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Intel, UPenn Launch Massive Multi-center AI Effort to Refine Brain Cancer Models
May 11, 2020
Intel and the University of Pennsylvania today announced a collaboration involving 29 international medical centers to train models to recognize brain tumors. The project is part of the Informatics Technology for Cancer Research (ITCR) program of the National Cancer Institute (NCI) and will use ‘federated learning architecture’ to mine relevant data while maintaining... Read more…
The Human Brain Project Takes Lumps Again
July 29, 2019
The European-funded Human Brain Project (HBP) has stirred its share of controversy over the years so perhaps it’s not surprising that The Atlantic should tak Read more…
Part One: Deep Dive into 2018 Trends in Life Sciences HPC
March 1, 2018
Life sciences is an interesting lens through which to see HPC. It is perhaps not an obvious choice, given life sciences’ relative newness as a heavy user of H Read more…
Optalysys Optical Co-processor Hits Milestone with GENESYS Project
February 12, 2018
Optalysys, a U.K company seeking to commercialize optical co-processor technology, today announced completion of its Genetic Search System (GENESYS) project con Read more…
SC17: AI and Machine Learning are Central to Computational Attack on Cancer
November 7, 2017
Enlisting computational technologies in the war on cancer isn’t new but it has taken on an increasingly decisive role. At SC17, Eric Stahlberg, director of th Read more…
Cancer Research: A Supercomputing Perspective
May 31, 2017
Cancer is quite possibly the ultimate in HPC problems, as this contributed feature from TACC science writer Aaron Dubrow shows. Read more…
TACC Helps ROSIE Bioscience Gateway Expand its Impact
April 26, 2017
Biomolecule structure prediction has long been challenging not least because the relevant software and workflows often require high-end HPC systems that many bi Read more…
BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences
January 4, 2017
Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…
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