multimodal LLM to Human level AI
June
- June 30, 2024 » Foundation Models for Autonomous Systems
- June 29, 2024 » Using LLM Agents with Llama 3, LangGraph and Milvus
- June 28, 2024 » Building Intelligent RAG Applications
- June 27, 2024 » Learn PostgreSQL fast! | PostgreSQL for beginners
- June 26, 2024 » The Influence of Computation on Inference
- June 25, 2024 » Machine learning models of differential gene expression
- June 24, 2024 » Recent Advances in Vision Foundation Models
- June 23, 2024 » Illuminating protein space with generative models
- June 22, 2024 » On the Generalization Capability of Temporal Graph Learning Algorithms
- June 21, 2024 » Spectral Graph Neural Networks
- June 20, 2024 » Audio-visual self-supervised baby learning
- June 19, 2024 » From Higher-Order Graph Structures to Link Prediction and Beyond
- June 18, 2024 » History and Future of AI at Data + AI Summit 2024
- June 17, 2024 » How Can Privacy Exist in a Data-Driven World?
- June 16, 2024 » Can Learned Indexes be Built Efficiently?
- June 15, 2024 » The Platonic Representation Hypothesis
- June 14, 2024 » programming ≠ coding
- June 13, 2024 » SIGMOD 2024 - Alibaba Cloud PolarDB-MP
- June 4, 2024 » Python RAG Tutorial with Local LLMs
- June 3, 2024 » Learn RAG From Scratch
- June 2, 2024 » PostgreSQL as a Vector Database
- June 1, 2024 » Kernels for Graphs
May
- May 31, 2024 » Milvus 101- Most Advanced Vector Database
- May 30, 2024 » Vector Similarity Search & Indexing Methods
- May 29, 2024 » Combine Your Data with LLMs with Advanced Search
- May 28, 2024 » Learn How to Build Multimodal Search and RAG
- May 27, 2024 » Many shades of Machine Learning Acceleration
- May 26, 2024 » Charm++ and Adaptive MPI
- May 25, 2024 » GenAI in Life Sciences Summit
- May 24, 2024 » Grounding for Gemini with Vertex AI Search and DIY RAG
- May 23, 2024 » HPC and AI/ML; A Synergistic Relationship
- May 22, 2024 » Multimodal Retrieval-Augmented Generation with Gemini
- May 21, 2024 » What is LangChain?
- May 20, 2024 » PyTorch on Apple Silicon
- May 19, 2024 » MLP vs KAN, Math, B-Splines, Universal Approximation Theorem
- May 18, 2024 » Kolmogorov-Arnold Networks VS Regular Deep Learning
- May 17, 2024 » Kolmogorov-Arnold Networks
- May 16, 2024 » A Causal Inference Framework for Combinatorial Interventions
- May 15, 2024 » Introducing GPT-4o with Large Language Models
- May 14, 2024 » Zero-Shot Relational Learning on Temporal Knowledge Graphs with LLMs
- May 13, 2024 » Continuous-time Graph Representation with Sequential Survival Process
- May 12, 2024 » Topological Representations for Temporal Graph Property Prediction
- May 11, 2024 » LangGraph 101; it's better than LangChain
- May 10, 2024 » Deep Learning Under Distribution Shift
- May 9, 2024 » Automating Enterprises With Foundation Models
- May 8, 2024 » Score Based Models
- May 7, 2024 » Quantum Computing in Practice
- May 6, 2024 » DRO and Its Applications in Communication and Networking
- May 5, 2024 » Data-driven and Distributionally Robust Optimization and Applications
- May 4, 2024 » Mathematical Foundations of Robust and DRO
- May 3, 2024 » Introduction to Distributionally Robust Optimization
- May 2, 2024 » Fundamentals of Intelligent Reflecting Surfaces
- May 1, 2024 » Multimodal language models for mapping the genotype-phenotype relationship
April
- April 30, 2024 » Vector Embeddings Tutorial
- April 29, 2024 » Vector Database 101 - A Crash Course
- April 28, 2024 » LLM and Vector Databases - Concepts, Architectures, and Examples
- April 27, 2024 » Vector Databases Explained
- April 26, 2024 » Vector Database Fundamentals
- April 25, 2024 » Indexing in Vector Databases
- April 24, 2024 » Complete Tutorial on Vector Database
- April 23, 2024 » Uncovering and Inducing Interpretable Causal Structure
- April 22, 2024 » GNNs in Computational Biology
- April 21, 2024 » EVO - DNA Foundation Models
- April 20, 2024 » Bayesian Causal Inference & Propensity Scores
- April 19, 2024 » Understanding Bayesian Statistics Without Frequentist Language
- April 18, 2024 » Prof. Chris Bishop's NEW Deep Learning Textbook!
- April 17, 2024 » Towards Conversational Diagnostic AI
- April 16, 2024 » Anomaly Detection in Continuous-Time Temporal Provenance Graphs
- April 15, 2024 » Gemini Full Breakdown + AlphaCode 2 Bombshell
- April 14, 2024 » Googles GEMINI Just SHOCKED The ENTIRE INDUSTRY!
- April 13, 2024 » Multimodal Prompting with a 44-minute Movie
- April 12, 2024 » Approximate Maximum Matching
- April 11, 2024 » Prompt Engineering, RAG, and Fine-tuning
- April 10, 2024 » Building Production-Ready RAG Applications
- April 9, 2024 » Entropy & Mutual Information in Machine Learning
- April 8, 2024 » Towards Federated Analytics with Local Differential Privacy
- April 7, 2024 » The Science of LLM Benchmarks - Methods, Metrics, and Meanings
- April 6, 2024 » Formal Methods and Machine Learning
- April 5, 2024 » Formal Methods and Deep Learning
- April 4, 2024 » HyperPCM-Robust Task-Conditioned Modeling of Drug-Target Interactions
- April 3, 2024 » Objective-Driven AI
- April 3, 2024 » Explainability of Graph Neural Networks
- April 2, 2024 » Why should you care about DuckDB?
- April 1, 2024 » Dynamic Graph Information Bottleneck
March
- March 31, 2024 » Diffusion Models on Sampling Rare Events
- March 30, 2024 » Deep Probabilistic Models with Tractable Inference
- March 29, 2024 » Nuggets of Shannon Information Theory
- March 28, 2024 » Large Language Models as Copilots for Theorem Proving
- March 27, 2024 » Application Development using Large Language Models
- March 26, 2024 » A New 3D Digital Human Creator For All!
- March 25, 2024 » 나의 문화유산답사기 30주년
- March 24, 2024 » The Fifth Paradigm of Scientific Discovery
- March 23, 2024 » Bringing analytical SQL directly to your Python shell
- March 22, 2024 » Decoding the Information Bottleneck in Self Supervised Learning
- March 21, 2024 » Information Bottleneck Theory of Deep Learning
- March 20, 2024 » MultiDiffusion; Fusing Diffusion Paths for Controlled Image Generation
- March 19, 2024 » In-Process Analytical Data Management with DuckDB
- March 18, 2024 » Generalization in diffusion models
- March 17, 2024 » Gemini Multimodal RAG Applications with LangChain
- March 16, 2024 » Exciting Trends in Machine Learning
- March 15, 2024 » How to Build a Metadata Driven Data Pipelines with Delta Live Tables
- March 14, 2024 » Learn How to Build Real-Time Warehouses on Lakehouse
- March 13, 2024 » Databricks Lakehouse Overview Training
- March 13, 2024 » Simplify ETL pipelines on the Databricks Lakehouse
- March 12, 2024 » Delta Live Tables A to Z; Best Practices for Modern Data
- March 12, 2024 » Building Reliable ETL Pipelines with Azure Databricks
- March 11, 2024 » Graph-based Virtual Sensing
- March 10, 2024 » Online A/B Testing of Real-Time Event Detection Systems
- March 10, 2024 » Machine Unlearning of Features and Labels
- March 9, 2024 » Machine Unlearning Papers
- March 9, 2024 » Ecommerce Marketing Analytics; Top 8 Metrics EXPLAINED
- March 9, 2024 » Differential Privacy and Machine Unlearning
- March 8, 2024 » Foundation Models on Consumer Devices
- March 7, 2024 » Lakehouse with Delta Lake Deep Dive Training
- March 6, 2024 » Large Language Models for Program Optimization
- March 5, 2024 » Multimodal Reasoning; PaLM-E & Gemini
- March 4, 2024 » Text2SQL; The Dream versus Reality
- March 3, 2024 » Data Lakehouse and Data Mesh—Two Sides of the Same Coin
- March 2, 2024 » Pathways Language Model and Model Scaling
- March 1, 2024 » The Information Bottleneck Approaches in Deep Neural Networks
February
- February 29, 2024 » On Mutual Information Estimation
- February 28, 2024 » A Deeper Understanding of Deep Learning
- February 27, 2024 » The Information Bottleneck Theory of Deep Learning
- February 26, 2024 » Information Theory of Deep Learning
- February 25, 2024 » DeepMind Gemini 1.5 - An AI That Remembers!
- February 24, 2024 » Graph Machine Learning for 2024
- February 23, 2024 » Unlock Data Insights Faster with AI-Generated Sample Data
- February 22, 2024 » Graph Dashboards With LLM Powered Natural Language Queries
- February 21, 2024 » Approximate Nearest Neighbor and Product Quantizer
- February 20, 2024 » Choosing the Right Embedding Model, Chunking Strategy, and More
- February 19, 2024 » Document Curation for Retrieval Augmented Generation
- February 18, 2024 » Data Federation with Unity Catalog
- February 17, 2024 » The Data Intelligence Platform
- February 16, 2024 » Cross-Platform Data Lineage with OpenLineage
- February 15, 2024 » Mitigating LLM Hallucinations
- February 14, 2024 » Towards Foundation Models for Knowledge Graph Reasoning
- February 13, 2024 » Unveiling the Power of Multimodal RAG for Images and Text
- February 12, 2024 » Image Similarity Search with Vector Databases
- February 11, 2024 » Building a Music Recommender with Vector Databases
- February 10, 2024 » Document Semantic Search with Vector Databases
- February 9, 2024 » Sentiment Analysis with Vector Databases
- February 8, 2024 » Overview of RAG Approaches with Vector Databases
- February 7, 2024 » Graph-Based Approximate Nearest Neighbors (ANN) and HNSW
- February 6, 2024 » Enhancing Vector Database Queries with Metadata Filtering
- February 5, 2024 » Guiding Graph Embeddings using Path-Ranking Methods
- February 4, 2024 » Evaluating RAG Performance with Vector Databases
- February 3, 2024 » Chunking Best Practices for RAG Applications
- February 2, 2024 » Product quantization in Faiss and from scratch
- February 2, 2024 » Ambient Computing, Multimodal AI & Edge Computing
- February 1, 2024 » Composite AI, the Future of Computing and Human Capital
January
- January 31, 2024 » From Delta Sharing to Clean Rooms
- January 30, 2024 » What is a vector database?
- January 29, 2024 » Advanced RAG; Chunking, Embeddings, and Vector Databases
- January 28, 2024 » Unity Catalog Overview
- January 27, 2024 » How to Build LLMs on Your Company’s Data While on a Budget
- January 26, 2024 » A Technical Deep Dive into Unity Catalog's Practitioner Playbook
- January 25, 2024 » Which is the most reliable estimate?
- January 24, 2024 » Building an LLMOps Stack for Large Language Models
- January 23, 2024 » Introduction to large language models
- January 22, 2024 » Cost Optimization use cases with a Data Catalog
- January 21, 2024 » 5 Explosive Digital Marketing Strategies
- January 20, 2024 » Introduction to Vector Search
- January 20, 2024 » Atlan AI for Documentation -- LIVE Demo
- January 19, 2024 » LLMOps; Everything You Need to Know to Manage LLMs
- January 18, 2024 » How to Train Your Own Large Language Models
- January 17, 2024 » The future of generative AI
- January 16, 2024 » Reset KOREA!, The 1st Seminar
- January 15, 2024 » Intro to Large Language Models
- January 10, 2024 » Metadata Use Cases Demo in Atlan
- January 9, 2024 » The Anatomy of an Active Metadata Platform
- January 8, 2024 » 3 Keys for Collective Intelligence
- January 7, 2024 » Towards Self-Service Analytics
2023
December
November
- November 30, 2023 » A General Graph Neural Network Framework for Link Prediction
- November 29, 2023 » Neural Bellman-Ford Networks
- November 28, 2023 » Towards Interpretable Data Science
- November 27, 2023 » Differential Privacy And The Complexity Of Simple Queries
- November 26, 2023 » Privacy Preserving AI
- November 25, 2023 » The Promise of Differential Privacy
- November 24, 2023 » A Survey on Graph Neural Networks for Time Series
- November 23, 2023 » Towards Foundation Models for Knowledge Graph Reasoning
- November 22, 2023 » Stylish Hierarchical Navigable Small World Indexes
- November 21, 2023 » Retrieval-Augmented Language Model Pre-Training
- November 21, 2023 » Domain Knowledge Augmented AI for Databases
- November 20, 2023 » AND/OR Search Spaces for Anytime Probabilistic Reasoning
- November 19, 2023 » Generative AI And Programming
- November 18, 2023 » Gartner's Top 10 Tech Trends for 2024
- November 17, 2023 » Making Retrieval Augmented Generation Better
- November 17, 2023 » Emerging architectures for LLM applications
- November 16, 2023 » Tree of Thought Prompting
- November 16, 2023 » Building a managed database service with Kubernetes Operators
- November 15, 2023 » A Purpose-Built Vector Data Management System
- November 14, 2023 » Best Practices for Query Performance Testing
- November 14, 2023 » OpenAI Embeddings and Vector Databases Crash Course
- November 13, 2023 » Long-Range Genomic Sequence Modeling
- November 12, 2023 » How to Choose a Vector Database
- November 11, 2023 » Awesome Vector Database
- November 10, 2023 » Vector Databases simply explained! (Embeddings & Indexes)
- November 10, 2023 » OpenAI DevDay, Opening Keynote
- November 9, 2023 » Knowledge Distillation
- November 8, 2023 » Vector Database for Large Language Models in Production
- November 7, 2023 » Embeddings, Vector Databases, and Search
- November 6, 2023 » Fast, Approximate Vector Queries on Very Large Unstructured Datasets
- November 5, 2023 » How I make beautiful GRAPHS and PLOTS using LaTeX
- November 4, 2023 » Transformers for Multimodal Self Supervised Learning
- November 3, 2023 » Lance; A Modern Columnar Data Format
- November 2, 2023 » Feature Store Architectures & Technical Challenges
- November 1, 2023 » Machine Learning for Multi-Scale Molecular Simulation and Design
October
- October 31, 2023 » Reasoning Algorithmically; from Toy Experiments to AGI Modules
- October 30, 2023 » Table Representation Learning
- October 29, 2023 » Language Models and Applications in Data Management
- October 28, 2023 » Categories for AI 1; Why Category Theory?
