
Institute for Pure & Applied Mathematics (IPAM)
The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.
Episodes


Ida Momennejad - Evaluation & architecture of intelligence in humans, LLM, & generative AI for games

Dora Biro - Scaling up from individual to collective cognition - IPAM at UCLA

Daniel McNamee - Studies on strong intuitive reasoning in human experts - IPAM at UCLA

Jacob Foster - Death & dreams in low dimensions: discovering pattern & structure in cultural traces

Michael Murray - Overfitting: benign, tempered and harmful - IPAM at UCLA

Kelsey Allen - Physical problem-solving across timescales - IPAM at UCLA

Dan Yamins - Climbing the Ladder of Causation Toward Mid-Level Vision - IPAM at UCLA

Ilker Yildirim - Reverse-engineer neural cognitive representation w/ multilevel computation theories

Simon Garnier - Of Swarms and Slimes: Intelligence Beyond – and Without – the Brain

Peter Todd - Traces of search in space and mind - IPAM at UCLA

Non-commutative Optimal Transport - Spring 2025 - IPAM at UCLA

Ida Momennejad - Reinforcement Learning and architectures of intelligence, Pt. 3 of 3 - IPAM at UCLA

Erica Cartmill - Basic Models of Animal Cognition, Pt. 3 of 3 - IPAM at UCLA

Mayank Mehta - Neural mechanisms of intelligence, Pt. 3 of 3 - IPAM at UCLA

Josh Bongard - Evolutionary computation - IPAM at UCLA

Misha Belkin - The elusive generalization and easy optimization, Pt. 2 of 2 - IPAM at UCLA

Misha Belkin - The elusive generalization and easy optimization, Pt. 1 of 2 - IPAM at UCLA

Scott Page - Diverse Intelligences and Problem Solving - IPAM at UCLA

Scott Page - Wisdom of Crowds: Diverse Intelligences and Collective Predictions and Classifications
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