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Argonne to help drive AI revolution in astronomy with new institute led by Northwestern University
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Argonne to help drive AI revolution in astronomy with new institute led by Northwestern University
by Lea E. Radick for ANL News
Lemont IL (SPX) Nov 05, 2024

The U.S. National Science Foundation and Simons Foundation have selected a group of institutions, including Argonne, to receive funding to establish an AI and astronomy institute called the NSF-Simons AI Institute for the Sky (SkAI). Part of a groundbreaking effort to harness artificial intelligence (AI) to unlock the mysteries of the cosmos, the U.S. Department of Energy's (DOE) Argonne National Laboratory is a key collaborator in the newly launched NSF-Simons AI Institute for the Sky (SkAI), led by Northwestern University.

Jointly funded by a $20 million grant from the U.S. National Science Foundation (NSF) and the Simons Foundation, SkAI aims to revolutionize how researchers explore the universe by developing innovative AI technologies capable of handling the vast data generated by astronomical surveys.

"Our lab's advanced computational capabilities are ideally suited for the challenges posed by the enormous datasets from astronomical surveys. By developing AI-driven solutions, we are accelerating discoveries that will reshape our understanding of the universe." - Katrin Heitmann, Argonne physicist and computational scientist

Renowned for its expertise in computational science and artificial intelligence, Argonne will help develop quantitatively trustworthy foundational AI approaches. These AI tools will be able to process the immense datasets from upcoming projects like the Vera C. Rubin Observatory's Legacy Survey of Space and Time.

Argonne's impacts in computational cosmology will also play an important role in the SkAI institute. World-leading simulations carried out on DOE's exascale supercomputers will be a crucial input to understanding the universe from the largest to the smallest scales.

Together, these tools and capabilities will enable researchers to analyze data more efficiently, revealing insights into astrophysical phenomena such as the formation of black holes and the evolution of galaxies. They will also be used to investigate dark matter and dark energy, which drive the evolution of the universe and how structure forms within it.

"Argonne is proud to be at the forefront of this transformative project," said physicist and computational scientist Katrin Heitmann, deputy director of Argonne's High Energy Physics division. Heitmann is also part of the SkAI team working on computational cosmology.

"Our lab's advanced computational capabilities are ideally suited for the challenges posed by the enormous datasets from astronomical surveys. By developing AI-driven solutions, we are accelerating discoveries that will reshape our understanding of the universe."

Led by Northwestern University and supported by Argonne and other partners, SkAI brings together a diverse team of over 80 researchers across 25 institutions. These institutions include the University of Chicago, University of Illinois Urbana-Champaign, the National Center for Supercomputing Applications, DOE's Fermi National Accelerator Laboratory, University of Illinois Chicago, the Adler Planetarium and the University of Wisconsin-Madison, as well as several undergraduate education and research institutions, and industry and art organizations.

As part of its commitment to fostering the next generation of scientists, the SkAI team will also train a diverse and inclusive STEM workforce through its inclusion of the SkAI Satellite Network. This network comprises a set of 16 regional and national college partners that include 13 minority-serving institutions and two institutions participating in the NSF Established Program to Stimulate Competitive Research initiative.

Additionally, the tools and techniques developed by the SkAI team will be made available to the global research community, ensuring that the impact of SkAI extends far beyond its initial participants.

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Rubin Observatory Legacy Survey of Space and Time
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