Institute for Pure & Applied Mathematics (IPAM) Courses

More is Different - Non-Scalability of Approximation in Modeling Noncovalent Interaction

3 ratings

Exploring the limitations of common approximations in modeling non-covalent interactions at the nanoscale, revealing complex scaling behaviors and the need for advanced quantum-mechanical methods.

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

Methods for Scalable Probabilistic Inference - IPAM at UCLA

1 rating

Explore scalable probabilistic inference methods for astrophysics, focusing on Gaussian Processes for time series analysis and open-source tools to accelerate Bayesian inference with large datasets.

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

Bridging the Gap Between Safety and Real-Time Performance for Autonomous Vehicle Control

1 rating

Explores a novel trajectory planning method for autonomous vehicles, balancing safety and real-time performance through offline computations and runtime optimization to ensure persistent feasibility.

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

Catalysis - Automated Multiscale Modeling and Active Exploration of Chemical Space

1 rating

Revolutionizing catalysis through automated multiscale modeling and active exploration of chemical space, accelerating material discovery and optimizing processes from first principles to reactor scale.

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

Learning Theory and Computational Microscopy - IPAM at UCLA

1 rating

Explore learning theory applications in computational microscopy, focusing on advanced techniques for image analysis and reconstruction in scientific research.

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

A Collective Intelligence Framework for Cloud Security

1 rating

Discover how multi-agent systems and collective intelligence can revolutionize cloud security through collaborative threat detection, vulnerability assessment, and incident response in distributed environments.

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

Electronic Structure Theory via Classical and Quantum Computation - IPAM at UCLA

1 rating

Explore electronic structure theory through classical and quantum computation, focusing on innovative techniques for modeling molecular systems and their potential applications.

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

Quantum Walk, Efficient Implementation, and Potential Application - IPAM at UCLA

1 rating

Explore quantum walk algorithms, efficient implementations, and potential applications in scientific computation with insights on quantum circuit design for various graph types.

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

The Future of AI

1 rating

Explore Sutton's vision for AI's future: experience-based learning, decentralized cooperation, and AI as the universe's next evolutionary step in this thought-provoking keynote.

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

AI in Engineering Education

1 rating

Discover how artificial intelligence is transforming engineering education through insights from USC's Yannis Yortsos at this IPAM keynote presentation.

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

Neural Cross-Frequency Coupling - Delta-Alpha, Resting State, Anesthesia, Sleep

1 rating

Explore neural cross-frequency coupling functions, focusing on delta-alpha interactions in resting state, anesthesia, and sleep. Discover how Bayesian inference reveals functional mechanisms of brainwave oscillations.

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

Scaling Up from Individual to Collective Cognition

1 rating

Explore how individual cognition scales to collective intelligence in animal groups, examining navigation, decision-making, and behavioral traditions through advanced biologging and sensing technologies.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Fast, Accurate and Large-Scale Ab-Initio Calculations for Materials Modeling

Explore advanced computational methods for large-scale density functional theory calculations, their applications in materials modeling, and the performance of the DFT-FE open-source code.

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

The Pitfalls of Using ML-Based Optimization - IPAM at UCLA

Explore pitfalls of ML-based optimization in graph problems, comparing traditional approaches for Force Path Cut and Hypergraph Discovery. Gain insights on limitations and potential improvements in AI applications.

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

Discrete Optimization-Aided Structured Learning at Scale - IPAM at UCLA

Explore discrete optimization techniques for structured learning, featuring algorithmic aspects, statistical setups, and approaches to feature selection and learning trees.

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