- October 27, 2023 » Estimating Separable Matching Models
- October 26, 2023 » Action Matching; Learning Stochastic Dynamics from Samples
- October 25, 2023 » Categories, Graphs, Reasoning
- October 24, 2023 » Heterogeneous Continual Learning
- October 23, 2023 » Tractable Control for Autoregressive Language Generation
- October 22, 2023 » Approximating the TV Distance Between Two Product Distributions
- October 21, 2023 » The Rise of Tractable Circuits
- October 20, 2023 » Tractable Bounding of Counterfactual Queries
- October 19, 2023 » A Tutorial on Causal Representation Learning
- October 18, 2023 » Explainable Data Drift for NLP
- October 17, 2023 » Open-Source Spotlight - Deepchecks
- October 16, 2023 » Develop test suites for machine learning models and data
- October 15, 2023 » Kolmogorov-Smirnov Test Explained
- October 14, 2023 » L-Infinity Distance Explained
- October 13, 2023 » Wasserstein Distance Explained
- October 12, 2023 » Jensen-Shannon Distance Explained
- October 11, 2023 » Comparison of Data Drift Detection Methods
- October 10, 2023 » Sketching and Projecting
- October 9, 2023 » Randomized Embeddings and Neural Networks
- October 8, 2023 » Memory-Regret Tradeoff for Online Learning
- October 7, 2023 » Sketching Techniques for Kernel Density Estimation
- October 6, 2023 » Fast Attention Requires Bounded Entries
- October 5, 2023 » From Machine Learning to Autonomous Intelligence
- October 4, 2023 » Less is More with PostgresML
- October 3, 2023 » The Power of Graph Learning
- October 2, 2023 » AI-Powered Database Optimization as a Service
- October 1, 2023 » Open Source Vector Search Engine and Vector Database
September
- September 28, 2023 » How to evaluate and explore data drift in ML systems
- September 27, 2023 » Hugging Face Tutorial
- September 26, 2023 » Python and PyTorch Tutorial
- September 25, 2023 » Data Drift & Model Drift Detection Using Python
- September 24, 2023 » Easiest way to Detect Data Drift Using Evidently
- September 23, 2023 » Data Drift Monitoring in Azure ML
- September 22, 2023 » Drifting Away; Testing ML Models in Production
- September 21, 2023 » Multimodal Deep Learning
- September 20, 2023 » Automating Model Monitoring and Drift Detection
- September 19, 2023 » Monitoring Model Quality in Streaming Machine Learning Applications
- September 18, 2023 » ML Drift; Identifying Issues Before You Have a Problem
- September 17, 2023 » Dynamic Graph Algorithms; What We Know and What We Don’t
- September 16, 2023 » How to Understand Clearly
- September 15, 2023 » Gentle Introduction to Causal Inference
- September 14, 2023 » Awesome Incremental Learning / Lifelong learning
- September 13, 2023 » Temporal Distributional Shifts
- September 13, 2023 » A Brief Introduction to Causal Inference
- September 12, 2023 » Explainable Deep Learning for Structured Data
- September 12, 2023 » Leveraging Privacy-Enhancing Technologies with LLMs
- September 11, 2023 » Probabilistic and Logical Circuits for Tractable Causal Reasoning
- September 10, 2023 » Probabilistic Reasoning and Learning for Trustworthy AI
- September 9, 2023 » Learned Query Optimiser At the Forefront of AI Driven Databases
- September 8, 2023 » Internals of Permissioned Blockchains
- September 7, 2023 » On the Role of Neural Collapse in Few-Shot Transfer Learning
- September 6, 2023 » Introduction to Data Structures and Optimization for Fast Algorithms
- September 5, 2023 » Attention Approximates Sparse Distributed Memory
- September 4, 2023 » Fine-Grained Complexity for Dynamic Graph Problems
- September 3, 2023 » Sketching
- September 2, 2023 » Graph Data Structures
- September 1, 2023 » Graph Linear Algebra
August
- August 31, 2023 » Kubeflow vs MLFlow
- August 30, 2023 » Language Models as Statisticians, and as Adapted Organisms
- August 30, 2023 » Differentially Private Sampling from Distributions
- August 29, 2023 » HNSW for Vector Search Explained and Implemented with Faiss
- August 28, 2023 » Incremental View Maintenance
- August 27, 2023 » Preserving Data Privacy in Federated Learning
- August 26, 2023 » On Localization in Language Models
- August 25, 2023 » Meaning in the age of large language models
- August 24, 2023 » Large Language Models Meet Copyright Law
- August 23, 2023 » Logic and Probabilistic Circuits
- August 22, 2023 » Prompt Engineering
- August 21, 2023 » Statistical Learning Theory and Neural Networks
- August 21, 2023 » LangChain "Advanced Retrieval" Webinar
- August 21, 2023 » Challenges and Opportunities in Differentially Private Federated Learning
- August 20, 2023 » LlamaIndex Overview & Use cases
- August 20, 2023 » In-Context Learning
- August 19, 2023 » 9 tips to help you PROVE MATH THEOREMS
- August 19, 2023 » Are LLMs the Beginning or End of NLP?
- August 19, 2023 » Bayesian Principles for Machine Learning
- August 18, 2023 » How to Speak
- August 18, 2023 » Differentially Private GNNs with Aggregation Perturbation
- August 18, 2023 » Recent Advances in Causality-based Recommendation
- August 17, 2023 » Interpretability via Symbolic Distillation
- August 17, 2023 » Synthesizing Relational Data with Differential Privacy
- August 16, 2023 » PrivSyn - Differentially Private Data Synthesis
- August 16, 2023 » Basics of Neurosymbolic Architectures
- August 16, 2023 » The Theory and Practice of Differential Privacy
- August 15, 2023 » Towards Reliable Use of Large Language Models
- August 15, 2023 » Cartel Screening and Machine Learning
- August 14, 2023 » Local Differential Privacy in Practice
- August 14, 2023 » Survey on Privacy/Security in FL
- August 13, 2023 » NVIDIA Keynote at SIGGRAPH 2023
- August 12, 2023 » Trustworthy AI - A Computational Perspective
- August 11, 2023 » High-Dimensional Bayesian Optimization
- August 10, 2023 » Self-Supervised Learning in Recommendation
- August 9, 2023 » Keeping AI under control through mechanistic interpretability
- August 9, 2023 » Towards Machines that can Learn, Reason, and Plan
- August 8, 2023 » Diffusion and Score-Based Generative Models
- August 7, 2023 » Differentially Private Diffusion Models
- August 6, 2023 » Foundation Models and Fair Use
- August 5, 2023 » Spatial Data Science Methods for Improving Models
- August 4, 2023 » Predictive Whittle Networks for Time Series
- August 3, 2023 » There's no such thing as MIRACLE
- August 2, 2023 » Locally Private Graph Neural Network
- August 1, 2023 » What is a Vector Database?
July
- July 31, 2023 » How to write Tree of Thoughts Prompts
- July 31, 2023 » What's the difference between programming and coding
- July 30, 2023 » Prompt Engineering Overview
- July 29, 2023 » A New Upper Bound for the Heilbronn Triangle Problem
- July 28, 2023 » AI and the Future of Humanity
- July 28, 2023 » Two Paths to Intelligence
- July 27, 2023 » Large Multimodal Models
- July 26, 2023 » ChatGPT for Data Analysts
- July 25, 2023 » Visual Prompting Livestream With Andrew Ng
- July 25, 2023 » Quantifying and Understanding Memorization in Deep Neural Networks
- July 24, 2023 » Cross-Platform Data Lineage with OpenLineage
- July 24, 2023 » Continuous Training and Deployment with ZenML and Seldon
- July 23, 2023 » CVPR Highlights 2023
- July 22, 2023 » Robust and Trustworthy Deep Learning
- July 21, 2023 » PFNs; Use neural networks for 100x faster Bayesian predictions
- July 20, 2023 » Multimodal Deep Learning for Protein Engineering
- July 19, 2023 » Topological Deep Learning; Going Beyond Graph Data
- July 18, 2023 » Is Distance Matrix Enough for Geometric Deep Learning?
- July 17, 2023 » Sign and Basis Invariant Networks for Spectral Graph Representation Learning
- July 16, 2023 » Distributed and Multiagent Reinforcement Learning
- July 15, 2023 » A Distributional Multi-agent Reinforcement Learning Approach
- July 14, 2023 » Deploy and Scale Models with BentoML
- July 13, 2023 » Tool Agnostic MLOps with ZenML
- July 12, 2023 » The Four Pillars of Machine Learning
- July 11, 2023 » When to use Kubernetes natively over Kubeflow for ML
- July 10, 2023 » Deploy ZenML + Kubeflow + MLflow + Minio
- July 9, 2023 » MLOps Pipeline Tutorial with ZenML and Kubeflow
- July 8, 2023 » ML models with ZenML and BentoML
- July 7, 2023 » Recent Advances in Vision Foundation Models
- July 6, 2023 » CVPR 2023 Tutorials
- July 5, 2023 » Model Registry and Deployment with MLflow
- July 4, 2023 » How to Deploy ML Models in Production with BentoML
- July 3, 2023 » Data Science–A Systematic Treatment
- July 2, 2023 » LEARN ENGLISH with STEVE JOBS
- July 1, 2023 » DuckDB Internals
June
- June 30, 2023 » How to Master the Art of Leadership
- June 29, 2023 » Getting Started with ZenML
- June 28, 2023 » Generative Models for Language and Vision
- June 27, 2023 » ChatGPT, LLMs & Generative AI; What Your Business Needs to Know
- June 26, 2023 » Differential Privacy & Variants
- June 21, 2023 » Towards Learned Database Systems
- June 20, 2023 » Deep Lake; a Lakehouse for Deep Learning
- June 19, 2023 » Towards Natural Language Query Answering
- June 2, 2023 » Do We Still Need People To Write Database Systems?
- June 1, 2023 » Generative AI and Databases
May
April
- April 27, 2023 » Amazon Redshift Internals
- April 26, 2023 » ChatGPT Course – Use The OpenAI API to Code 5 Projects
- April 24, 2023 » Installing and Using NVIDIA Docker
- April 18, 2023 » Hypertree Decompositions
- April 17, 2023 » What is Platform Engineering?
- April 13, 2023 » Databricks Spark SQL / Photon
- April 12, 2023 » Google BigQuery / Dremel
- April 10, 2023 » Personalized Image Generation
- April 9, 2023 » Kubeflow Pipelines 2.0
- April 8, 2023 » Learning to Transfer Knowledge Through Embedding Spaces
- April 7, 2023 » Traffic Prediction with Transfer Learning
- April 7, 2023 » First-Passage Percolation and Related Models
- April 6, 2023 » Sparse Fourier Transform Algorithm for Real-Time Applications
- April 2, 2023 » The Frontier of Deep Learning for Robotics
March
February
- February 27, 2023 » Hands-on Explainable Recommender Systems with Knowledge Graphs
- February 26, 2023 » Improving Recommender Systems with Human in the Loop
- February 12, 2023 » Open-Source Systems for Federated Learning
- February 11, 2023 » An Introduction to Federated Computation
- February 10, 2023 » Data Governance and Sharing on Lakehouse
- February 9, 2023 » Data Mesh and Lakehouse
- February 8, 2023 » Master Data Management
- February 7, 2023 » Setting up Big Data Fabric
- February 6, 2023 » On Future of the Modern Data Stack
- February 1, 2023 » Data Virtualization in Data Fabric
January
- January 31, 2023 » Recommender Systems using Graph Neural Networks
- January 26, 2023 » Activate Your Modern MetaData Stack
- January 24, 2023 » Databricks Lakehouse makes payments ingestion and analytics simple
- January 18, 2023 » The Essential Guide to Data Lineage
- January 17, 2023 » Data Governance Explained in 5 Minutes
- January 16, 2023 » Automated Data Lineage with Unity Catalog
- January 9, 2023 » Active Metadata - Understanding the magic behind the Data Fabric
- January 8, 2023 » Introduction to Data Mesh
- January 7, 2023 » PostgreSQL vs MySQL
- January 6, 2023 » Activate Your Metadata to Empower Innovation
- January 6, 2023 » Accelerating Hybrid Data Mesh Implementation
- January 5, 2023 » Deep-Dive into Delta Lake
- January 4, 2023 » Delta Lake 2.0 Overview
- January 3, 2023 » Advancing Spark - The Photon Whitepaper
- January 2, 2023 » Column-Level Lineage and Active Metadata
- January 1, 2023 » Five Things to Consider About Data Mesh and Data Governance
2022
December
- December 30, 2022 » Data Mesh Implementation Patterns
- December 29, 2022 » Intro to Databricks Lakehouse Platform Architecture and Security
- December 28, 2022 » Meshing About with Databricks
- December 27, 2022 » Enterprise Data Fabric
- December 26, 2022 » Converging Advances to Accelerate Molecular Simulation
- December 26, 2022 » Learning Delaunay Surface Elements for Mesh Reconstruction
- December 26, 2022 » Data Fabric for Self-Driving Cars
- December 23, 2022 » Knowledge Graphs Seminar
- December 19, 2022 » Data Cataloging with Knowledge Graphs
- December 14, 2022 » The Foundation of a Data Fabric
- December 13, 2022 » Data Mesh, Data Fabric, Data Lakehouse
- December 12, 2022 » Tractable Probabilistic Circuits
- December 6, 2022 » Distributed Analytical Database Systems
- December 5, 2022 » GraphZeppelin - Streaming Graph Connectivity at Scale
- December 1, 2022 » Understanding Graph Data Representations in Triplestores
November
- November 30, 2022 » Graph-Powered Data Exploration
- November 29, 2022 » Google BigQuery
- November 28, 2022 » Conformal Prediction Tutorial
- November 21, 2022 » Traffic Prediction Paper Collection
- November 15, 2022 » End-to-end Optimization of Machine Learning Prediction Queries
- November 14, 2022 » Compute Complex Temporal Join Queries Efficiently
- November 8, 2022 » Making Learned Query Optimization Practical
- November 7, 2022 » Universal Database Optimizer
- November 6, 2022 » Machine Learning for Query Optimization
- November 5, 2022 » ML Explainability
- November 4, 2022 » Towards Generalizable Autonomy
- November 4, 2022 » Building an AI and ML ready Modern Data Platform
- November 4, 2022 » Diffusion Probabilistic Modelling of Protein Backbones in 3D
- November 3, 2022 » ICCV Authors Guidelines
- November 2, 2022 » Diffusion Probabilistic Models
- November 1, 2022 » Stable Diffusion - What, Why, How?
October
- October 31, 2022 » Deep Energy-Based Learning
- October 30, 2022 » Incident Prediction in Spatio-Temporal Road Graph Networks
- October 19, 2022 » Diffusion probabilistic modelling of protein backbones in 3D
- October 18, 2022 » Contrastive Learning in PyTorch
- October 17, 2022 » Neural Rendering
- October 10, 2022 » Anatomy of a Research Paper
- October 6, 2022 » Geometric Deep Learning for Drug Discovery
- October 4, 2022 » Deploy Custom Python Model Server
- October 3, 2022 » Contrastive Learning in PyTorch
- October 2, 2022 » InferenceService using a Custom Torchserve Image
September
August
July
- July 30, 2022 » Recipe for a General, Powerful, Scalable Graph Transformer
- July 29, 2022 » Spatial Hash Grids & Tales from Game Development
- July 28, 2022 » Cardinality Estimation Benchmark
- July 27, 2022 » Spatial Indexing in PostGIS
- July 27, 2022 » Data-driven Learned Metric Index; an Unsupervised Approach
- July 26, 2022 » Synopses - Samples, Histogram, Wavelets and Sketches
- July 25, 2022 » Query Execution in MonetDB
- July 24, 2022 » Low overhead self-optimizing storage for compression
- July 23, 2022 » A Database Tuning Tool that "Reads the Manual"
- July 22, 2022 » Rethinking Graph Transformers with Spectral Attention
- July 21, 2022 » Introduction to TorchServe
- July 21, 2022 » MicroK8s Installation & Simple Commands
- July 20, 2022 » Diffusion Models from Scratch in PyTorch
- July 19, 2022 » Deep Learning Theory Lectures
- July 18, 2022 » Kubeflow Fairing
- July 18, 2022 » Kubeflow Fairing, Pipelines, and Training
- July 17, 2022 » On Recoverability of Graph Neural Network Representation
- July 16, 2022 » Deploy Model to KServe
- July 15, 2022 » TorchScript and PyTorch JIT
- July 14, 2022 » Spectra of Graphs and Hypergraphs
- July 14, 2022 » How to Serve PyTorch Models with TorchServe
- July 13, 2022 » A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching
- July 13, 2022 » Graph Embedding in Vector Spaces Using Matching-Graphs
- July 12, 2022 » Google Cloud BigQuery ML Using SQL
- July 11, 2022 » Open World Lifelong Learning
- July 10, 2022 » On Machines that can Learn Continually
- July 9, 2022 » Introduction to Continual Learning
- July 8, 2022 » Introducing OpenAPI Generator
- July 7, 2022 » Kubeflow Development Environment
- July 6, 2022 » KFServing Deep Dive
- July 5, 2022 » Protein structure prediction with AlphaFold
- July 4, 2022 » Deep Learning for Scientific Computation
- July 3, 2022 » Started with AI in Drug Discovery
- July 2, 2022 » Istio Simplified
- July 1, 2022 » Knative and Microk8s with Multipass
June
- June 30, 2022 » KServe in Kubenetes
- June 29, 2022 » Graph Ordering Attention Networks
- June 28, 2022 » Introduction to KServe
- June 27, 2022 » Position-Aware Graph Neural Network using Reachability Estimations
- June 26, 2022 » Isomorphism Using Adjacency Matrix
- June 25, 2022 » Efficient Probabilistic Truss Indexing on Uncertain Graphs
- June 24, 2022 » Toward Verified Artificial Intelligence
- June 23, 2022 » Modern Data Stack
- June 22, 2022 » PyTorchJobClient
- June 22, 2022 » KServe (Kubeflow KFServing) Live Coding Session
- June 21, 2022 » Workflow for ML Projects — MLOps
- June 20, 2022 » Kubeflow Setup
- June 19, 2022 » Introduction to Data Mesh
- June 18, 2022 » Theory of Graph Neural Networks
- June 17, 2022 » Representational Power of Graph Nerual Networks
- June 16, 2022 » Task structure and generalization in graph neural networks
- June 15, 2022 » Geometry Processing with Neural Fields
- June 14, 2022 » Trends in AI
- June 14, 2022 » RelationalAI Knowledge Graph Management System
- June 13, 2022 » Topological Graph Neural Networks
- June 12, 2022 » Causality and (Graph) Neural Networks
- June 11, 2022 » Using Graph Neural Networks for Multi-Node Representation Learning
- June 10, 2022 » Epistemic Uncertainty Estimation for Efficient Search of Drug Candidates
- June 9, 2022 » Toward Neuro Causality
- June 9, 2022 » Connect to MySQL Database from Visual Studio Code
- June 8, 2022 » Data-Efficient Graph Grammar Learning for Molecular Generation
- June 8, 2022 » Rethinking Graph Transformers with Spectral Attention
- June 8, 2022 » How GNNs and Symmetries can help to solve PDEs
- June 7, 2022 » Neural diffusion PDEs, differential geometry, and graph neural networks
- June 7, 2022 » BigQuery ML; Machine Learning with Standard SQL
- June 6, 2022 » GNN with Learnable Structural and Positional Presentations
- June 5, 2022 » Istio Service Mesh 101
- June 5, 2022 » Graph Neural Networks and Diffusion PDEs
- June 4, 2022 » Recommender Systems using Graph Neural Networks
- June 4, 2022 » Manage Multi-tenant ML Workloads Using Istio
- June 4, 2022 » Graph Neural Networks as Neural Diffusion PDEs
- June 3, 2022 » Exploring ML Model Serving with KServe
- June 3, 2022 » Kubeflow Tutorial | Model Serving
- June 3, 2022 » Using AI to accelerate scientific discovery
- June 2, 2022 » Java to MySQL using Visual Studio Code
- June 1, 2022 » Developing the Kubernetes Python Client
May
- May 31, 2022 » Kubernetes Patterns
- May 30, 2022 » Using Visual Studio Code for Java Maven Project
- May 29, 2022 » Mapping External Services
- May 28, 2022 » MiniKF; Kubeflow on your laptop
- May 28, 2022 » Gateway Routing Pattern
- May 27, 2022 » Kubeflow v1.5 Release Overview
- May 26, 2022 » TensorFlow Distributed Training on Kubeflow
- May 25, 2022 » Sidecar Pattern
- May 24, 2022 » YAML
- May 23, 2022 » Kubeflow on macOS
- May 23, 2022 » Why is Kubernetes called K8s?
