Videos

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Aishni Parab - Extracting Structured Data from Multi-Modal Input - IPAM at UCLA Thumbnail

Aishni Parab - Extracting Structured Data from Multi-Modal Input - IPAM at UCLA

Presenter
  • Aishni Parab
November 7, 2024
IPAM
Erik Winfree - Equilibrium is inference: lessons from a model of liquid-liquid phase separation Thumbnail

Erik Winfree - Equilibrium is inference: lessons from a model of liquid-liquid phase separation

Presenter
  • Erik Winfree
November 7, 2024
IPAM
Michael Levin - Non-neural intelligence: biological architecture problem-solving in diverse spaces Thumbnail

Michael Levin - Non-neural intelligence: biological architecture problem-solving in diverse spaces

Presenter
  • Michael Levin
November 6, 2024
IPAM
Andrew Barron - Honey bee intelligence: thinking with one million neurons - IPAM at UCLA Thumbnail

Andrew Barron - Honey bee intelligence: thinking with one million neurons - IPAM at UCLA

Presenter
  • Andrew Barron
November 5, 2024
IPAM
Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA Thumbnail

Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA

Presenter
  • Tai-Danae Bradley
November 5, 2024
IPAM
David Spivak - Plausible Fiction: Accounting for Actualizing Potential - IPAM at UCLA Thumbnail

David Spivak - Plausible Fiction: Accounting for Actualizing Potential - IPAM at UCLA

Presenter
  • David Spivak
November 5, 2024
IPAM
Tom Griffiths - Understanding human intelligence through human limitations - IPAM at UCLA Thumbnail

Tom Griffiths - Understanding human intelligence through human limitations - IPAM at UCLA

Presenter
  • Tom Griffiths
November 5, 2024
IPAM
Sanjoy Dasgupta - Neural machines: From fruit flies to embedded devices - IPAM at UCLA Thumbnail

Sanjoy Dasgupta - Neural machines: From fruit flies to embedded devices - IPAM at UCLA

Presenter
  • Sanjoy Dasgupta
November 4, 2024
IPAM
Private AI: Machine Learning on Encrypted Data Thumbnail

Private AI: Machine Learning on Encrypted Data

Presenter
  • Kristin Lauter
October 7, 2020
IMSI

Machine Learning & HPC Enabled Prediction in Tokamaks

Presenter
  • William Tang
September 13, 2025
ICERM

Guannan Zhang - Generative diffusion models for learning stochastic flow maps in particle-based kinetic simulation

April 17, 2026
IPAM
Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA Thumbnail

Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA

Presenter
  • Roger Melko
October 20, 2023
IPAM