Paul G. Allen School Courses

Shading Languages and the Emergence of Programmable Graphics Systems

Explore the evolution of shading languages and GPUs, from movie rendering to data-parallel computing, with insights on their impact on graphics, games, and high-performance applications.

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

Next-Generation Robot Perception: Hierarchical Representations, Certifiable Algorithms, and Self-Supervised Learning

Exploring next-gen robot perception: hierarchical representations, certifiable algorithms, and self-supervised learning for enhanced spatial understanding and robust estimation in robotics.

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

The Emergence of General AI for Medicine - Distinguished Lecture

Explore the potential of large language models in revolutionizing healthcare and medical science, discussing benefits, risks, and future implications of AI in medicine.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Stability and Learning in Strategic Queueing Systems

Explore stability and learning in strategic queueing systems with Éva Tardos. Discover how selfish behavior affects packet routing and server capacity in this insightful seminar on optimization and data analysis.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Computer Vision for Global-Scale Biodiversity Monitoring

Exploring AI-driven earth observation systems for real-time biodiversity monitoring and conservation, addressing challenges in ecological data analysis and promoting collaborative, interdisciplinary approaches.

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

Deep Reinforcement Learning for Query Optimization in Database Systems

Exploring deep reinforcement learning approaches to improve database query optimization, enhancing performance and reducing maintenance burden in database management systems.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Accelerating AI and ML: Architectures and Systems for Efficient Computing

Exploring domain-specific accelerators for AI/ML, focusing on high-performance computing solutions and innovative frameworks to optimize large-scale distributed deep learning systems.

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

Building High-Performance Distributed Storage Systems with Strong Consistency

Explore innovative approaches to building distributed storage systems that balance strong consistency with high performance, focusing on deferring consistency enforcement and novel durability primitives.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Building Reliable Machine Learning Systems - Challenges and Approaches

Exploring methods to build reliable machine learning systems robust to failures across subpopulations and environments, including influence functions, distributionally robust optimization, and real-world benchmarks.

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

What I Learned: Stories and Lessons from an Academic Lifetime

Renowned AI expert Oren Etzioni shares amusing anecdotes and valuable lessons from his 40-year career in computer science, offering insights applicable to aspiring technologists and researchers.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Machine Learning: The Last 20 Years and the Next

Explore 20 years of machine learning advancements, including massive-scale learning, adversarial learning, and deep learning. Gain insights into the field's evolution and future prospects from a renowned expert.

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

Towards $1 Robots

Explore the future of accessible robotics through innovative design, fabrication, and control methods. Learn how low-cost robots can revolutionize work, education, and play for everyone worldwide.

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

Constraints and Planning for Forceful Robotic Manipulation

Explore algorithms for robotic manipulation tasks requiring force and motion planning. Learn about constraints, task planning, and strategies for complex multi-stage operations like twisting nuts or using tools.

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

Learning from Multiple Data Sources

Explore multi-source data learning strategies and their implications for machine learning algorithms, focusing on challenges and potential solutions in diverse data environments.

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

A Data-Centric View on Robustness - IFDS 2022

Explore data-centric approaches to robustness in machine learning, examining strategies to enhance model reliability and performance across diverse scenarios.

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