Emerging Algorithms and Mathematical Paradigms for Reliable Next-Generation AI
A workshop by IPAM exploring new mathematical and algorithmic methods to ensure reliable, interpretable, and robust next-generation AI systems.
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Funder: Institute for Pure and Applied Mathematics
Due Dates: November 22, 2026 (application deadline for fullest consideration)
Funding Amounts: Financial support available; funding priority for graduate students, postdocs, and early-career researchers; registration fees: $25–$100 depending on category.
Summary: Workshop advancing mathematical and algorithmic foundations for reliable next-generation AI, with emphasis on interdisciplinary collaboration and practical guarantees.
Key Information: Applications after deadline considered if space remains; in-person spots may fill early.
Description
This workshop, hosted by the Institute for Pure and Applied Mathematics (IPAM), focuses on developing and discussing advanced mathematical and algorithmic paradigms to ensure the reliability, interpretability, and robustness of next-generation AI systems. The event emphasizes the foundational role of sampling techniques in modern AI—including diffusion models and large language models—while fostering rigorous guarantees for accuracy and safety. Participants will engage with leading researchers from mathematics, computer science, and industry to bridge theoretical advances and practical challenges in AI.