- May 22, 2022 » Kubernetes Crash Course for Absolute Beginners
- May 21, 2022 » Marrying Top k with Skyline Queries
- May 20, 2022 » Spatial Skyline Queries on Triangulated Irregular Networks
- May 19, 2022 » Challenges and Solutions of Using Kubernetes for Blockchain Applications
- May 18, 2022 » PyTorch Training (PyTorchJob)
- May 18, 2022 » Kubeflow Architecture
- May 18, 2022 » Istio and Service Mesh
- May 17, 2022 » Kubernetes Tutorial for Beginners
- May 17, 2022 » Serving Machine Learning Models at Scale Using KServe
- May 17, 2022 » Advanced Model Inferencing Leveraging Kubeflow Serving
- May 16, 2022 » PyTorch via SQL Commands
- May 15, 2022 » Scaling Shortest Path Graph Queries on Very Large Networks
- May 14, 2022 » Hierarchical Core Maintenance on Large Dynamic Graphs
- May 13, 2022 » Shortest Paths and Centrality in Uncertain Networks
- May 12, 2022 » Bag of Tricks for Node Classification with Graph Neural Networks
- May 11, 2022 » The Case for Learned Index Structures
- May 10, 2022 » Deep Learning for Graph Similarity Search
- May 9, 2022 » HyperSPNs; Compact and Expressive Probabilistic Circuits
- May 8, 2022 » Learned Index Structures for Dynamic and Multi-Dimensional Data
- May 7, 2022 » Blame the Data, Not the System
- May 6, 2022 » Hyperbolic Embeddings in Machine Learning and Deep Learning
- May 5, 2022 » What are Temporal Databases?
- May 4, 2022 » Git Commit Message Style Guide
- May 3, 2022 » What is PrestoDB?
- May 2, 2022 » Spatial, High Dimensional, Temporal Data Indexing and Querying
- May 1, 2022 » A Learned Spatial Index for Range and kNN Queries
April
- April 30, 2022 » An Introduction to Spatial Data and its Applications
- April 29, 2022 » Robustness/Interpretability in Vision & Language Models
- April 28, 2022 » Visual Data Analysis; How? When? Why?
- April 27, 2022 » SageDB; A Self-Assembling Database System
- April 26, 2022 » Towards Zero-Shot Learning for Databases
- April 25, 2022 » From Workload-Driven to Zero-Shot Learning
- April 24, 2022 » From Notebook to Kubeflow Pipelines to KFServing
- April 23, 2022 » Improving Transfer and Robustness of Supervised Contrastive Learning
- April 22, 2022 » Approximate Query Processing
- April 21, 2022 » What are Probabilistic Data Structures?
- April 20, 2022 » Approximation Algorithms for Large Scale Data Analysis
- April 19, 2022 » Modeling Relational Data with Graph Convolution Network
- April 18, 2022 » Open-source Change Data Capture With Debezium
- April 18, 2022 » Finding Approximately Repeated Patterns in Time Series
- April 17, 2022 » Looper; An End-to-End ML Platform for Product Decisions
- April 16, 2022 » Learned Indexing and Sampling for Improving Query Performance
- April 15, 2022 » Principles of Good Machine Learning Systems Design
- April 14, 2022 » Deep Learning Design Patterns
- April 13, 2022 » Tips for Thinking Like a Machine Learning Architect
- April 12, 2022 » Machine Learning Design Patterns
- April 11, 2022 » Introduction to Kubeflow
- April 10, 2022 » Martingale Theory
- April 9, 2022 » Making Architecture Matter
- April 8, 2022 » Bayesian Inference for Big Data
- April 7, 2022 » Architecture and Cardinality Estimations for Graph Queries
- April 6, 2022 » What causes congestion?
- April 5, 2022 » Optimization problems in graphs with locational uncertainty
- April 4, 2022 » Deep Implicit Layers
- April 3, 2022 » Convex Functions
- April 2, 2022 » Quantum Deep Learning
- April 1, 2022 » Uncertainty and Out-of-Distribution Robustness in Deep Learning
March
- March 31, 2022 » Probabilistic Methods for Increased Robustness in Machine Learning
- March 30, 2022 » Probabilistic Circuits - Representations, Inference, Learning and Theory
- March 29, 2022 » FLAT-Fast, Lightweight and Accurate Method for Cardinality Estimation
- March 28, 2022 » Learned Query Scheduling
- March 23, 2022 » A 10 Minute Introduction to Kubeflow
- March 22, 2022 » Ethics of Artificial Intelligence
- March 21, 2022 » What is AI Ethics?
- March 20, 2022 » What is the Cardinality Estimator?
- March 18, 2022 » Qd-tree - Learning Data Layouts for Big Data Analytics
- March 17, 2022 » Sum-Product Networks
- March 16, 2022 » Towards Zero-Shot Learning for Databases
- March 15, 2022 » Machine Learning Design Patterns
- March 14, 2022 » Learned DBMS Components 2.0
- March 13, 2022 » Deep Multi-task and Meta Learning
- March 12, 2022 » Machine Learning Design Patterns - Rebalancing
- March 11, 2022 » Calcite Tutorial
- March 10, 2022 » NeuroCard - One Cardinality Estimator for All Tables
January
2021
December
- December 31, 2021 » Query Optimization and Acceleration at Dremio
- December 30, 2021 » AI4DB & DB4AI-Papers
- December 29, 2021 » Permissioned Blockchains
- December 28, 2021 » Apache Spark, Data Science + Machine Learning
- December 27, 2021 » Introduction to Temporal Graph Neural Networks
- December 26, 2021 » Traffic Forecasting with Pytorch Geometric Temporal
- December 9, 2021 » Geometric Deep Learning
- December 8, 2021 » What Is NFT? - Non Fungible Token
- December 5, 2021 » Deep Recommender Systems
- December 4, 2021 » Weisfeiler and Lehman Go Cellular; CW Networks
- December 3, 2021 » Matrix Multiplication, and the Asymptotic Spectrum Of Tensors
- December 2, 2021 » Traffic Prediction for Intelligent Transport System
November
October
- October 14, 2021 » Preparing For Your Dissertation Defense
- October 13, 2021 » Oral Dissertation Defense Preparation
- October 12, 2021 » How To Defend Your Thesis? Top 10 Tips For Success
- October 11, 2021 » How to Get a PhD in Computer Science
- October 10, 2021 » 100 Thesis Defense Questions in 3 Categories
- October 9, 2021 » 10 Mistakes to Avoid When Defending Your Thesis
- October 8, 2021 » How to prepare for your PhD thesis defence
- October 7, 2021 » Geometric Deep Learning-Past, Present, And Future Optimization
- October 6, 2021 » Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
- October 5, 2021 » How to write a literature review - my simple 5 step process!
- October 4, 2021 » Geometric Deep Learning - from Euclid to drug design
- October 3, 2021 » Graph Isomorphism in Quasipolynomial Time
- October 2, 2021 » Geometric Deep Learning Blueprint
- October 1, 2021 » Geometric Deep Learning-The Erlangen Programme of ML
September
- September 30, 2021 » KDD Cup OGB Large-Scale Challenge
- September 29, 2021 » Theoretical Foundations of Data-Driven Algorithm Design
- September 28, 2021 » Relational Inductive Biases, Deep Learning, and Graph Networks
- September 27, 2021 » The Future Is Big Graphs
- September 26, 2021 » The Universal Approximation Theorem
- September 25, 2021 » Equivariant Networks and Natural Graph Networks
- September 24, 2021 » An Introduction to Hamiltonian Monte Carlo Method for Sampling
- September 23, 2021 » Recurrent Neural Networks for Cognitive Neuroscience
- September 22, 2021 » Permutation Equivariance of Graph Filters
- September 21, 2021 » Graph Convolutional and Isomorphism Networks
- September 20, 2021 » Combinatorial Properties of the Weisfeiler-Leman Algorithm
- September 19, 2021 » Advances in Self-Supervised Learning
- September 18, 2021 » Contrastive Loss, Deep Metric Learning
- September 17, 2021 » Self-Supervised Learning
- September 16, 2021 » Contrastive Learning; A General Self-supervised Learning Approach
- September 15, 2021 » Supervised Contrastive Learning
- September 14, 2021 » What is Noise-Contrastive Estimation?
- September 13, 2021 » GNNs with Learnable Structural and Positional Representation
- September 12, 2021 » Knowledge Graph Representation
- September 11, 2021 » Temporal Graph Networks (TGN)
- September 10, 2021 » Building a Recommender System using Graph Neural Networks
- September 9, 2021 » Junction Tree Variational Autoencoder for Molecular Graph Generation
- September 8, 2021 » Understanding Graph Attention Networks
- September 7, 2021 » GVAE Training and Adjacency Reconstruction
- September 6, 2021 » Graph Representation Learning for Drug Discovery
- September 5, 2021 » Graph Neural Networks for Traffic Prediction
- September 4, 2021 » Visual Exploration of Trajectory Data
- September 3, 2021 » GPS Data Analysis with Python
- September 2, 2021 » 22 Python libraries for Geospatial Data Analysis
- September 1, 2021 » Clustering Trajectories
August
- August 31, 2021 » Towards Causal Representation Learning
- August 30, 2021 » Random Sum Product Networks
- August 29, 2021 » Understanding & Generating Source Code with Graph Neural Networks
- August 28, 2021 » Sum-Product Networks; The Next Generation of Deep Models
- August 27, 2021 » Deep Learning to Discover Coordinates for Dynamics
- August 26, 2021 » The Power of Graph Signal Processing
- August 25, 2021 » Some Mathematical Problems in Graph Signal Processing
- August 24, 2021 » On Laplacian Eigenmaps for Dimensionality Reduction
- August 23, 2021 » Overview of Graph Embeddings
- August 22, 2021 » Sum-Product Networks; Powerful Models with Tractable Inference
- August 21, 2021 » Sum-Product Networks
- August 20, 2021 » Geometric Deep Learning and Reinforcement Learning
- August 19, 2021 » Discovering Genetic Medicines with our AI Drug Discovery Platform
- August 18, 2021 » Proof of Euler's Formula
- August 17, 2021 » GNNs and RL in Traffic Optimization in Cities
- August 16, 2021 » Graph Neural Networks and Applications to Deep Reinforcement Learning
- August 15, 2021 » Writing Scientific Papers
- August 14, 2021 » Drug Discovery with GANs
- August 13, 2021 » PyTorch nn.Embedding()
- August 12, 2021 » Reproducing Kernel Hilbert Spaces
- August 11, 2021 » Dynamical Systems and Machine Learning
- August 10, 2021 » An Introduction to Hilbert Spaces
- August 9, 2021 » Graph Neural Networks in Computational Biology
- August 8, 2021 » What is Euler's Number 'e'?
- August 7, 2021 » Euler's Formula
- August 6, 2021 » The Characteristic Equation and Eigenvalues
- August 5, 2021 » Spanning Trees and Kirchhoff's Theorem
- August 4, 2021 » Acceptance Rate of AI Conferences
- August 3, 2021 » Deep Graph Learning Foundations, Advances and Applications
- August 2, 2021 » Learning Graphs from Data; A Signal Processing Perspective
- August 1, 2021 » Making Graphs Compact by Lossless Contraction
July
- July 31, 2021 » A Short Course in Spectral Graph Theory
- July 30, 2021 » An Introduction to Spectral Graph Theory
- July 29, 2021 » Spectral Graph Theory; Enter Linear Algebra
- July 28, 2021 » Spectral Graph Theory; The Standard Random Walk
- July 27, 2021 » Spectral Graph Theory; The Quadratic Form
- July 26, 2021 » The Laplacian Matrices of Graphs; Algorithms and Applications
- July 25, 2021 » Pragmatic Ridge Spectral Sparsification for Large-Scale Graph Learning
- July 24, 2021 » Knowledge Graph Embeddings Tutorial; From Theory to Practice
- July 23, 2021 » How to use edge features in Graph Neural Networks
- July 22, 2021 » Graph Representation Learning
- July 21, 2021 » Papers on Graph Neural Networks
- July 20, 2021 » A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
- July 19, 2021 » Super-Constant-Pass Streaming Lower Bounds for Reachability
- July 18, 2021 » Awesone Neural ODE
- July 17, 2021 » Neural Differential Equations
- July 16, 2021 » Generative Adversarial Networks and TF-GAN
- July 15, 2021 » Fairness and Bias in Algorithmic Decision-Making
- July 14, 2021 » A Learned Sketch for Subgraph Counting
- July 13, 2021 » Learning over sets, subgraphs, and streams
- July 12, 2021 » Categorical Reparameterization with Gumbel-Softmax
- July 11, 2021 » A Deterministic Parallel APSP Algorithm and its Applications
- July 10, 2021 » How Do You Generate Synthetic Data?
- July 9, 2021 » Synthetic Tabular Data Generation
- July 8, 2021 » Decremental All-Pairs Shortest Paths in Deterministic Near-Linear Time
- July 7, 2021 » Streaming Lower Bounds for Reachability
- July 6, 2021 » Learning Deep Matrix Factorizations Via Gradient Descent
- July 5, 2021 » NVIDIA Omniverse and a Future of Shared Worlds
- July 4, 2021 » Introduction to Graph Neural Networks
- July 3, 2021 » CVPR 2021 Workshop on Autonomous Vehicles
- July 2, 2021 » Pytorch-BigGraph; A Large Scale Graph Embedding System
- July 1, 2021 » Unsupervised Intelligent Agents
June
- June 30, 2021 » Uncertainty, causality and generalization
- June 29, 2021 » Illustrated Guide to RNN, LSTM, and Transformers
- June 28, 2021 » Banach Space Representer Theorems for Neural Networks
- June 27, 2021 » Next-Generation Recurrent Network Models
- June 26, 2021 » Graph Representation Learning for Drug Discovery
- June 25, 2021 » PostgreSQL Optimizer Methodology
- June 24, 2021 » PPRGo-Scaling Graph Neural Networks with Approximate PageRank
- June 23, 2021 » The Energy-Based Learning Model
- June 22, 2021 » But how does bitcoin actually work?
