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Data Science using GPUs

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15 June 2015


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Data Science

A growing number of data scientists are using GPUs for big data analytics to make better, real-time business decisions. This page highlights customer use cases and their techniques in big data analytics, such as machine learning, deep learning, search, and sorting.

10x SPEED-UP ON IMAGE DETECTION USING NEURAL
NETWORKS

10x SPEED-UP ON IMAGE DETECTION USING NEURAL NETWORKS Dr. Dan Ciresan, Swiss Al Lab IDSIA, Switzerland

WORLD'S LARGEST ARTIFICIAL NEURAL NETWORKS WITH
GPUS

WORLD’S LARGEST ARTIFICIAL NEURAL NETWORKS WITH GPUS Adam Cotes et al Sanford Al Lab, U.S.A. – LEARN MORE   For information on key data science applications, please visit the GPU Applications page.

 

ARTICLES


TECHNICAL REPORTS AND TALKS ON DATA SCIENCE

Data Mining & Analytics

Search & Sorting

Databases

Map-Reduce / Hadoop

Where GPU Research happens

Georgia Tech

Georgia Tech

Hong Kong University of Science and
Technology

Hong Kong University of Science and Technology

IDSIA

IDSIA

Nankai
University

Nankai University

New York
University

New York University

Ohio State
University

Ohio State University

Stanford

Stanford

University of
Michigan

University of Michigan

University of
Montreal

University of Montreal

University of
Toronto

University of Toronto

Virginia Tech

Virginia Tech

Where GPUs are deployed

Baidu

Baidu

Cortexica

Cortexica

Jedox

Jedox

Nuance

Nuance

Onuma

Onuma

Salesforce

Salesforce

Shazam

Shazam

Yandex

Yandex

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