A new distributed computing and data infrastructure project at Argonne is paving the way for faster scientific discoveries at the Department of Energy’s national laboratories.
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.
Argonne has received $3 million in funding to develop artificial intelligence and machine learning technology that has the potential to tackle some of the country’s biggest data challenges.
Wildfire indices and high-resolution climate models combine to produce a detailed historical analysis of wildfire events across the U.S. and suggest the potential for more severe and frequent fires in the latter half of the century.
An extensive collaboration led by Argonne recently won the Inaugural SCinet Technology Challenge at the Supercomputing 19 conference by demonstrating real-time analysis of light source data from Argonne’s APS to the ALCF.