- June 21, 2021 » Explainable AI Cheat Sheet - Five Key Categories
- June 20, 2021 » Digital Twins and Geospatial Data
- June 19, 2021 » Trends in Traffic Prediction
- June 18, 2021 » Understanding Competencies
- June 17, 2021 » Scaling Up Graph Neural Networks to Large Graphs
- June 16, 2021 » Inductive Logic Programming
- June 15, 2021 » Useful Resources for Traffic Prediction
- June 14, 2021 » A Video Game That Looks Like Reality!
- June 13, 2021 » Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
- June 12, 2021 » New lower and upper bounds for quantile summary algorithms
- June 11, 2021 » Data Summarization for Machine Learning
- June 10, 2021 » Position aware Graph Neural Networks
- June 9, 2021 » Instacart Data Description
- June 8, 2021 » Fast Counts on Big Data Systems
- June 7, 2021 » MonetDB; Scale Up Before You Scale Out
- June 6, 2021 » Kronecker Graphs, Data Generation, and Performance
- June 5, 2021 » AI+VR; The Kayfabe Life
- June 4, 2021 » Efficient Query Processing Using Machine Learning
- June 3, 2021 » How to use mathcha math online editor
- June 2, 2021 » Uncertainty estimation in supervised learning
- June 1, 2021 » Approximately Bayesian Ensembling
May
- May 31, 2021 » Efficient Data Processing on Modern Hardware
- May 30, 2021 » AI Bias and Fairness
- May 29, 2021 » Generative Models for Graphs
- May 28, 2021 » Evidential Deep Learning and Uncertainty
- May 27, 2021 » Learned Approximate Query Processing
- May 26, 2021 » Meta Learning Tutorial
- May 25, 2021 » Deep Learning Outline
- May 24, 2021 » Transfer Learning
- May 23, 2021 » Approximate nearest neighbor search in high dimensions
- May 22, 2021 » Learning-Based Sketching Algorithms
- May 21, 2021 » Deep Learning Under Distribution Shift
- May 20, 2021 » Principles for Tackling Distribution Shift
- May 19, 2021 » Scalable Graph Neural Networks with Deep Graph Library
- May 18, 2021 » Deep InfoMax
- May 17, 2021 » Introduction to Bandits in Recommender Systems
- May 16, 2021 » Our paper has been published in IEEE Access!
- May 15, 2021 » Constant Girth Approximation for Directed Graphs in Subquadratic Time
- May 14, 2021 » Conditionally optimal approximation algorithms
- May 13, 2021 » Sparsification of Graphs and Matrices
- May 12, 2021 » How to Write a Great Research Paper
- May 11, 2021 » Vision Transformer - Keras Code Examples
- May 10, 2021 » Vision Transformer
- May 9, 2021 » MLP-Mixer; An all-MLP Architecture for Vision
- May 8, 2021 » From AlphaGo to MuZero
- May 7, 2021 » Moral Machines; How culture changes values?
- May 6, 2021 » Generative Adversarial Networks
- May 5, 2021 » Hardness of Approximation Between P and NP
- May 4, 2021 » GPT-3 = Generation Pre-trained Transformer 3
- May 3, 2021 » Graph Attention Networks Implementation
- May 2, 2021 » Introduction to Pytorch Geometric
- May 1, 2021 » Deep Learning for Graphs
April
- April 30, 2021 » Geometric Deep Learning
- April 29, 2021 » Graph Neural Networks - Models and Applications
- April 22, 2021 » Matching of Matching Graphs
- April 21, 2021 » Graph Classification using Structural Attention
- April 20, 2021 » Approximate Personalized PageRank on Dynamic Graphs
- April 19, 2021 » GCNs for Web-Scale Recommender Systems
- April 18, 2021 » Inductive Representation Learning on Large Graphs
- April 17, 2021 » Write Research Paper Outline
- April 16, 2021 » How to Respond to Reviewer Comments
- April 15, 2021 » Limitations of Graph Neural Networks
- April 14, 2021 » Choice of Graph Representation
- April 13, 2021 » Inductive Representation Learning on Temporal Graphs
- April 12, 2021 » Applications of Graph ML
- April 11, 2021 » Machine Learning with Graphs
- April 10, 2021 » How to Review a Research Paper
- April 9, 2021 » Approximate standing queries on Stream Processing
- April 8, 2021 » Learning Mesh-Based Simulation with Graph Networks
- April 7, 2021 » Temporal Graph Networks for Deep Learning on Dynamic Graphs
- April 6, 2021 » Graph Neural Networks and Knowledge Graph Completion
- April 5, 2021 » Parallel and Distributed Computing in Python with Dask
- April 4, 2021 » Reducing Communication in Graph Neural Network Training
- April 3, 2021 » Mathematical Foundations of the GraphBLAS and Big Data
- April 2, 2021 » Graph Signal Processing - Accounting for Geometry in Data
- April 1, 2021 » Graph Signal Processing for Machine Learning Applications
March
- March 28, 2021 » Papers on Recommendation Systems
- March 27, 2021 » Representational Power of Graph Neural Networks
- March 26, 2021 » Tunable Stream Graph Embeddings at Scale
- March 25, 2021 » Graph Neural Networks
- March 24, 2021 » Graph Convolutional Networks using only NumPy
- March 23, 2021 » Temporal Graph Networks for Dynamic Graphs
- March 22, 2021 » Graph Algorithms as Matrix Vector Products
- March 21, 2021 » Distributed Machine Learning with Python
- March 13, 2021 » Deep Networks Are Kernel Machines
- March 8, 2021 » How the Quest for the Ultimate Learning Machine Will Remake Our World
- March 1, 2021 » Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs
February
January
2020
December
- December 19, 2020 » Research Resources for Approximate Query Processing
- December 18, 2020 » Research Directions for Sketching Algorithms
- December 17, 2020 » The Forward-Backward Embedding of Directed Graphs
- December 16, 2020 » The Dynamics of Active Sensing in Social Networks
- December 15, 2020 » Large-scale Graph Representation Learning
- December 14, 2020 » Graph Embedding
- December 13, 2020 » Individual and Collective Graph Mining
- December 11, 2020 » New Machine Learning Tool Tracks Urban Traffic Congestion
- December 7, 2020 » Network Analysis
- December 6, 2020 » Getting Started With Network Datasets
- December 4, 2020 » Bourgain's Embedding
- December 3, 2020 » High Accuracy Protein Structure Prediction Using Deep Learning
- December 2, 2020 » Testing Correlation of Unlabeled Random Graphs
- December 1, 2020 » Designing Effective Scientific Presentations
November
- November 27, 2020 » Quick & Simple Call Graphs in Python
- November 25, 2020 » Latent Network Summarization
- November 20, 2020 » Asymptotic Spectral Distributions for Strongly Regular Graphs
- November 13, 2020 » Graph Convolutional Neural Networks for Molecule Generation
- November 12, 2020 » Deep Learning on Graphs
- November 11, 2020 » Principles and Applications of Relational Inductive Biases
- November 10, 2020 » Traffic Prediction with Advanced Graph Neural Networks
- November 9, 2020 » Papers on Graph Neural Networks
- November 5, 2020 » Self-Driving Databases
- November 1, 2020 » Network Representation Learning
October
- October 31, 2020 » Non-Volatile Memory for Database Management Systems
- October 30, 2020 » Related Papers on Graph Neural Networks
- October 29, 2020 » Finding a New Knowledge
- October 27, 2020 » Beautiful Elastic Simulations, Now Much Faster!
- October 25, 2020 » Approximate Nearest Neighbor Search in High Dimensions
- October 24, 2020 » Billion-scale Approximate Nearest Neighbor Search
- October 19, 2020 » Spatio-Temporal Traffic Prediction Using Deep Learning
- October 18, 2020 » Machine Learning Dissertations
- October 13, 2020 » Research Day
- October 11, 2020 » CS Theory Toolkit
- October 7, 2020 » Deep Learning with PyTorch
- October 6, 2020 » Graph Signal Processing
September
- September 29, 2020 » Deep Learning Lectures
- September 25, 2020 » Convolutional LSTMs for Video Prediction
- September 24, 2020 » Research Proposal
- September 23, 2020 » Nonlinear Dimensionality Reduction
- September 22, 2020 » What Data Platforms Can Do for Machine Learning Workloads
- September 15, 2020 » AI for Neuroscience and Neuroscience for AI
- September 11, 2020 » Optimal Join Algorithms meet Top-k
- September 5, 2020 » Machine Learning Projects Against COVID-19
- September 4, 2020 » Antistrong Digraphs
- September 2, 2020 » Reflections from the Turing Award Winners
August
- August 26, 2020 » Recent Progress in High-Dimensional Learning
- August 25, 2020 » Dynamics of Real Networks - Patterns and Algorithms
- August 24, 2020 » Chasing the COVID-19 Pandemic through Modeling
- August 23, 2020 » This AI Removes Shadows From Your Photos!
- August 21, 2020 » Deep Generative Models for Brain Reading
- August 13, 2020 » Setting Up Your Kubeflow ML Environment
- August 12, 2020 » Statistical Learning Theory for Modern Machine Learning
- August 11, 2020 » Deep Learning for Computer Vision
- August 10, 2020 » Big Ideas in Causality and Machine Learning
- August 8, 2020 » AI for physics & physics for AI
- August 7, 2020 » A Blueprint of Standardized and Composable Machine Learning
- August 6, 2020 » Random Walks on Directed Graphs
- August 5, 2020 » Neural Ordinary Differential Equations
- August 4, 2020 » A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
- August 3, 2020 » Variational Graph Recurrent Neural Networks
- August 2, 2020 » Influence Analytics in Graphs
- August 1, 2020 » Learning from Limited Labeled Data
July
- July 31, 2020 » State of the Industry of Machine Learning Platforms
- July 30, 2020 » Fundamentals of NumPy
- July 29, 2020 » Fundamentals of PyTorch
- July 28, 2020 » Towards Lifelong Learning Machines (L2L)
- July 27, 2020 » Graph Attention Networks
- July 26, 2020 » Learning Equivariant and Hybrid Message Passing on Graphs
- July 25, 2020 » Adversarial Examples and Human-ML Alignment
- July 24, 2020 » Graph Nets; The Next Generation
- July 23, 2020 » Meta-learning
- July 22, 2020 » Meta-learning of Optimizers and Update Rules
- July 21, 2020 » Efficient Deep Learning with Humans in the Loop
- July 20, 2020 » Generalizable Autonomy for Robot Manipulation
- July 19, 2020 » Conditional Channel Gated Networks for Task-Aware Continual Learning
- July 18, 2020 » Transfer/Low-Shot/Semi/Unsupervised Learning
- July 17, 2020 » Mathematical Modeling of Epidemics
- July 16, 2020 » How Behavior Spreads
- July 15, 2020 » Network Diffusion & Contagion
- July 14, 2020 » Explainable AI - Methods, Applications & Recent Developments
- July 13, 2020 » Graph Representation Learning
- July 12, 2020 » The Feature Store
- July 11, 2020 » An Introduction to Meta Learning
- July 10, 2020 » Explainable AI
- July 9, 2020 » Design of BigQuery ML
- July 8, 2020 » Improving Generalization by Self-Training & Self Distillation
- July 7, 2020 » Neurosymbolic AI
- July 6, 2020 » Task dependent adaptive metric for improved few-shot learning
April
2019
July
June
May
April
- April 29, 2019 » The JPEG Compression Algorithm
- April 28, 2019 » Transfer Learning
- April 27, 2019 » Geometric Deep Learning Papers
- April 26, 2019 » Controlling Traffic with Reinforcement Learning
- April 19, 2019 » Ian Goodfellow-Generative Adversarial Networks (GANs)
- April 18, 2019 » Notes on Graph Theory
- April 13, 2019 » Metric Learning and Manifolds
- April 12, 2019 » Awesome Knowledge Distillation
- April 10, 2019 » The Power of Self-Learning Systems
- April 3, 2019 » Variational Inference-Foundations and Modern Methods
March
- March 28, 2019 » 3D Deep Learning
- March 27, 2019 » Machine Learning on Geometrical Data
- March 26, 2019 » Hough Transform for Lines
- March 25, 2019 » Deep Compression
- March 24, 2019 » Model Compression Papers
- March 23, 2019 » Deep RL Bootcamp
- March 21, 2019 » Natural Policy Gradients, TRPO, PPO
- March 20, 2019 » Deep Learning for Recommender Systems
- March 19, 2019 » Awesome Knowledge Distillation
- March 18, 2019 » Knowledge Distillation
- March 17, 2019 » Distill and transfer learning for robust multitask RL
- March 14, 2019 » Geometric Deep Learning
- March 13, 2019 » Visualizing and Understanding Generative Adversarial Networks
- March 8, 2019 » Trust Region Policy Optimization
- March 6, 2019 » Generative Adversarial Imitation Learning
- March 3, 2019 » Google AI's Take on How To Fix Peer Review
February
January
2018
December
September
July
June
May
- May 29, 2018 » Applied Time Series Econometrics in Python and R
- May 28, 2018 » Time Series Analysis with Python Intermediate
- May 25, 2018 » Two Effective Algorithms for Time Series Forecasting
- May 16, 2018 » AI Learns Painterly Harmonization
- May 15, 2018 » Deep Learning with Ensembles of Neocortical Microcircuits
- May 14, 2018 » A Neural Network Model That Can Reason
- May 12, 2018 » 누구나 할 수 있는 엄청난 몰입력의 5가지 단계
- May 11, 2018 » This AI Reproduces Human Perception
- May 10, 2018 » 미루는 버릇을 완전히 없애주는 '2분짜리 간단한 습관'
- May 9, 2018 » From Generative Models to Generative Agents
- May 7, 2018 » World Models
- May 3, 2018 » What Can Machine Learning Do? Workforce Implications
April
- April 28, 2018 » Introduction to AI for Video Games
- April 27, 2018 » Korea Summit 2018
- April 26, 2018 » 3D Generative-Adversarial Modeling
- April 25, 2018 » Generative Models
- April 24, 2018 » The Design of Traffic Flow Prediction System Based on Multimodal Data
- April 24, 2018 » AI Photo Translation
- April 23, 2018 » Cluster Analysis
- April 22, 2018 » Deepmind AlphaZero - Mastering Games Without Human Knowledge
- April 21, 2018 » NIPS Paper Evaluation Criteria
- April 20, 2018 » Tutorial on GANs
- April 19, 2018 » Equilibrium points in n-person games
- April 18, 2018 » Machine Learning Reports
- April 17, 2018 » Gaussian Material Synthesis
- April 16, 2018 » Sequence Generative Adversarial Nets with Policy Gradient
- April 15, 2018 » The Robot Revolution - The New Age of Manufacturing
- April 14, 2018 » Evolutionary Generative Adversarial Networks
- April 13, 2018 » Time Series Generation with Recurrent Conditional GANs
- April 12, 2018 » Predicting Car Prices using Neural Networks
- April 11, 2018 » Predicting Car Prices - Linear Regression
- April 10, 2018 » Deep Reinforcement Learning
- April 9, 2018 » Brains, Minds and Machines Summer Course
- April 8, 2018 » OpenAI Meta Learning and Self Play
- April 7, 2018 » Time Series Analysis
- April 6, 2018 » Using Support Vector Machines as Flower Finders
- April 5, 2018 » SARSA vs Q-learning
- April 5, 2018 » Building a Neural Network Using the Iris Data Set
- April 4, 2018 » Classification using Decision Trees in R
- April 3, 2018 » The Long-term of AI & Temporal-Difference Learning
- April 2, 2018 » Why we learn?
