This program supports six to 12 ambitious two-year research projects that leverage Empire AI's multinode GPU clusters. Funded research spans computational astrophysics, biology, mathematics, neuroscience, and physical chemistry, focusing on foundational machine learning models to solve fundamental scientific problems. Exceptional proposals on data curation are considered if integrated with scientific problem-solving. Total funding is $6 million over two years.
Eligible applicants are PIs with tenure-track or tenured faculty positions at Empire AI consortium member institutions, holding Ph.D., M.D., or equivalent degrees. Collaborators may be from other institutions via subcontract. No citizenship restrictions, but Foundation employees and institutions in
