
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


Artur Izmaylov - Quantum SENiority-based Subspace Expansion (Q-SENSE) and Its Extensions

Pooya Ronagh - Leveraging Periodicity as a Quantum PDE Solver - IPAM at UCLA

Alexander Kemper - Towards early quantum advantage with impurity embedding methods - IPAM at UCLA

Matthew Otten - Classical-First Pathways to Early Fault-Tolerant Quantum Chemistry - IPAM at UCLA

Peter Johnson - Evaluating Progress Toward Quantum Utility - IPAM at UCLA

Nicole Bellonzi - What Does “Chemically Useful” Actually Mean? - IPAM at UCLA

Katerina Gratsea - Utility-Scale Apps w/ Full Stack Design of Fault Tolerant Quantum Computers

"AI & Science -- Industry Leadership" Panel Discussion at IPAM at UCLA

"AI & Science -- Higher Education Transformation" Panel Discussion - IPAM at UCLA

Yannis Yortsos - AI in Engineering Education - IPAM at UCLA

Brenda Rubenstein - Thinking About AI and How Education Plays Into That - IPAM at UCLA

Bhuvnesh Jain - AI in the natural sciences - IPAM at UCLA

Miguel Garcia-Garibay - What is being transformed by AI in Higher Education? (Everything)

Sebastien Bubeck - A Combinatorics Problem - IPAM at UCLA

Erran Li - Reasoning Foundation Models for Molecular Worlds - IPAM at UCLA

Jiantao Jiao - World Models for Scientific Thought Experiments - IPAM at UCLA

Hoifung Poon - Accelerating Medical Discovery - IPAM at UCLA

Andrea Bertozzi - Systematic evolution of ligands by exponential enrichment - the need for AI

Damek Davis - Trying to estimate the slope of AI for Math progress in my field - IPAM at UCLA
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