- April 2, 2018 » Leeds annual traffic growth
- April 1, 2018 » One pixel attack for fooling deep neural networks
March
- March 31, 2018 » Visual Studio Code, CMake and LLDB
- March 30, 2018 » Extreme Team
- March 29, 2018 » Visual Studio Code - C++ Development
- March 28, 2018 » Learning From Scratch
- March 27, 2018 » Cellular Automata
- March 26, 2018 » Radial basis function (RBFs)
- March 25, 2018 » Karush-Kuhn-Tucker Condition
- March 24, 2018 » Boundary Equilibrium Generative Adversarial Networks
- March 23, 2018 » GAN Tutorials
- March 22, 2018 » How To Read a Scientific Research Paper
- March 21, 2018 » UML Tools for Python
- March 20, 2018 » Introduction to gRPC
- March 19, 2018 » Design Patterns in Python
- March 18, 2018 » How to Write a Research Plan
- March 17, 2018 » A Modern Toolkit for Microservice Communication
- March 17, 2018 » All about the GANs
- March 16, 2018 » Predicting Congestion with Tensorflow
- March 15, 2018 » Sequential Implementation of Mesoscopic Simulation
- March 15, 2018 » Processing 100 Billion IoT Events
- March 14, 2018 » Predicting congestion on London's roads with TensorFlow
- March 13, 2018 » Improving Traffic Prediction Using Weather Data
- March 12, 2018 » Limitations of Macroscopic and Mesoscopic Simulation
- March 11, 2018 » Simulation Loop
- March 10, 2018 » Real-Time Data Processing with Apache Flink
- March 9, 2018 » Mesoscopic Simulation
- March 8, 2018 » Mesos Installation
- March 8, 2018 » Building Mesos
- March 7, 2018 » Traffic Prediction
- March 6, 2018 » Just Do It
- March 5, 2018 » An Introduction to Protobufs
- March 4, 2018 » Taking the I out of PaaS with Apache Mesos
- March 3, 2018 » Software Projects Built on Mesos
- March 2, 2018 » Distributed Deep Learning on Mesos
- March 2, 2018 » Apache Mesos and GPUs
- March 1, 2018 » Apache Mesos
February
- February 28, 2018 » Distributed Systems
- February 27, 2018 » High-Performance Mesoscopic Traffic Simulation
- February 26, 2018 » Microscopic Simulation
- February 25, 2018 » Macroscopic Simulation
- February 24, 2018 » Traffic Simulation Background
- February 23, 2018 » Pruning Makes Faster and Smaller Neural Networks
- February 22, 2018 » NIPS 2017 Proceedings
- February 21, 2018 » Distributed TensorFlow
- February 21, 2018 » Using Apache Arrow, Calcite and Parquet to build a Relational Cache
- February 20, 2018 » Data Vocalization
- February 19, 2018 » T tree
- February 18, 2018 » This Autonomous Robot Models Your House Interior
- February 17, 2018 » Reproducibility in Deep Reinforcement Learning
- February 16, 2018 » Google's Text Reader AI
- February 15, 2018 » Conferences 2018
- February 14, 2018 » What Will We Do With Quantum Computing?
- February 13, 2018 » Road Transport Systems
- February 12, 2018 » SLAC Dataset From MIT and Facebook
- February 12, 2018 » OSPRay
- February 11, 2018 » Streaming Through Caches
- February 10, 2018 » GPU Architectures and New Programming Model Features
- February 9, 2018 » Computer Architecture Essentials
- February 8, 2018 » DeepMind Control Suite
- February 7, 2018 » Cellular Automata
- February 6, 2018 » Data Mining Lecture Slides
- February 5, 2018 » What is Quantum Computing?
- February 5, 2018 » AI Research Trends
- February 4, 2018 » Data-Driven Mesoscopic Simulation Models
- February 3, 2018 » Introduction to Geometric Deep Learning
- February 2, 2018 » Geometric Deep Learning Paper and Code
- February 1, 2018 » Geometric Deep Learning
January
2017
December
November
September
July
May
- May 25, 2017 » Self-Illuminating Explosions
- May 16, 2017 » Multi-Agent Reinforcement Learning
- May 15, 2017 » Knowledge Based Artificial Intelligence Part 3 ~ 5
- May 15, 2017 » Introduction to Graph Thinking
- May 14, 2017 » Knowledge Based Artificial Intelligence Part 2
- May 13, 2017 » Knowledge Based Artificial Intelligence Part 1
- May 12, 2017 » Advanced Analytics with Spark
- May 11, 2017 » AI Learns to Synthesize Pictures of Animals
- May 10, 2017 » Latent Dirichlet Allocation Concept
- May 9, 2017 » Mining Massive Data Sets
- May 8, 2017 » An Efficient Scattering Material Representation
- May 7, 2017 » Leveraging Activation Sparsity for Training Deep Neural Networks
- May 6, 2017 » Computability, Complexity, and Theory - Georgia Tech
- May 5, 2017 » Deep Photo Style Transfer
- May 4, 2017 » Reinforcement Learning Course - Georgia Tech
- May 4, 2017 » Digital Transformation in a Connected World
- May 3, 2017 » What is Graph Analytics?
- May 2, 2017 » Gunrock - GPU Graph Analytics
- May 2, 2017 » Graphs in Machine Learning
- May 1, 2017 » AI Creates 3D Models From Faces
April
- April 30, 2017 » Social and Information Network Analysis
- April 29, 2017 » Structural Analysis and Visualization of Networks
- April 28, 2017 » Learning Local Geometric Descriptors from RGB-D Reconstructions
- April 28, 2017 » Machine Learning APIs by Example
- April 27, 2017 » Distributed Optimization via Alternating Direction Method of Multipliers
- April 26, 2017 » Learning and Adaptation
- April 25, 2017 » A modular GPU raytracer using OpenCL for non-interactive graphics
- April 24, 2017 » Semantic Scene Completion from a Single Depth Image
- April 24, 2017 » Latent Space Model for Road Networks to Predict Time-Varying Traffic
- April 23, 2017 » Reinforcement Learning
- April 23, 2017 » Deep Reinforcement Learning
- April 22, 2017 » Analysis and Prediction of Spatiotemporal Traffic Congestion
- April 21, 2017 » Reinforcement Learning Papers
- April 20, 2017 » Technological Singularity
- April 19, 2017 » 학교와 직장의 차이점
- April 18, 2017 » Three Applications of Deep Learning in Big Data Analytics
- April 17, 2017 » Optimization for Machine Learning
- April 16, 2017 » Unsupervised Representation Learning
- April 15, 2017 » Generalization and Equilibrium in Generative Adversarial Networks
- April 14, 2017 » How to train a GAN
- April 13, 2017 » Generative Adversarial Networks (GANs)
- April 12, 2017 » Real-Time Oil Painting on Mobile Hardware
- April 11, 2017 » Deep Advances in Generative Modeling
- April 11, 2017 » A Guide to Edge IoT Analytics
- April 10, 2017 » Edge Accelerated Web Platform
- April 9, 2017 » Edge Computing - IoT and Thinking Machine
- April 9, 2017 » Top AI and Machine Learning Conferences in 2017
- April 8, 2017 » Fog Computing vs. Edge Computing
- April 7, 2017 » Tell Me About Yourself - A Good Answer to This Interview Question
- April 7, 2017 » From Big to Now - The Changing Face of Data
- April 6, 2017 » Fast Data at Internet Scale with Amazon ElastiCache for Redis
- April 5, 2017 » Fast Data, Fast Monitoring
- April 4, 2017 » Geometric Detail Transfer
- April 4, 2017 » Generative Adversarial Networks - Part III
- April 3, 2017 » Generative Adversarial Networks - Part II
- April 2, 2017 » Image Editing with Generative Adversarial Networks
- April 2, 2017 » Generative Adversarial Networks - Part I
- April 2, 2017 » Can we build AI without losing control over it?
- April 1, 2017 » The Review Process for NIPS 2016
- April 1, 2017 » PhD Interview Questions
- April 1, 2017 » Guidelines for Writing a Good NIPS Paper
March
- March 31, 2017 » Graph Streams and Sketches
- March 31, 2017 » CNNs in Practice
- March 30, 2017 » Proceedings of The ICML 2016
- March 30, 2017 » Acceptance Ratio Statistics for Computational Intelligence Conferences
- March 29, 2017 » Machine Learning Papers in AAAI Conference 2017
- March 28, 2017 » Three things you need to know about machine learning
- March 28, 2017 » Artificial Intelligence 3.0 – Third Wave of AI
- March 27, 2017 » Wide & Deep Learning; Memorization + Generalization with TensorFlow
- March 27, 2017 » Keynote - TensorFlow Dev Summit 2017
- March 26, 2017 » Recent Results in Cloud Robotics
- March 25, 2017 » Cloud of Things Overview
- March 24, 2017 » Theory, Practice, and Standardization of Eye-tracking Technology
- March 24, 2017 » Google Developer Day Keynote
- March 23, 2017 » Understanding 3D Shapes With AI
- March 22, 2017 » Occam's Razor
- March 22, 2017 » Blockchain Explained
- March 21, 2017 » Massive Exploration of Neural Machine Translation Architectures
- March 21, 2017 » 5 Technology Trends in 2017 that Change Your Way of Living
- March 20, 2017 » The Evolution of Artificial Intelligence
- March 19, 2017 » Space-Time Video Completion
- March 18, 2017 » How Deep Neural Networks Work
- March 17, 2017 » Stable Neural Style Transfer
- March 16, 2017 » GPU accelerated population annealing algorithm
- March 15, 2017 » Learning Sound Representations from Unlabeled Video
- March 15, 2017 » How to Improve your Clarity of Thought
- March 14, 2017 » Modeling Human Communication Dynamics
- March 13, 2017 » Improving the Neural GPU Architecture for Algorithm Learning
- March 12, 2017 » How to Build an Intelligent Machine
- March 11, 2017 » Introduction to Deep Learning
- March 10, 2017 » Ten Data Acquisition Strategies for Startups
- March 9, 2017 » Automatic Creation of Sketch Tutorials
- March 8, 2017 » Deep Voice; Real-time Neural Text-to-Speech
- March 7, 2017 » Billion-scale similarity search with GPUs
- March 6, 2017 » AI Makes Stunning Photos From Your Drawings
- March 5, 2017 » Data, not algorithms, is key to machine learning success
- March 4, 2017 » The current state of machine intelligence 3.0
- March 3, 2017 » Optimizing Deep CNN-Based Queries over Video Streams at Scale
- March 2, 2017 » Gibbs Sampling-Probabilistic Graphical Models
- March 1, 2017 » Real-time Fiber-level Cloth Rendering
February
- February 28, 2017 » AI; The New Electricity
- February 27, 2017 » Large-Scale Stochastic Learning using GPUs
- February 26, 2017 » Shape and Material from Video
- February 25, 2017 » Artificial Intelligence
- February 24, 2017 » How to Prepare and Deliver a Great TED talk
- February 23, 2017 » Learning to Fill Holes in Images
- February 22, 2017 » Calendar of Computer Graphics Events
- February 21, 2017 » Proceedings of the VLDB Endowment
- February 20, 2017 » Journals and Conferences related to Artificial Intelligence
- February 19, 2017 » AI Builds 3D Models From Images With a Twist
- February 18, 2017 » Major Conferences and Journals about Machine Learning
- February 17, 2017 » Most Cited Deep Learning Papers
- February 16, 2017 » Data Preparation for Machine Learning
- February 15, 2017 » How to Prepare Data For Machine Learning
- February 14, 2017 » IoT, Azure, Machine Learning and more
- February 14, 2017 » How Do Hollywood Movies Render Smoke?
- February 13, 2017 » IBM Watson IoT Platform
- February 12, 2017 » Revisiting Reuse in Main Memory Database Systems
- February 11, 2017 » What's New with NewSQL?
- February 10, 2017 » Spark-GPU; An Accelerated In-Memory Data Processing Engine on Clusters
- February 9, 2017 » Fast Photorealistic Fur and Hair With Cone Tracing
- February 8, 2017 » Big Data and Smart Data
- February 7, 2017 » Deep Natural Language Processing
- February 6, 2017 » What is Artificial Intelligence?
- February 5, 2017 » Universe
- February 4, 2017 » Game AI Development with OpenAI Universe
- February 3, 2017 » Deep Reinforcement Learning - Pong from Pixels
- February 2, 2017 » GPU SQL Query Accelerator
- February 1, 2017 » Multi-core Parallelism in a Column-store
January
- January 31, 2017 » How Intelligent Machines Learn to Make Sense of the World
- January 30, 2017 » Enhance Super Resolution From Google
- January 27, 2017 » Large-Scale Fluid Simulations On Your Graphics Card
- January 26, 2017 » AI Makes 3D Models From Photos
- January 25, 2017 » Attention Transfer
- January 24, 2017 » Text Style Transfer
- January 23, 2017 » IBM Watson-The Power of Artificial Intelligence
- January 23, 2017 » Adaptive Machine Learning for Real-Time Streaming
- January 22, 2017 » AI and Deep Learning at Amazon
- January 21, 2017 » Datasets for Deep Learning
- January 20, 2017 » DataSets and Machine Learning
- January 19, 2017 » Open Data for Deep Learning
- January 18, 2017 » Deep Learning Program Hallucinates Videos
- January 17, 2017 » Reinforcement Learning
- January 16, 2017 » Deep Reinforcement Learning
- January 15, 2017 » Introduction to Deep Learning and Self-Driving Cars
- January 14, 2017 » Deep Learning Resources
- January 13, 2017 » Transfer Learning and Fine-tuning Deep Convolutional Neural Networks
- January 12, 2017 » Amazing Slow Motion Videos With Optical Flow
- January 11, 2017 » Machine Learning Algorithms
- January 10, 2017 » Gunrock
- January 9, 2017 » Neural Network Learns The Physics of Fluids and Smoke
- January 8, 2017 » Recurrent Neural Networks, Image Captioning, LSTM
- January 7, 2017 » The Unreasonable Effectiveness of Recurrent Neural Networks
- January 6, 2017 » Understanding LSTM Networks
- January 5, 2017 » Self-Driving Database Management Systems
- January 4, 2017 » Stunning Video Game Graphics With Voxel Cone Tracing
- January 3, 2017 » Papers that have used pbrt
- January 2, 2017 » Mathematical Methods for Robotics, Vision, and Graphics
- January 1, 2017 » Image Synthesis From Text With Deep Learning
2016
December
November
- November 30, 2016 » 3D Printing Acoustic Filters
- November 29, 2016 » Probabilistic Ranking Problem
- November 21, 2016 » Data Blocks; Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation
- November 20, 2016 » Human Pose Estimation with Deep Learning
- November 19, 2016 » WaveNet by Google DeepMind
- November 11, 2016 » SIGGRAPH 2016 Papers on the Web
- November 8, 2016 » PVLDB Papers
- November 7, 2016 » Progressive skyline computation in database systems
- November 3, 2016 » Proceedings of the VLDB Endowment, Volume 10
October
July
June
May
- May 31, 2016 » Deep Learning Reading List
- May 30, 2016 » Modeling Colliding and Merging Fluids
- May 29, 2016 » Convolutional Neural Networks for Visual Recognition
- May 28, 2016 » Surface-Only Liquids
- May 27, 2016 » Top 10 Strategic Technology Trends 2016
- May 26, 2016 » IELTS & TOEFL Writing - 5 Common Mistakes
- May 25, 2016 » How to read the genome and build a human being
- May 24, 2016 » The Art of Neural Networks
- May 24, 2016 » Multithreaded Python with OpenMP
- May 23, 2016 » Artistic Style Transfer For Videos
- May 22, 2016 » SIGGRAPH 2016 – Technical Papers Trailer
- May 21, 2016 » Deep Reinforcement Terrain Learning
- May 20, 2016 » Faster In Memory Computing with No Deadlocks
- May 19, 2016 » The Intel® Deep Learning Framework
- May 18, 2016 » Self-Taught Learning and Unsupervised Feature Learning
- May 17, 2016 » Compiling CUDA C/C++ with LLVM
- May 16, 2016 » Separable Subsurface Scattering
- May 15, 2016 » Deep Learning - Intelligence from Big Data
- May 13, 2016 » The Emergence of Converged Data Platforms and the Role of In Memory Computing
- May 12, 2016 » Real-Time Shading With Area Light Sources
- May 12, 2016 » Parallel Data Processing
- May 11, 2016 » Apache Ignite In-Memory Data Fabric
- May 10, 2016 » Smart Data Discovery
- May 9, 2016 » Creating an SPMD Vectorizer for OpenCL with LLVM
- May 8, 2016 » How DeepMind's AlphaGo Defeated Lee Sedol
- May 7, 2016 » The Next Step in GPU-Accelerated Deep Learning
- May 6, 2016 » Convolutional Neural Networks
- May 5, 2016 » Face2Face; Real-Time Facial Reenactment
- May 5, 2016 » Embree; High Performance Ray Tracing Kernels
- May 4, 2016 » Awesome Deep Learning
- May 3, 2016 » Training Deep Neural Networks With Dropout
- May 2, 2016 » Advanced Operating Systems
- May 1, 2016 » Machine Learning Courses
April
- April 30, 2016 » Deep Learning Terms
- April 29, 2016 » Narrow Band Liquid Simulations
- April 28, 2016 » Introduction to HDFS Erasure Coding in Apache Hadoop
- April 26, 2016 » 일상으로의 초대
- April 26, 2016 » Deep Learning for Database Performance Optimization
- April 25, 2016 » No Such Thing As Artificial Intelligence
- April 24, 2016 » Introduction to LLVM
- April 21, 2016 » Min-cost Flow Network Algorithms
- April 20, 2016 » Elasticity with YARN
- April 15, 2016 » Breakthrough Processor and System Design with SPARC M7
- April 14, 2016 » Thread Local Storage
- April 12, 2016 » Life Beyond Column-Stores - Exploiting intra-cycle parallelism
- April 7, 2016 » 아주 짧은 인생을 가치 있게 보내는 법
- April 7, 2016 » gpucc; an open-source GPGPU compiler
March
- March 24, 2016 » Knowledge Curation and Knowledge Fusion
- March 23, 2016 » OLTPBench
- March 22, 2016 » CrowdSky; Skyline Computation with Crowdsourcing
- March 21, 2016 » Photos @ EDBT 2016
- March 21, 2016 » 3D Depth From a Single Photograph
- March 20, 2016 » Automatic Source Transformation from C++ to CUDA using Clang/LLVM
- March 19, 2016 » Efficient Computation of Containment and Complementarity in RDF Data Cubess
- March 19, 2016 » Data Processing in Modern Hardware
- March 18, 2016 » Self-Curating Databases
- March 17, 2016 » Verification of Evolving Graph-structured Data under Expressive Path Constraints
- March 16, 2016 » Top-k Indexes Made Small and Sweet
- March 15, 2016 » Dynamic Graph Queries
- March 14, 2016 » Worst-Case Optimal Algorithms for Parallel Query Processing
- March 13, 2016 » Declarative Probabilistic Programming with Datalog
- March 12, 2016 » Lightning Fast Social Media Analytics
- March 11, 2016 » Research Papers in Computer Graphics
- March 10, 2016 » Statistics-Driven OLAP Acceleration using Query Column Sets
- March 9, 2016 » Readings in Physically Based Rendering
- March 8, 2016 » 9 Cool Deep Learning Applications
- March 7, 2016 » Concurrency Control and Recovery for Search Trees
- March 6, 2016 » Metropolis Light Transport
- March 5, 2016 » How DeepMind Conquered Go With Deep Learning
- March 4, 2016 » 자유가 없는 나라의 공부
- March 3, 2016 » Skip List
- March 2, 2016 » Transactional Memory in Practice
- March 1, 2016 » DB2 for z/OS Best Practice; Locks and Latches
- March 1, 2016 » Database Recovery - Basic Concepts
February
- February 29, 2016 » Latches
- February 28, 2016 » Apache Calcite Overview
- February 27, 2016 » A Better B-Tree in Hekaton
- February 26, 2016 » The Bw-Tree; A B-tree for New Hardware
- February 25, 2016 » Hekaton Research
- February 24, 2016 » Distributed Transactions
- February 23, 2016 » ACID Isolation Level
- February 22, 2016 » Notes About Memory Allocation Redesign
- February 21, 2016 » Postgres Modifications
- February 20, 2016 » The Databaseology Lectures
- February 19, 2016 » C++ Arena Allocation Guide
- February 18, 2016 » Region-based Memory Management
- February 18, 2016 » Redmine Plugin Installation
- February 18, 2016 » PostgreSQL
- February 17, 2016 » 그댄 행복에 살텐데
- February 17, 2016 » Zeppelin Tajo Interpreter
- February 17, 2016 » Data Visualization
- February 16, 2016 » What is VoltDB?
