Rebecca Schulman - Can we build biomaterial robots with proprioception? - IPAM at UCLA

Robert Batterman - Deep Learning, Correlations, and the Statistics of Natural Images - IPAM at UCLA

Dalal Alharthi - A Collective Intelligence Framework for Cloud Security - IPAM at UCLA

Joshua Vogelstein - It's about time: learning in a dynamic world - IPAM at UCLA

Albert Kao - Social influence and the emergence of collective intelligence in pigeon flocks

Nikta Fakhri - Broken Symmetries in Living Matter - IPAM at UCLA

Santosh Manicka - How might multiscale collectives ‘collect’ across scales? - IPAM at UCLA

Govind Menon - Does life compute? - IPAM at UCLA

Adria LeBoeuf - Metabolic division of labor creates organismal cohesion - IPAM at UCLA

James Marshall - Negative feedback as a noise suppression mechanism in collective foraging

Alice Schwarze - Emerging Intelligence: from neurons to social dynamics - IPAM at UCLA

Montasir Abbas - On the Road to Collective Intelligence with the Green Light SONATA - IPAM at UCLA

Richard Mann - Learning to Disagree - IPAM at UCLA

Daniel Blair - Dynamic Mechanical Phases in Active and Passive Fluids - IPAM at UCLA

Conor Heins - Collective behavior from surprise minimization - IPAM at UCLA

Joshua Tan - Composing games into complex institutions - IPAM at UCLA

Bernard Chazelle - New Tools for Analyzing Collective Behavior - IPAM at UCLA

Iain Couzin - Cognitive collectives - IPAM at UCLA

Orit Peleg - Emergent Spatiotemporal Patterns in Insect Swarms - IPAM at UCLA

Ahmed El Hady - Mechanistic theory of social foraging - IPAM at UCLA

Vishwesha Guttal - Stochasticity and collective escape responses in moving animal groups

Mauro Maggioni - On exploiting compositional structure: one bit of theory and one application

Josh Tenenbaum - Scaling Intelligence the Human Way - IPAM at UCLA

Pronita Mehrotra - Cognitive Mechanisms That Power Learning and Creativity - IPAM at UCLA

Rupak Majumdar - How to interact when you must - IPAM at UCLA

Una May O Reilly - Adversarial Intelligence in Natural and Artificial Systems - IPAM at UCLA

Swarat Chaudhuri - Abstraction and Evolution with Large Language Models - IPAM at UCLA

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

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

Kevin Ellis - Probabilistic Thinking in Language and Code - IPAM at UCLA