MLPerf Ascends as DAWNBench is Phased Out

January 31, 2020

As the MLPerf benchmark emerges as an industry standard for measuring the performance of machine learning models, its creators said they will phase out the foundational DAWNBench metric. Stanford University researchers announced earlier this month they will end rolling submissions—that is, finished sections of a model... Read more…

Stanford University and UberCloud Achieve Breakthrough in Living Heart Simulations

September 21, 2017

Cardiac arrhythmia can be an undesirable and potentially lethal side effect of drugs. During this condition, the electrical activity of the heart turns chaotic, Read more…

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

Stanford Researchers Tackle Cardiac Arrhythmia Detection with Machine Learning

July 12, 2017

Using machine learning techniques Stanford University researchers reported developing an algorithm for identifying cardiac arrhythmias that performs as well or Read more…

Sony Removes [email protected] Service from PS3

October 22, 2012

After a successful five-year run, Sony is ending its participation with Stanford University's [email protected] project. Read more…

A Dark Matter for Astrophysics Research

May 31, 2011

Projects like the Sloan Digital Sky Survey have provided a wealth of cosmological data for scientists to explore in detail. However, making use of those terabytes -- and generating far more data in the process of simulating and analyzing new concepts -- is highlighting the bottlenecks for scientific computing at massive scale. Read more…

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