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Find similar grantsSimons Foundation – Collaboration on the Physics of Learning and Neural Computation is sponsored by Simons Foundation. Supports research into the fundamental scientific principles underlying artificial intelligence, including large language models in science.
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Simons Foundation Launches Collaboration on the Physics of Learning and Neural Computation You are using an outdated browser. Please upgrade your browser to improve your experience. Mathematics & Physical Sciences Mathematics & Physical Sciences Physics of Learning and Neural Computation The Simons Foundation is pleased to announce the launch of the Simons Collaboration on the Physics of Learning and Neural Computation.
The collaboration will employ and develop powerful tools from physics, mathematics, computer science and theoretical neuroscience to understand how large neural networks learn, compute, scale, reason and imagine.
“Artificial intelligence tools have rapidly advanced over the last few years and entered our day-to-day lives, yet we still fundamentally don’t understand what they’re doing under the hood,” says Collaboration Director Surya Ganguli, an associate professor at Stanford University. “This collaboration will bring together researchers from across many disciplines to better uncover answers. We’re excited to get started.
” Throughout the history of machine learning, physicists have made groundbreaking contributions that laid the foundation for today’s deep learning and artificial intelligence. Progress in machine learning and artificial intelligence continues to accelerate, but modern AI remains a “black box. ” While AI tools can produce insightful outputs, the internal workings of how they arrive at those solutions are largely a mystery.
The new collaboration will serve as a concerted effort to discover the fundamental principles that make AI work by treating AI as a complex physical system. Collaboration researchers will draw on physics, computer science, neuroscience, mathematics and statistics to understand how the structure of data, learning dynamics and neural architectures interact to yield striking emergent computations, including reasoning and creativity.
Simons Collaborations in Mathematics and the Physical Sciences bring together groups of outstanding researchers to address topics of fundamental scientific importance. Collaborations receive up to $2 million per year for an initial period of four years, including indirect costs, and may be extended for an additional three years.
The collaboration will be funded by grants from Simons Foundation International administered by the Simons Foundation.
The members of the new collaboration are: Director; Stanford University PI; University of Maryland, College Park PI; University of Maryland, College Park PI; Northeastern University PI; École Polytechnique Fédérale de Lausanne PI; Johns Hopkins University PI; University of Montreal PI; Johns Hopkins University PI; École Polytechnique Fédérale de Lausanne Science, Society & Culture September 11, 2026 Quanta Magazine Launches Weekly Dispatch to Cover How AI Is Changing Math Science, Society & Culture September 09, 2026 Open Interval Invites Artists, Scientists and Arts Organizations to Explore ‘Turbulence’ Simons Foundation September 01, 2026 Funding Opportunity Available for Empire AI Projects
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Simons Foundation – Collaboration on the Physics of Learning and Neural Computation is funded by Simons Foundation. Verify program details on the funder's official page before applying.
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MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.