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

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

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

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

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

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

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

How Can Large Language Models Learn From Humans? - Understanding Psycholinguistic Predictions and Sheaf Theory

Explore how combining lexical predictions from LLMs with syntactic structures can improve language understanding, using sheaf theory to better match human reading patterns and comprehension.

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

Understanding Human Intelligence Through Human Limitations

Explore how human cognitive limitations shape intelligence and learning, examining efficient resource use, limited-data learning, and collective problem-solving in the context of AI advancement.

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

Plausible Fiction: Accounting for Actualizing Potential

Explore the concept of "plausible fiction" methodology and its role in actualizing potential through mathematical frameworks, caring practices, and category theory applications.

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