- February 16, 2016 » Release Notes - Tajo - Version 0.11.1
- February 16, 2016 » Peloton Architecture
- February 15, 2016 » Vagrant Tutorial
- February 15, 2016 » Introduction to Vagrant
- February 15, 2016 » Insert-Only Implementation Strategies
- February 14, 2016 » The 5 Leadership Styles
- February 13, 2016 » 등록금 0원
- February 12, 2016 » A Hands-free Adaptive Store
- February 11, 2016 » Emotional Intelligence
- February 10, 2016 » Studying in Germany
- February 10, 2016 » The Bw-Tree Key-Value Store
- February 9, 2016 » Bitmap Indices
- February 8, 2016 » IBM Cognos Analytics
- February 7, 2016 » 민물장어의 꿈
- February 6, 2016 » Understanding the SQL Server Columnstore Index
- February 5, 2016 » Main Memory Databases
- February 4, 2016 » Dictionary-based Order-preserving String Compression
- February 4, 2016 » Hekaton Breaks Through
- February 3, 2016 » The Merits of Data Compression
- February 3, 2016 » DBMS Components
- February 2, 2016 » Compensating Transaction
- February 1, 2016 » In-Memory Column Store Architecture Overview
January
- January 31, 2016 » Advantages & Disadvantages of an In-Memory Database
- January 30, 2016 » Latches, Spinlocks, and Lock Free Data Structures
- January 29, 2016 » Research Topics in Database Management
- January 28, 2016 » Main Memory DBMS
- January 27, 2016 » HYBRID WORKLOADS AND HTAP
- January 26, 2016 » Peloton
- January 25, 2016 » Database Systems Course
- January 24, 2016 » Readings in Parallel Computer Architecture
- January 23, 2016 » Lecture 0 - Course Description and Logistics
- January 22, 2016 » Parallel Computer Architecture Course
- January 21, 2016 » Gartner Top 10 Tech Trends for 2016
- January 20, 2016 » CES 2016 Keynote
- January 19, 2016 » MVCC Overview
- January 18, 2016 » SAP HANA
- January 17, 2016 » Work Breakdown Structure (WBS)
- January 16, 2016 » HYRISE
- January 15, 2016 » Main Compensation and Delta Compensation
- January 14, 2016 » Aggregate Cache
- January 13, 2016 » MonetDB Source compilation on OS X
- January 12, 2016 » SDN and Big Data
- January 11, 2016 » IEEE NetSoft 2016 Call for Demonstrations
- January 10, 2016 » Sparks of Genius
- January 9, 2016 » Connected Components in MapReduce and Beyond
- January 8, 2016 » Analytics in Motion (AIM)
- January 7, 2016 » Big Data is (at least) Four Different Problems
- January 6, 2016 » Papers in Parallel and Distributed Data Management
- January 5, 2016 » If today were the last day
- January 4, 2016 » Real-time Big Data Analytics
- January 3, 2016 » Wearable Technology Trends in 2016
- January 2, 2016 » Telling a Story
- January 1, 2016 » The Scope of a Paper
2015
December
- December 31, 2015 » Queries on Compressed RDDs
- December 30, 2015 » HiBench Suite
- December 29, 2015 » Map-D
- December 28, 2015 » Clang MapReduce
- December 27, 2015 » Rethinking the Role of CPUs in Modern Computers
- December 26, 2015 » MultiQx-GPU
- December 25, 2015 » Concurrent Analytical Query Processing with GPUs
- December 24, 2015 » Where are the GPU based SQL databases?
- December 23, 2015 » Comparing Relational Databases, Memory Cache, and NoSQL
- December 22, 2015 » Oracle In-Memory Database Cache Overview
- December 21, 2015 » MapGraph
- December 20, 2015 » Central Office Re-architected as a Datacenter (CORD)
- December 19, 2015 » Multiprocessor Synchronization
- December 18, 2015 » Software Engineering Principle 3
- December 17, 2015 » Software Engineering Principle 2
- December 16, 2015 » Software Engineering Principle 1
- December 15, 2015 » In-Memory Accelerator for Hadoop
- December 14, 2015 » Main Memory and Streaming Databases
- December 13, 2015 » Building Postgresql on OS X
- December 12, 2015 » Think Fast, Talk Smart
- December 11, 2015 » Unum Computing
- December 10, 2015 » Introducing TPCx-HS Benchmark for Big Data
- December 10, 2015 » Building LuxRender on OS X
- December 9, 2015 » Calendar of Computer Graphics Events
- December 8, 2015 » TPC-H
- December 8, 2015 » LaTeX Fonts on Mac OS X
- December 7, 2015 » Setting Up An Organized Folder Structure
- December 6, 2015 » TPC-DS
- December 5, 2015 » Proceedings of the VLDB Endowment, Volume 9
- December 4, 2015 » In-Memory Data Management Course
- December 3, 2015 » Research Posters 101
- December 2, 2015 » Machine Driven, Human Guided Data Curation for Decision Advantage and Action
- December 1, 2015 » A GPU Parallelized Database Accelerator
November
- November 30, 2015 » Twitter Analysis with Apache Spark and IBM Watson
- November 30, 2015 » Rethinking SQL for Big Data with Apache Drill
- November 30, 2015 » Organizational Charts
- November 29, 2015 » Databaseology Lectures
- November 28, 2015 » KIWI Installation
- November 27, 2015 » IntelliJ IDEA 15
- November 26, 2015 » Maven Support in IntelliJ IDEA
- November 25, 2015 » Zeppelin Deployment
- November 24, 2015 » Zeppelin Structure
- November 24, 2015 » The Pushdown of Everything
- November 23, 2015 » Steve Jobs' Last Words
- November 23, 2015 » 12 Habits of Extraordinarily Motivated People
- November 22, 2015 » Machine Learning as the Key to Personalized Curation
- November 21, 2015 » 22nd ACM SIGKDD Conference
- November 20, 2015 » What is Zeppelin Interpreter
- November 20, 2015 » Writing-up Qualitative Research
- November 19, 2015 » Zeppelin Installation
- November 18, 2015 » MySQL Installation on Ubuntu
- November 17, 2015 » PVLDB 2015 Vol. 9
- November 16, 2015 » Data Engineering Course
- November 15, 2015 » Apache Spark vs. MapReduce
- November 14, 2015 » Korean Constitution
- November 13, 2015 » Database Reading List
- November 12, 2015 » Big Data, Fast Data The Need for In Memory Database Technology
- November 11, 2015 » Arrary DBMS
- November 10, 2015 » Arrary Databases
- November 9, 2015 » Michael Stonebraker's Talk
- November 8, 2015 » Running Hadoop MapReduce on Tachyon
- November 8, 2015 » CUDA LLVM Compiler
- November 7, 2015 » Stanford Compilers Course
- November 6, 2015 » Extreme Scale Computing
- November 5, 2015 » Unit Test using specs
- November 4, 2015 » Scala to Java
- November 3, 2015 » Introduction to LLVM
- November 2, 2015 » MySQL Installation on Mac OS X
- November 1, 2015 » Computer Architecture Recommended Readings
October
- October 31, 2015 » Introduction to Computer Architecture
- October 30, 2015 » What is HTAP?
- October 29, 2015 » Bad Boys Blue Collection
- October 28, 2015 » A Taste of Random Decision Forests on Apache Spark
- October 27, 2015 » ADAM Project
- October 26, 2015 » Privacy as a Practice in Mobile App Development
- October 25, 2015 » Lambda Expression in C++
- October 24, 2015 » Spark - The Ultimate Scala Collections
- October 23, 2015 » BDAS Software Stack
- October 22, 2015 » Basic ONOS Tutorial
- October 21, 2015 » Spark Cluster Configuration
- October 20, 2015 » Legion Bootcamp
- October 19, 2015 » Sample Data
- October 18, 2015 » Building Tachyon Master Branch
- October 17, 2015 » Creating Applications using Spark Streaming
- October 16, 2015 » Creating a Spark Applications
- October 15, 2015 » Working with RDD Operations
- October 14, 2015 » How To Read A Paper
- October 13, 2015 » RAMCloud Presentations
- October 12, 2015 » Teaching creative computer science
- October 11, 2015 » Paper Writing Strategy
- October 10, 2015 » Paper Writing
- October 9, 2015 » BlinkDB Review
- October 8, 2015 » RAMCloud Training
- October 7, 2015 » Kudu - New Apache Hadoop Storage for Fast Analytics on Fast Data
- October 6, 2015 » GridGain In-Memory Data Fabric
- October 5, 2015 » Discardable Memory and Materialized Queries
- October 4, 2015 » 2014 ACM A.M. Turing Lecture
- October 3, 2015 » What is the Future of Hadoop?
- October 2, 2015 » Sparrow Paper Review
- October 1, 2015 » Spark Architecture Shuffle
September
- September 30, 2015 » Explore In-Memory Data Store Tachyon
- September 29, 2015 » Tachyon Overview
- September 28, 2015 » ACM TODS Manuscript Preparation
- September 27, 2015 » Perform SQL Selects on R Data Frames
- September 26, 2015 » R Graphics
- September 25, 2015 » Google's R Style Guide
- September 24, 2015 » Approximate Aggregation Queries in Presto
- September 24, 2015 » Off-heap Memory in Apache Flink and the curious JIT compiler
- September 24, 2015 » AMP Camp 6
- September 23, 2015 » Spark 1.5 DataFrame API Highlights
- September 22, 2015 » Fundamentals of Parallel Computing with the GPU
- September 21, 2015 » Text Mining and Knowledge Graphs in the Cloud
- September 20, 2015 » Knowledge Graph and Cognitive Computing
- September 19, 2015 » Using Presto to combine data from Hive and MySQL
- September 18, 2015 » IBM Watson at Work
- September 18, 2015 » Using HyPer with PostgreSQL Drivers
- September 17, 2015 » Knowledge Graph
- September 16, 2015 » Big Data and Machine Learning - Keys to AI Progress
- September 15, 2015 » 우리는 왜 우리가 되지 못하는가?
- September 14, 2015 » Distributed Computing Conferences
- September 13, 2015 » IEEE Transactions on Knowledge and Data Engineering
- September 12, 2015 » Project Tungsten
- September 11, 2015 » Advantages of Functional Programming
- September 10, 2015 » Building Good Docker Images
- September 9, 2015 » Optimizing Big Data Through Curation
- September 8, 2015 » SparkR Setting for RStudio
- September 7, 2015 » SparkR
- September 6, 2015 » Cognitive Computing
- September 5, 2015 » Spark Lab 3
- September 4, 2015 » Spark Lab 2
- September 3, 2015 » Diving into Spark Streaming's Execution Model
- September 2, 2015 » SAP S4 HANA Technical White Board
August
- August 31, 2015 » Using Electronic Health Records for Better Care
- August 26, 2015 » 6 Big Data Analytics Use Cases for Healthcare IT
- August 24, 2015 » Four Use Cases for Healthcare Predictive Analytics, Big Data
- August 22, 2015 » Five open source Big Data projects to watch
- August 21, 2015 » Reservoir Sampling in MapReduce
- August 20, 2015 » Clinical Data Repository Versus a Data Warehouse
- August 19, 2015 » Top 50 Data Science Resources
- August 18, 2015 » High-throughput, low-latency, and exactly-once stream processing with Apache Flink
- August 17, 2015 » Hyper
- August 16, 2015 » From Big Data to Fast Data
- August 15, 2015 » How Google Works
- August 14, 2015 » SAP Hana In-Memory Explained In Nine Minutes
- August 13, 2015 » Business unIntelligence
- August 12, 2015 » The Challenges of Data Science
- August 12, 2015 » How Data Science Driven Software is Eating the Connected World
- August 11, 2015 » Data Curation as Publishing for the Digital Humanities
- August 10, 2015 » How WellCare Accelerated Big Data Delivery to Improve Analytics
- August 9, 2015 » Sharing Experiences in Cloud Adoption
- August 8, 2015 » IBM Hybrid Transaction Analytic Processing HTAP
- August 7, 2015 » What is Hybrid Transaction/Analytical Processing (HTAP)?
- August 6, 2015 » CIOs and the Ongoing Data Persistence Struggle
- August 6, 2015 » Eight Big Trends in Big Data Analytics
- August 5, 2015 » Hybrid Trasansaction/Analytical Processing (HTAP)
- August 4, 2015 » Hybrid Trasansactional/Analytical Processing (HTAP)
- August 3, 2015 » HTAP and The Future of Data
- August 2, 2015 » Does ethical content curation exist? A data-driven answer
- August 1, 2015 » Stonebraker points to data curation as next integration step
July
- July 31, 2015 » Three Approaches to Scalable Data Curation
- July 30, 2015 » Summarizing
- July 29, 2015 » The Landscape of Big Data, Curation
- July 28, 2015 » Data Curation
- July 27, 2015 » Tackling Data Curation
- July 20, 2015 » OpenMOLE
- July 18, 2015 » Advanced Vector Extension
- July 17, 2015 » How to Write a Good Paper
- July 16, 2015 » Potential Novel Applications of Open SDN
- July 16, 2015 » Hybrid Unified Communications and Collaboration
- July 15, 2015 » What is Visual Thinking?
