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Researchers Propose New Solution to Quantum Internet Transmission Problem
July 22, 2024
Getting intact qubits from here-to-there is the basic challenge for any quantum internet scheme. Now, scientists from the University of Chicago, Stanford Univer Read more…
Trust Me, I’m Smart: HPC and Government Regulation in the Coming AI Age
January 17, 2024
Stephen Hawking famously said that "success in creating effective AI could be the biggest event in the history of our civilization, but unless we learn how to p Read more…
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 Folding@home Service from PS3
October 22, 2012
After a successful five-year run, Sony is ending its participation with Stanford University's Folding@home 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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