Simulation / Modeling / Design

Share Your Science: Accelerating Cognitive Workloads with Machine Learning

Jan 18, 2016
By Brad Nemire
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  • IBM Fellow Ruchir Puri leads large-scale big data systems development at the Thomas J. Watson Research Center.
  • The team applies machine learning and GPUs to predict drug reactions in real time.

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Ruchir Puri, an IBM Fellow at IBM’s Thomas J. Watson Research Center shares how they are building large-scale big data systems and delivering real-time solutions, such as using machine learning and GPUs to predict drug reactions.

Learn more about the work IBM Thomas J. Watson Research Center is doing with GPUs at research.ibm.com/labs/watson
Share your GPU-accelerated science with us: http://nvda.ly/Vpjxr
Watch more scientists and researchers share how accelerated computing is #thepathforward: Watch Now

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Data Science | Simulation / Modeling / Design | News | Big Data & Data Mining | Developer Spotlight | Machine Learning & Artificial Intelligence | Supercomputing

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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.

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