- July 15, 2015 » Mega-KV, A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores
- July 14, 2015 » Ordeal
- July 14, 2015 » Hype Cycle
- July 13, 2015 » Einstein and Buddhism
- July 12, 2015 » SDN Note
- July 11, 2015 » My Top 10 Assertions about Data Warehouses
- July 10, 2015 » RAMCloud Overview
- July 9, 2015 » RAMCloud
- July 9, 2015 » Open Network Operating System
- July 8, 2015 » The Virginian Database
- July 8, 2015 » Function Composition
- July 7, 2015 » Scala Collection
- July 7, 2015 » The Analytical Bootstrap
- July 6, 2015 » CV vs. Resume
- July 5, 2015 » DAQ Introduction
- July 4, 2015 » A New Paradigm for Approximate Query Processing
- July 3, 2015 » You've got to find what you love
- July 2, 2015 » What You're Really Meant to Do
- July 2, 2015 » Understanding the Differences between SDN and Server Virtualization
- July 1, 2015 » Logotherapy
June
- June 30, 2015 » Future of big data analytics
- June 29, 2015 » Five most popular similarity measures implementation in python
- June 28, 2015 » Today
- June 27, 2015 » Mathematical Universe?
- June 27, 2015 » Massive Throughput Database Queries with LLVM on GPUs
- June 26, 2015 » The Power of Inquiry to Spark Breakthrough Ideas
- June 25, 2015 » A More Beautiful Question
- June 24, 2015 » Open Daylight Technical Overview
- June 24, 2015 » Categorical Imperative
- June 23, 2015 » Hadoop + GPU Architecture
- June 23, 2015 » Ballad Music Collection
- June 23, 2015 » Overview of the Apache Flink
- June 22, 2015 » Apache Flink Seminar
- June 21, 2015 » Discussion
- June 20, 2015 » The School of Athens
- June 19, 2015 » Lambda Architecture
- June 19, 2015 » Apache MRQL Installation Instructions
- June 18, 2015 » Common Misconceptions about SQL on Hadoop
- June 18, 2015 » Apache MRQL
- June 17, 2015 » Common Lisp using LLVM and C++ for Molecular Metaprogramming
- June 17, 2015 » Big Data Challenges and Opportunities
- June 16, 2015 » MapD (Massively Parallel Database) Overview
- June 15, 2015 » Data Science using GPUs
- June 15, 2015 » Apache Drill Introduction
- June 14, 2015 » IBM Juices Hadoop With Java On Tesla GPUs
- June 13, 2015 » Apache Tajo Internal
- June 13, 2015 » Broadcast Join in Tajo
- June 12, 2015 » Tajo Cluster Architecture
- June 12, 2015 » Apache Hadoop vs. IBM Platform Symphony and Infosphere BigInsights
- June 12, 2015 » Darwin Day 2015 Questions
- June 11, 2015 » How HPC is Hacking Hadoop
- June 11, 2015 » High-Performance Computing Cluster
- June 10, 2015 » Zeppelin Tutorial
- June 10, 2015 » Teradata Bets Big on Presto for Hadoop SQL
- June 9, 2015 » Introduction to Data Science with Apache Spark
- June 8, 2015 » How to Read a Technical Paper
- June 7, 2015 » The Internet of Things Transforms Transactions with Apache Spark
- June 6, 2015 » Improving Spark for Data Pipelines with Native YARN Integration
- June 6, 2015 » BlinkDB User Guide
- June 5, 2015 » Rethinking SIMD Vectorization for In-Memory Databases
- June 5, 2015 » Introduction to Docker
- June 4, 2015 » Scala idiom - Prefer immutable data structures
- June 3, 2015 » Scala - Tools and Frameworks
- June 3, 2015 » Scala - Pattern Matching
- June 3, 2015 » Scala - Functional/Collection
- June 2, 2015 » Why Scala?
- June 2, 2015 » Introduction to Scala
- June 2, 2015 » Scala - Object Oriented Features
- June 2, 2015 » Scala Installation
- June 2, 2015 » Scala Basics
- June 1, 2015 » Totally Lazy
- June 1, 2015 » A SQL Query Compiler
May
- May 31, 2015 » SIGMOD 2015 Papers
- May 30, 2015 » Recent performance improvements in Apache Spark
- May 29, 2015 » Bringing Spark Closer to Bare Metal
- May 28, 2015 » Best SQL-on-hadoop Tool
- May 27, 2015 » A well-planned kickoff meeting sets the tone for a successful project
- May 26, 2015 » SBT (Simple Build Tool)
- May 26, 2015 » Seven Key Elements for a Successful Kickoff Meeting Agenda
- May 25, 2015 » Data Exploration Using BlinkDB
- May 24, 2015 » Programming With SampleClean
- May 23, 2015 » SampleClean
- May 23, 2015 » Running BlinkDB Locally
- May 22, 2015 » Cornell Notes
- May 21, 2015 » SIGGRAPH 2015 papers on the web
- May 21, 2015 » Large Graph-Mining - Power Tools and a Practitioner's Guide
- May 20, 2015 » Hadoop-RDMA
- May 19, 2015 » SIGGRAPH 2015 - Technical Papers Trailer
- May 18, 2015 » Apache Spark - Caching and Checkpointing Under the Hood
- May 16, 2015 » Tensor Decomposition
- May 15, 2015 » Higher-order Singular Value Decomposition
- May 14, 2015 » Smoothed Analysis of Tensor Decompositions
- May 12, 2015 » Spark for Unconventional Cores
- May 12, 2015 » Aparapi for Unconventional Cores
- May 11, 2015 » Writing An Author Bio
- May 10, 2015 » Apache Phoenix
- May 9, 2015 » Immutability
- May 8, 2015 » Parallelism
- May 7, 2015 » Column Orientation
- May 6, 2015 » Composing and Scaling Data Platforms
- May 6, 2015 » Dependency Injection
- May 5, 2015 » Elements of Scale
- May 4, 2015 » What is Mesos?
- May 3, 2015 » Data Governance Initiative
- May 2, 2015 » Requirements for Cluster Analysis
- May 1, 2015 » What is Cluster Analysis?
April
- April 30, 2015 » Cluster Analysis
- April 29, 2015 » FAQ for the REEF
- April 28, 2015 » Introduction to BlinkDB
- April 27, 2015 » Introduction to REEF
- April 26, 2015 » Readings in Data Management
- April 25, 2015 » Spark with Python Notebook on Mac
- April 25, 2015 » MapReduce for C - Run Native Code in Hadoop
- April 24, 2015 » Spark Notebook
- April 24, 2015 » Spark-GPU Cluster Development in a Notebook
- April 23, 2015 » 5 Ways to Make Your Hive Queries Run Faster
- April 23, 2015 » 39 Data Visualization Tools for Big Data
- April 22, 2015 » How to Write a Paper Efficiently
- April 22, 2015 » HIVE 0.14 Cost Based Optimizer (CBO) Technical Overview
- April 21, 2015 » Setup a JavaCL Maven Project
- April 20, 2015 » Deep Dive into Spark SQL’s Catalyst Optimizer
- April 19, 2015 » GNUPlot Basics
- April 19, 2015 » Introducing DataFrames in Spark for Large Scale Data Science
- April 18, 2015 » Twitter Scalding
- April 17, 2015 » Apache Zeppelin
- April 16, 2015 » Transaction Processing on Confidential Data using Cipherbase
- April 15, 2015 » Introduction to the Spark
- April 14, 2015 » Big Spatial Data Processing using Spark
- April 13, 2015 » SpatialSpark
- April 12, 2015 » New Directions for Spark in 2015
- April 11, 2015 » The Spark SQL Optimizer and External Data Sources API
- April 10, 2015 » How to Prepare for Your Performance Review Meeting
- April 9, 2015 » DataFrame and SQL Operations
- April 8, 2015 » Design Patterns for using foreachRDD
- April 7, 2015 » Output Operations on DStreams
- April 6, 2015 » Transformations on DStreams
- April 5, 2015 » DStream Sources
- April 4, 2015 » Discretized Streams
- April 3, 2015 » Spark Streaming Basic Concepts
- April 2, 2015 » Spark Streaming Quick Example
- April 1, 2015 » Spark Streaming Overview
March
February
January
- January 27, 2015 » Analytic Processing Environment (APE)
- January 26, 2015 » Analytics vs. OLTP
- January 23, 2015 » Layers of Query Processing
- January 22, 2015 » Database Workloads
- January 21, 2015 » Workload Types
- January 20, 2015 » Detailed Characteristics of an Analytic Workload
- January 19, 2015 » Characteristics of an Analytic Workload
- January 13, 2015 » Workload Management for Big Data Analytics
- January 12, 2015 » 11 Core Big Data Workload Design Patterns
- January 5, 2015 » SDN과 NFV와 네트워크 가상화의 차이점 이해하기
2014
December
November
October
September
August
- August 30, 2014 » Data-based parallelism
- August 29, 2014 » How to fix “System program problem detected” error on Ubuntu
- August 29, 2014 » Task-based parallelism
- August 28, 2014 » Concurrency
- August 27, 2014 » Serial/Parallel Problems
- August 26, 2014 » Multinode Computing
- August 25, 2014 » Hadoop-GIS Spatial Queries
- August 13, 2014 » Running a cluster of virtual machines with Hadoop
- August 13, 2014 » Research skills
- August 12, 2014 » Database Management Systems
- August 11, 2014 » Readings in Database Systems
- August 10, 2014 » SIX sparkling features of Apache Spark!
- August 9, 2014 » Query Optimization Bibliography
- August 9, 2014 » Use Parquet with Impala, Hive, Pig, and MapReduce
- August 8, 2014 » Actian Unleashes SQL Users on Hadoop with Easy Access, Faster Performance
- August 7, 2014 » Presto as a Service
- August 7, 2014 » HIVE as a Service
- August 6, 2014 » Understanding the world of SQL on Hadoop.
- August 5, 2014 » How to Develop Hadoop Tests
- August 4, 2014 » MRUnit Tutorial
- August 3, 2014 » Serialization
- August 3, 2014 » Keep Your Crises Small
- August 3, 2014 » Creativity, Inc. Interview
- August 2, 2014 » HIVE TPC-DS Benchmark
- August 2, 2014 » SIGGRAPH 2014 Technical Papers
- August 2, 2014 » Distributed Computing with Spark
- August 1, 2014 » PostgreSQL
July
- July 31, 2014 » Advantages and Drawbacks of Using Stored Procedures for Processing Data
- July 30, 2014 » Why Oracle Big Data SQL Potentially Solves a Big Issue with Hadoop Security
- July 29, 2014 » Samsung Developer Day 2014 at MWC - Samsung MultiScreen SDK
- July 28, 2014 » Apache Tez Presentation
- July 27, 2014 » Announcing Apache Pig 0.13.0
- July 26, 2014 » Benchmarking Apache Hive 13 for Enterprise Hadoop
- July 25, 2014 » In-Stream Big Data Processing
- July 24, 2014 » Apache Hadoop YARN ResourceManager
- July 23, 2014 » Introduction To Pivotal's Next Generation Analytic Data Lake
- July 23, 2014 » War of the Hadoop SQL engines. And the winner is …?
- July 22, 2014 » Exploring Pivotal HD Single Node (VM)
- July 21, 2014 » How Pivotal Works
- July 20, 2014 » Parquet - Columnar Storage for the People
- July 19, 2014 » Pivotal Big Data Suite
- July 18, 2014 » Pivotal HD Introduction & Demo
- July 17, 2014 » Special "Use Cases" Big Data & Brews - Hortonworks, Pivotal, MapR
- July 16, 2014 » What is Apache Drill?
- July 15, 2014 » Drilling into Big Data with Apache Drill
- July 14, 2014 » Fun with TPC-H (Part 1)
- July 13, 2014 » Implementing Drill Math Functions
- July 12, 2014 » Presto By Facebook – A SQL Engine
- July 11, 2014 » Big Data - The Hadoop Data Warehouse
- July 10, 2014 » Building a Data Warehouse with Hadoop
- July 9, 2014 » Why does MapReduce + GPU Computing?
- July 8, 2014 » Why NoSQL?
- July 7, 2014 » Apache Spark Documentation
- July 6, 2014 » SIGGRAPH 2014 Papers
- July 5, 2014 » Google Cloud Dataflow, a Cloud-native data processing service
- July 4, 2014 » Datawarehouse
- July 3, 2014 » Selecting the right SQL-on-Hadoop engine to access big data
- July 2, 2014 » Big Data Benchmark
- July 1, 2014 » Apache Spark
June
- June 30, 2014 » Optiq
- June 30, 2014 » Adding Acid Transactions in Hive
- June 29, 2014 » Yarn The Key to Overcoming the Challenges of Broad based Hadoop Adoption
- June 28, 2014 » Challenges of Implementing an Advanced SQL Engine on Hadoop
- June 27, 2014 » SparkR Enabling Interactive Data Science at Scale on Hadoop
- June 26, 2014 » Hbase Read High Availability Using Eventually Consistent Region Replicas
- June 25, 2014 » How Hadoop and Hive Change the Data Warehousing Game Forever
- June 24, 2014 » Big Data Management System Smart SQL Processing
- June 23, 2014 » Query Optimization Techniques and JIT based Vectorized Engine
- June 22, 2014 » Pig on Tez - Low Latency ETL with Big Data
- June 21, 2014 » Cost Based Query Optimization in Hive
- June 20, 2014 » Low Latency SQL on Hadoop
- June 19, 2014 » Building a Unified Data Pipeline in Apache Spark
- June 18, 2014 » Big Data Architecture
- June 17, 2014 » Comparing Information Architecture Operational Paradigms
- June 17, 2014 » Big Data Architecture Capabilities
- June 16, 2014 » Grid Architecture and Service Modeling
- June 15, 2014 » How to prepare for SDN
- June 14, 2014 » Features of Cloud and Grid Platforms
- June 13, 2014 » What is SQL-on-Hadoop?
- June 13, 2014 » Apache Storm Basics
- June 12, 2014 » What does “100 times faster than Hive” actually mean?
- June 12, 2014 » GraphX Programming Guide
- June 11, 2014 » TPC Benchmark
- June 11, 2014 » M7 - Native Storage for MapR Tables
- June 11, 2014 » Hadoop 2.4.0 Installation on Mac OS X Mavericks
- June 10, 2014 » Software-Defined Networks
- June 10, 2014 » Future of the Network Documentary
- June 9, 2014 » A Leap Forward With SQL on Hadoop
- June 8, 2014 » Zero-Copy
- June 8, 2014 » Remote Direct Memory Access
- June 7, 2014 » Special "How it Works" Big Data & Brews
- June 7, 2014 » Choosing distribution models
- June 6, 2014 » GPU Programming for the Data Sciences
- June 6, 2014 » 10 undeniable reasons people hate Big Data
- June 5, 2014 » Steve Jobs - One Last Thing
- June 5, 2014 » Physically Based Shading in Theory and Practice
- June 4, 2014 » The Forgotten History Of CGI
- June 3, 2014 » Hadoop Sector will Have Annual Growth of 58% for 2013-2020
- June 2, 2014 » Why Impala Continues to Lead?
