Emerging Algorithms and Mathematical Paradigms for Reliable Next-Generation AI
IPAM's Emerging Algorithms and Mathematical Paradigms for Reliable Next-Generation AI workshop advances mathematical foundations for trustworthy, interpretable, and safe AI systems through interdisciplinary research.
Funder: Institute for Pure and Applied Mathematics
Due Dates: December 7, 2026 (application deadline for fullest consideration)
Funding Amounts: Travel and participation support available, with priority for graduate students, recent PhDs, and early-career researchers; registration fees range from $10–$100.
Summary: Workshop supporting interdisciplinary advances in mathematical and computational foundations for reliable next-generation AI.
Key Information: All applicants (including non-funding requests and UCLA affiliates) must apply; limited space.
Description
This workshop, organized by the Institute for Pure and Applied Mathematics (IPAM), aims to foster interdisciplinary collaboration at the intersection of mathematics, computation, and industry to address the reliability of next-generation AI systems. The event will focus on advancing mathematical foundations and computational techniques critical for ensuring accuracy, safety, and interpretability in AI, especially as systems become increasingly large-scale and probabilistic. Participants will engage in discussions and activities spanning probability, statistics, geometry, machine learning, and real-world deployment challenges. The workshop includes a poster session and opportunities for networking with leaders in academia and industry.
