Winning paper describes how specialized data center AI systems can be used to quickly train machine learning models through a geographically distributed workflow.
Rajeev Thakur, a senior computer scientist and deputy director of the Data Science and Learning Division at Argonne National Laboratory, has been named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).
Argonne looks to exascale and beyond, sorting out the relationship between computing and experimental facilities, the need for speed and AI’s role in making it all work.
AI techniques today leave sensitive patient data at risk of being exposed. Learn how Argonne is collaborating with organizations to overcome this challenge and expand the use of AI within health care.
Early career scientists from around the world got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.