- June 1, 2014 » Apache Spark Resource Management and YARN App Models
May
- May 31, 2014 » Camino and Hope
- May 30, 2014 » Camino, Dream and Choice
- May 29, 2014 » Creativity in Business
- May 28, 2014 » Measures of Query Cost
- May 27, 2014 » Query Processing
- May 26, 2014 » Query Transformation
- May 25, 2014 » Database Conferences
- May 24, 2014 » Query Optimizer
- May 23, 2014 » Unit Test
- May 23, 2014 » A Thousand Dreams of You
- May 22, 2014 » Research Topics in Database Systems
- May 21, 2014 » Statistics, Data Mining, Machine Learning and Artificial Intelligence
- May 21, 2014 » ACID Properties of Transactions
- May 20, 2014 » Such a Man
- May 20, 2014 » GTC On-Demand
- May 20, 2014 » Google Spanner
- May 19, 2014 » Open Source Analysis Tips
- May 19, 2014 » Functional Specifications
- May 19, 2014 » Column-Family Stores
- May 18, 2014 » Key-Value and Document Data Models
- May 17, 2014 » Introduction to Distributed Database Management Systems
- May 16, 2014 » Development Tools for Big Data
- May 15, 2014 » Introduction to Data Warehousing
- May 15, 2014 » Apache Tajo JDBC Driver
- May 14, 2014 » Date's Twelve Rules for a DDBMS
- May 14, 2014 » Apache Tajo HCatalog Integration
- May 13, 2014 » Spark for Data Science; A Case Study
- May 13, 2014 » Intel® Xeon Phi™ Coprocessor - the Architecture
- May 13, 2014 » Apache Tajo Backup and Restore
- May 12, 2014 » Apache Tajo Table Partitioning
- May 12, 2014 » An Insight into Hadoop Yarn Resource Manager
- May 11, 2014 » Regression Analysis
- May 11, 2014 » Apache Tajo SequenceFile
- May 11, 2014 » 5 technologies that will help big data cross the chasm
- May 10, 2014 » Apache Tajo Parquet
- May 9, 2014 » How Apache Hadoop YARN HA Works
- May 9, 2014 » Apache Tajo RCFile
- May 8, 2014 » Apache Tajo Table Management
- May 8, 2014 » Apache Tajo CSV (TextFile)
- May 7, 2014 » Papers to Read
- May 7, 2014 » Burndown Chart
- May 7, 2014 » Apache Tajo Functions
- May 6, 2014 » Apache Tajo SQL Language
- May 5, 2014 » Apache Tajo Shell
- May 4, 2014 » Apache Tajo™ 0.8.0 Configuration
- May 3, 2014 » Apache Tajo™ 0.8.0 Released!
- May 3, 2014 » Apache Tajo™ 0.8.0 Documentation
- May 2, 2014 » The Stinger Initiative From HortonWorks With Hadoop
- May 1, 2014 » GPU Cluster
- May 1, 2014 » Bigtable
April
- April 30, 2014 » The Selfish Gene
- April 30, 2014 » GPU Accelerated Computing with C and C++
- April 30, 2014 » Chubby
- April 30, 2014 » Big Data & Brews - Ari Zilka, CTO of Hortonworks' Talk
- April 29, 2014 » The Google File System (GFS)
- April 29, 2014 » Stinger Intiative - Making Apache Hive 100 Times Faster
- April 29, 2014 » Stinger - Interactive Query for Hive
- April 29, 2014 » PageRank Algorithm
- April 29, 2014 » Overview of Data Storage and Coordination Services
- April 28, 2014 » Simple YARN Application
- April 28, 2014 » Underlying Communication Paradigms
- April 28, 2014 » PageRank History
- April 28, 2014 » Overall Architecture and Design Philosophy
- April 27, 2014 » Comparing Apache Tez and Microsoft Dryad
- April 27, 2014 » Apache Spark and Apache Tez
- April 26, 2014 » Introducing the case study - Google
- April 26, 2014 » Integration Tajo with Hive
- April 25, 2014 » Choosing the Right SQL-on-Hadoop
- April 24, 2014 » How to Run a Simple Apache Spark App in CDH 5
- April 23, 2014 » Resource Management Fundamentals
- April 22, 2014 » NewSQL Vs. SQL on Hadoop
- April 22, 2014 » Deep Learning
- April 21, 2014 » Presto as a Service
- April 20, 2014 » Apache Hadoop YARN – Related Work
- April 19, 2014 » Advanced and Distributed Operating Systems
- April 18, 2014 » 10 Usability Heuristics for User Interface Design
- April 17, 2014 » Folder Management
- April 16, 2014 » Adding ACID to Apache Hive
- April 15, 2014 » Eight SQL on Hadoop Challenges
- April 15, 2014 » Computer Science @ University of Cambridge
- April 15, 2014 » 11 SQL-on-Hadoop Tools
- April 14, 2014 » Healthcare Does Hadoop
- April 14, 2014 » Bloom Filter
- April 13, 2014 » Processing streaming data in Hadoop with Apache Storm
- April 12, 2014 » Interactive Query for Hadoop with Apache Hive on Apache Tez
- April 12, 2014 » Introducing Apache Tez 0.4
- April 11, 2014 » How to Share a Bread Evenly
- April 10, 2014 » Big Data Genomics Sequencing
- April 9, 2014 » 24 Live Another Day
- April 9, 2014 » Using Gitlab on Mac OS X
- April 8, 2014 » Gitlab Installation on Mac OS X
- April 7, 2014 » Failures in YARN
- April 7, 2014 » Failures in Classic MapReduce
- April 6, 2014 » YARN Framework and Fault Tolerance
- April 5, 2014 » Smart Things vs. Many Experienced Things
- April 4, 2014 » Apache Hadoop YARN – Node Manager (NM)
- April 3, 2014 » Hardening Hadoop for Healthcare with Project Rhino
- April 3, 2014 » Apache Tajo
- April 3, 2014 » Build Instructions for Apache Tajo
- April 2, 2014 » Apache Hadoop YARN – Application Master (AM)
- April 2, 2014 » Apache Hadoop in 2013 - The State of the Platform
- April 1, 2014 » Grid Computing
- April 1, 2014 » Design Objectives of Computer Clusters
- April 1, 2014 » Clustering for Massive Parallelism
March
- March 31, 2014 » Apache Hadoop YARN – Architecture Overview
- March 31, 2014 » Apache Hadoop YARN – Resource Manager (RM)
- March 30, 2014 » Apache Hadoop YARN – History and Rationale, Shared Clusters
- March 30, 2014 » Functional Programming
- March 29, 2014 » Why Functional Programming?
- March 29, 2014 » Parallel Computing
- March 28, 2014 » Navier-Stokes Equations
- March 28, 2014 » Implementing Graph-Based Applications
- March 28, 2014 » Designing Graph-Based Applications
- March 27, 2014 » Depth of Knowledge
- March 27, 2014 » Data-intensive Computing
- March 26, 2014 » Mapping and Folding and the Map-Reduce Paradigm
- March 26, 2014 » Codd's 12 Rules
- March 25, 2014 » OLAP vs. OLTP
- March 25, 2014 » Network Topology and Hadoop
- March 25, 2014 » Comparison - Ad-hoc vs Stored Procedure vs Dynamic SQL
- March 24, 2014 » Ensuring the Validity, Veracity, and Volatility of Big Data
- March 24, 2014 » Steve Jobs at SIGGRAPH 1995
- March 24, 2014 » Operationalizing Big Data
- March 24, 2014 » Modern Oil & Gas Architectures Built with Hadoop
- March 23, 2014 » Using Avro in MapReduce Jobs with Pig
- March 23, 2014 » Using Avro in MapReduce Jobs with Java
- March 23, 2014 » Using Avro in MapReduce Jobs with Hive
- March 23, 2014 » Using Avro in MapReduce Jobs with Hadoop Streaming
- March 23, 2014 » MapReduce and Hadoop Papers in the VLDB
- March 23, 2014 » NoSQL Databases
- March 23, 2014 » MapReduce and Hadoop Algorithmic in Academic Papers
- March 22, 2014 » Visualization for Data-Intensive Science
- March 22, 2014 » Theory of Everything
- March 22, 2014 » Stanford Network Analysis Platform(SNAP)
- March 22, 2014 » Gray’s Laws Database-centric Computing in Science
- March 22, 2014 » Connecting to the Scientists
- March 21, 2014 » Big Data Dilemma
- March 21, 2014 » Conduct Research Survey
- March 20, 2014 » Polyglot Persistence
- March 20, 2014 » Functional versus Procedural Programming Models
- March 19, 2014 » The Data Science Process
- March 18, 2014 » Statistical Thinking in the Age of Big Data
- March 18, 2014 » Populations and Samples
- March 17, 2014 » Thought Experiment - Meta-Definition
- March 16, 2014 » A Data Science Profile
- March 15, 2014 » The Role of the Social Scientist in Data Science
- March 15, 2014 » What is Data Science? - The Current Landscape
- March 15, 2014 » Community Detection - Clustering Coefficient
- March 14, 2014 » What is Data Science?
- March 13, 2014 » Stream Data Processing for Performance Evaluation of the Equipment in an Offshore Plant
- March 12, 2014 » Hive on Tez
- March 12, 2014 » Functional Requirements of Hive on Tez Phase I
- March 12, 2014 » Query Planning of Hive on Tez
- March 12, 2014 » Design of Hive on Tez
- March 11, 2014 » Apache Tez 0.3 Released!
- March 10, 2014 » Macport Commands Summary
- March 8, 2014 » Predictive Methodologies - Analysis of Time and Space
- March 8, 2014 » Predictive Methodologies - Analysis of Space
- March 8, 2014 » Predictive Methodologies - Analysis of Social Networks
- March 7, 2014 » Theoretical Foundations of Data Mining and Predictive Analytics
- March 7, 2014 » Data Used in Predictive Policing
- March 6, 2014 » Operational Challenges of Predictive Policing
- March 6, 2014 » Forecast Vs. Prediction
- March 5, 2014 » Wiki Tutorial
- March 5, 2014 » Recommendations
- March 5, 2014 » Predictive Policing Myths and Pitfalls
- March 5, 2014 » Prediction-Led Policing Process and Prevention Methods
- March 5, 2014 » Facebook Presto
- March 5, 2014 » Apache Drill
- March 4, 2014 » Predictive Policing
- March 4, 2014 » A Taxonomy of Predictive Methods
- March 3, 2014 » Apache Hadoop YARN – History and Rationale
- March 3, 2014 » “Big Data” Promises a Revolution
- March 2, 2014 » As MapReduce fades, Apache Spark is now a top-level project
- March 1, 2014 » Apache Hadoop YARN – ResourceManager
- March 1, 2014 » Apache Hadoop YARN – Yet Another Resource Negotiator
- March 1, 2014 » Apache Hadoop YARN – NodeManager
February
- February 28, 2014 » Apache Hadoop YARN – Concepts and Applications
- February 28, 2014 » Apache Hadoop YARN – Background and Overview
- February 28, 2014 » Papers about MapReduce
- February 28, 2014 » Introducing Apache Hadoop YARN
- February 27, 2014 » T-Shaped Data Scientists
- February 27, 2014 » Chest aching Story
- February 26, 2014 » Adapting to Change
- February 25, 2014 » Agile Big Data
- February 24, 2014 » Scales of Big Data
- February 23, 2014 » The Variety of Data Scientists
- February 22, 2014 » The Real-Time Big Data Architecture (RTDBA) Stack
- February 22, 2014 » The Five Phases of Real Time
- February 22, 2014 » Case Studies of Analyzing Data
- February 21, 2014 » Like a star
- February 21, 2014 » FINDING INFORMATION ON THE WEB
- February 21, 2014 » Data Science, Engineering, and Data-Driven Decision Making
- February 21, 2014 » Clustering Data Scientists
- February 21, 2014 » Advanced Metasearch Engine Technology
- February 20, 2014 » PredictionIO
- February 18, 2014 » TDD Best practices
- February 17, 2014 » A Material Point Method For Snow Simulation
- February 17, 2014 » Test-Driven Development in a nutshell
- February 16, 2014 » Reflections on Image-Based Modeling and Rendering
- February 15, 2014 » Key Points from NoSQL Distilled
- February 11, 2014 » Scrum Events
- February 11, 2014 » Multi-tenant Database Systems
- February 11, 2014 » Big Data in Motion
- February 10, 2014 » Tez Design - Introduction
- February 10, 2014 » Introduction to the Maven
- February 9, 2014 » Building a Hybrid Modern Data Architecture for Apache Hadoop
- February 8, 2014 » Let it go
- February 7, 2014 » Continuous Quries Languages
- February 6, 2014 » Semantics of Relations in Continuous Queries
- February 5, 2014 » Randy Pausch Last Lecture, Achieving Your Childhood Dreams
- February 5, 2014 » Continuous Quries as Views
- February 4, 2014 » Native C/C++ Like Performance For Java Object Serialization
- February 4, 2014 » Building the Health Information Infrastructure for the Modern ePatient
- February 3, 2014 » Using ByteBuffer in Java
- February 3, 2014 » Sunflower
- February 2, 2014 » Solving the Wanamaker Problem for Healthcare
January
- January 28, 2014 » Continuous Query Semantics and Operators (Part II)
- January 28, 2014 » Effective Team Membership
- January 27, 2014 » Stream Windows
- January 27, 2014 » Continuous Query Semantics and Operators (Part I)
- January 27, 2014 » Parallel R
- January 26, 2014 » Writing Input And Output Adapters
- January 26, 2014 » Stream Models
- January 25, 2014 » Understanding the Types of Big Data Problems
- January 25, 2014 » Understanding Human Dynamics
- January 25, 2014 » A Flying Butterfly
- January 22, 2014 » Esper Relational Database Adapter
- January 21, 2014 » Event Rendering to XML and JSON
- January 21, 2014 » Esper Socket Adapter
- January 21, 2014 » Esper Adapter Concept
- January 20, 2014 » Confluent and Functional Persistence
- January 19, 2014 » Full Persistence
- January 18, 2014 » Partial Persistence
- January 17, 2014 » Persistent Data Structures
- January 16, 2014 » Writing a Tez Input, Processor and Output
- January 16, 2014 » Synchronization among Heterogeneous Distributed Objects
- January 16, 2014 » Runtime API in Apache Tez
- January 16, 2014 » Re-Using Containers in Apache Tez
- January 16, 2014 » Introducing Tez Sessions
- January 16, 2014 » Data Processing API in Apache Tez
- January 16, 2014 » Apache Tez Dynamic Graph Reconfiguration
- January 15, 2014 » Apache Tez A New Chapter in Hadoop Data Processing
- January 14, 2014 » Introduction to the Tez
- January 14, 2014 » How to write a good research paper
- January 13, 2014 » Principal Component Analysis
- January 12, 2014 » Data Stream Management
- January 11, 2014 » Scatter plots in Python
- January 11, 2014 » Generating random numbers and plots in Python
- January 11, 2014 » Physical Properties and selection of thermodynamic models
- January 11, 2014 » JUnit, A Tool for Test-Driven Development
- January 11, 2014 » Syntax highlighting tools for github page
- January 11, 2014 » Boxplots comparing two different populations in Python
- January 10, 2014 » Centrifugal Compressor Efficiency - Part 4
- January 10, 2014 » Centrifugal Compressor Efficiency - Part 3
- January 10, 2014 » Centrifugal Compressor Efficiency - Part 2
- January 10, 2014 » Centrifugal Compressor Efficiency - Part 1
- January 9, 2014 » In-Memory Caches
- January 9, 2014 » Pattern Matching Techniques
- January 8, 2014 » Sequence Diagram
- January 5, 2014 » Computational Thinking
- January 4, 2014 » Introduction to Transactional Memory
- January 4, 2014 » Monte-Carlo Methods An Introduction
- January 4, 2014 » Impressionist Tutorial
- January 4, 2014 » Introduction to Impress.js
- January 3, 2014 » PRODML Data Schema and API Specifications
- January 3, 2014 » The Invention of Stream Computing
- January 3, 2014 » Real-time Operational Intelligence
- January 3, 2014 » JAXB Class Generation From XML Schema File using JAXB Tool
- January 3, 2014 » Explaining Agile
- January 2, 2014 » Introduction to Esper for Java
- January 2, 2014 » The Emergence of NoSQL
2013
December
- December 27, 2013 » My Scoop It! Sites
- December 26, 2013 » Concurrent Bug Patterns and How to Test Them
- December 26, 2013 » Introduction to Bug Patterns in Java
- December 24, 2013 » How to overcome common obstacles to publishing in English
- December 24, 2013 » Real-Time Data Stream Manager (RTDSM) Interface Specification
- December 21, 2013 » Modelling in Big Data
- December 16, 2013 » Analyzing Data in Motion A Real-World View
- December 16, 2013 » Understanding trade-offs with Brewer’s CAP theorem
- December 14, 2013 » Foundational data architecture patterns
- December 14, 2013 » Applications using graph representation
- December 13, 2013 » N-Screen Application Development Manual
- December 12, 2013 » YARN (MapReduce 2)
- December 12, 2013 » Android WebView Application using Naver Open API
- December 11, 2013 » Stream Data Schema Design
- December 11, 2013 » Introduction to Stream Computing
- December 10, 2013 » Streams Application Design
- December 10, 2013 » Filter pattern
- December 9, 2013 » Analytics vs. Predictive Analytics
- December 9, 2013 » Streams design patterns
- December 9, 2013 » Publications
- December 9, 2013 » The evolution of analytics
- December 3, 2013 » Open The Door
November
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