Utilizing the Full Power of Empire AI
Utilizing the Full Power of Empire AI supports Empire AI researchers developing and using foundational machine learning models on multinode GPU clusters to solve fundamental problems in mathematics and basic science.
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Funder: Simons Foundation
Due Dates: September 1, 2026 (Applications open) | December 1, 2026, noon Eastern (Full application) | March 1, 2027 (Decisions) | June 1, 2027 (Award start)
Funding Amounts: Expected $6 million USD across six to 12 two-year awards; no individual award maximum
Summary: Supports foundational machine learning research using Empire AI’s multinode GPU clusters to address fundamental questions in mathematics and basic science.
Key Information: Lead PIs must hold tenure-track or tenured faculty positions at one of nine eligible Empire AI consortium institutions.
Description
The Simons Foundation’s Utilizing the Full Power of Empire AI program funds ambitious two-year research programs that develop and use foundational machine learning models to solve problems of fundamental scientific importance. Supported fields are computational astrophysics and physics, computational biology, mathematics, neuroscience and computational physical chemistry, including work at their intersections. The competitive call is directed to the Empire AI research community.
Projects must use Empire AI’s multinode GPU clusters. Representative areas include computational biophysics, ecology and evolution, plant biology, optimal transport, multiscale physics, fluid dynamics and numerical general relativity. Data curation and dataset creation may be supported in exceptional cases, provided the proposers use the resulting data to solve scientific problems within the same project.
