Institute for Pure & Applied Mathematics (IPAM) Courses

Deterministic AI Agents for Downstream Tasks and Application to Hurricane Forecasting

Explore how deterministic AI agents can revolutionize hurricane forecasting by processing 20 years of operational data to accelerate human forecaster tasks like search and prediction.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

A Complex Systems Perspective on Machine Learning for Earth Science

Explore how machine learning tackles Earth science complexity, from extreme weather prediction to causal discovery in nonlinear systems through data-driven approaches.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Operator-Theoretic Approaches to Feature Extraction and Statistical Modeling of Climate Dynamics

Discover operator-theoretic methods for climate dynamics analysis, featuring kernel approaches to extract El Niño patterns and model atmospheric systems with spectral decomposition techniques.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Learning Cloud Microphysics via Progressive Refinement Mimicking Maximal Information Entropy

Explore neural network training strategies for atmospheric cloud microphysics models using progressive data refinement and entropy-maximizing sampling techniques.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Hybrid Physics/AI Modeling of Turbulence, Convection, and Cloud Feedbacks in the CliMA Climate Model

Discover how hybrid physics/AI modeling tackles climate uncertainty by calibrating turbulence, convection, and cloud feedbacks with Earth observations for robust climate projections.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Clouds in Weather and Climate Models - Deterministic and Stochastic Approaches

Explore cloud modeling uncertainties in Earth system simulation using Bayesian methods and machine learning to improve weather forecasts and climate projections.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Machine Assistance and the Future of Research Mathematics

Explore how AI and machine learning are transforming mathematical research through formal proof assistants, language models, and collaborative platforms with renowned mathematician Terry Tao.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

LIGO - 10 Years of New Science

Discover how gravitational wave detection through LIGO has revolutionized astrophysics over the past decade, exploring breakthrough discoveries and emerging scientific frontiers.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Does Progress in Earth System Modeling Require More Data, More Compute, or Both?

Explore the critical resources driving Earth system modeling progress, examining how data and compute limitations impact weather forecasting, climate projection, and machine learning approaches.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

What is Being Transformed by AI in Higher Education? - Everything

Explore how AI is revolutionizing every aspect of higher education, from teaching methods to research practices, in this insightful presentation by a UCLA expert.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Systematic Evolution of Ligands by Exponential Enrichment - The Need for AI

Discover how AI revolutionizes SELEX (Systematic Evolution of Ligands by Exponential Enrichment) for accelerated scientific discovery in molecular biology and drug development.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Generative Models for Materials - Stochastic Interpolants to Sound Benchmarks

Explore stochastic interpolants for materials discovery using the Open Materials Generation framework to predict crystal structures and generate novel stable materials.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Scalable Algorithms for Bayesian Deep Learning via Stochastic Gradient Monte Carlo and Beyond

Discover advanced Monte Carlo methods for Bayesian deep learning, focusing on replica exchange SGMCMC algorithms that overcome scalability challenges in big data neural network training.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Linearized Optimal Transport to Predict Evolution of Stochastic Particle Systems

Discover how linearized optimal transport theory enables efficient prediction of stochastic particle system evolution without learning explicit governing operators.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Toward Physical Generative Modeling

Explore advanced techniques for sampling physical measures in chaotic dynamical systems using neural networks, generative modeling, and score-based methods for scientific applications.

• YouTube
• 42 minutes
• Self-Paced
• Free Video