Paul G. Allen School Courses

Toward Total Scene Understanding for Autonomous Driving

Exploring machine learning advancements in autonomous driving, focusing on perception, prediction, and planning. Discusses impact on accessibility and future AI agent capabilities.

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

Introducing AccessMap Multimodal - Including the Nonvisual Experience

Explore AccessMap Multimodal's innovative features for inclusive navigation, focusing on nonvisual experiences and enhancing accessibility for diverse users in urban environments.

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

Introducing AccessMap Multimodal - Including the Nonvisual Experience

Explore AccessMap Multimodal's innovative approach to inclusive navigation, focusing on nonvisual experiences and enhancing accessibility for diverse users in urban environments.

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

Tools for Equitable Transportation Planning with the TDEI Infrastructure

Explore equitable transportation planning tools using TDEI Infrastructure. Learn innovative approaches for creating inclusive and accessible urban mobility systems.

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

Accessibility in the Open - Driving Global Disability Equity Through Open Source

Exploring disability-inclusive design's impact on global equity, emphasizing user-centered practices and open source solutions to address accessibility challenges in technology and society.

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

Toward Total Scene Understanding for Autonomous Driving

Explore cutting-edge machine learning techniques for autonomous driving, including perception, behavior prediction, and planning. Learn about Waymo's research on ML models for real-world environments and AI's impact on accessibility.

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

Uncertainty Quantification for Learning-Enabled Robots

Exploring formal assurances for learning-enabled robots using vision and language inputs. Focuses on uncertainty quantification techniques to enhance safety and reliability in novel scenarios.

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

GraphLab - Machine Learning for Big Data in the Cloud

Explore GraphLab, a framework for efficient parallel machine learning algorithms handling Big Data. Learn about its advantages over existing tools and its impact on large-scale tasks.

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

Data Science for Human Well-Being

Exploring how digital activity data can provide insights into physical and mental well-being, using computational methods to analyze behavior patterns and improve health outcomes globally.

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

Physics-based Manipulation With and Around People

Explore physics-based robotic manipulation and human-robot collaboration with Siddhartha Srinivasa. Learn about innovative models, frameworks, and initiatives for advanced robotic manipulation in human environments.

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

Computer Security and Privacy for Existing and Emerging Technologies

Exploring computer security and privacy risks in emerging technologies, focusing on augmented reality, user-specific needs, and potential exploitation of advertising ecosystems.

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

The Art of Leaderboarding in the Era of Extreme-Scale Neural Models

Explore how smaller models with knowledge and reasoning algorithms can outperform larger neural models in NLP tasks, challenging the notion that scale alone determines AI performance.

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

The Science of Large Language Models and Language Models for Science

Explore open-source language models with OLMo project, featuring DOLMa dataset, Tulu instruction-tuned model, and OLMo v1. Learn about advancements in NLP and AI for transparent, accessible research.

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

Interpretable Machine Learning Approaches for Multi-Year Climate Variability

Explore interpretable machine learning techniques for identifying and understanding predictable multi-year climate variability, focusing on neural networks and explainable AI in climate science research.

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

Machine Learning and the Hydroxyl Radical for Air Quality and Climate

Explore machine learning applications in predicting hydroxyl radical trends, their impact on air quality and climate, and implications for methane trends and future climate change.

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