Opportunity

Simpler Grants.gov #353936

NSF Solicitation for Mathematical Foundations of Artificial Intelligence Research

Buyer

U.S. National Science Foundation

Posted

May 02, 2024

Respond By

October 09, 2026

Identifier

353936

NAICS

541715

This opportunity from the U.S. National Science Foundation (NSF) seeks research proposals on the mathematical foundations of Artificial Intelligence (AI). - Government Buyer: - U.S. National Science Foundation (NSF) - Directorates: Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE) - OEMs and Vendors: - No specific OEMs or vendors are mentioned; this is a research grant solicitation - Products/Services Requested: - Research collaborations addressing foundational mathematical questions in AI - Focus areas include: - Mathematically grounded design and analysis principles for AI - Understanding capabilities and limitations of AI systems (foundation models, generative models, deep learning, statistical learning, federated learning) - Rigorous validation of machine learning algorithms - Enabling reliable, general-purpose AI systems - Unique/Notable Requirements: - Eligible applicants: U.S.-based non-profit organizations and institutions of higher education - Principal investigators must meet specific eligibility criteria - Total estimated funding: $8,500,000 - Minimum individual award: $1,500,000 - No specific products, part numbers, or quantities; this is a grant for research activities

Description

The U.S. National Science Foundation is sponsoring research collaborations focused on the mathematical and theoretical foundations of Artificial Intelligence (AI). The research aims to address critical foundational gaps in AI by developing mathematically grounded design and analysis principles, understanding AI capabilities and limitations, and creating rigorous validation approaches. The goal is to enable sustainable, socially responsible, and trustworthy AI through innovative mathematical and statistical frameworks. Eligible applicants include U.S.-based non-profit organizations and institutions of higher education, with specific eligibility criteria for principal investigators.

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