Simpler Grants.gov #24-569

NSF Solicitation for Mathematical Foundations of Artificial Intelligence Research

The U.S. National Science Foundation (NSF) is inviting proposals for research on the mathematical and theoretical foundations of artificial intelligence (AI). - Government Buyer: - U.S. National Science Foundation (NSF) - Sponsored by multiple NSF Directorates: Mathematical and Physical Sciences; Computer and Information Science and Engineering; Engineering; Social, Behavioral and Economic Sciences - OEMs and Vendors: - No specific OEMs or vendors are named, as this is a research grant for academic and non-profit organizations - Products/Services Requested: - Interdisciplinary research projects focused on mathematical and theoretical aspects of AI - Topics include: foundation models, generative models, deep learning, statistical learning, federated learning - No part numbers or quantities, as this is not a product procurement - Unique or Notable Requirements: - Emphasis on interdisciplinary collaboration - Focus on explainable, interpretable, sustainable, and trustworthy AI - Eligible applicants: U.S.-based non-profit, non-academic organizations and institutions of higher education - Awards range from $500,000 to $1,500,000, with total program funding of $8,500,000 - No cost sharing or matching required

Description

This solicitation from the U.S. National Science Foundation seeks research collaborations among mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists to address foundational mathematical and theoretical questions in artificial intelligence (AI). The focus is on understanding the capabilities, limitations, and emerging properties of AI methods and developing mathematically grounded design and analysis principles for current and next-generation AI systems. The goal is to create explainable, interpretable, sustainable, socially responsible, and trustworthy AI technologies. Eligible applicants include non-profit, non-academic organizations and institutions of higher education in the U.S.

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