Social And Emotional Learning Courses

Robot Learning in the Era of Large Pretrained Models - Stanford Seminar

Exploring interactive robot learning with large pretrained models, focusing on visual representations, data collection strategies, and leveraging language models for robotics applications.

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

SleepFM - Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Explore SleepFM, a groundbreaking multi-modal foundation model for sleep analysis, leveraging brain, cardiac, and respiratory data to improve sleep stage classification and disorder detection.

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

HECTOR - Multimodal Deep Learning Model for Predicting Recurrence Risk in Endometrial Cancer

Multimodal deep learning model HECTOR predicts endometrial cancer recurrence risk using histopathology images and tumor stage, outperforming current standards for personalized treatment decisions.

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

Human-Centered AI for Mental Health Prediction in Social Media Data

Exploring human-centered machine learning for ethical and compassionate mental health predictions on social media, combining Media Studies and Computer Science approaches.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.

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

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.

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

Divide and Conquer - Concept-based Models for Efficient Transfer Learning

Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.

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

Understanding Social Media's Role in Mental Health: Causal Perspectives and Interdisciplinary Pathways

Explore the complex relationship between social media and mental health through cutting-edge research, examining causal perspectives and discovering how digital platforms impact psychological well-being.

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

Harnessing AI to Understand and Advance Human Learning

Explore groundbreaking AI advancements in education with Stanford researchers discussing AI-driven training, evaluation, and analysis using educational data to transform learning and provide insights into human cognition.

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

Harnessing Data for Social Impact - Empowering Communities through Visualization and Social Computing

Explore innovative tools combining visualization, HCI, and AI to empower communities in addressing complex societal issues like urban planning and climate change, fostering inclusive decision-making.

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

Modeling Humans for Humanoid Robots - A Two-Level Learning Framework

Explore a groundbreaking framework for humanoid robots that combines vision-language-action models and low-level control skills to achieve human-like mobility and manipulation capabilities across diverse tasks.

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

Climate Change - The Science, Social Will, and Solutions

Explore the science of climate change, its energy connections, and solutions in this lecture by Kirsten Stasio, examining both the technical aspects and social challenges of addressing global warming.

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

Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains.

• YouTube
• 56 minutes
• Self-Paced
• Free Online Course

Managing Emotional and Psychological Aspects of Type 1 and Type 2 Diabetes

Explore strategies for managing emotional and psychological aspects of living with diabetes, focusing on family dynamics, coping mechanisms, and long-term wellness for both Type 1 and Type 2 patients.

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

Robots in Dynamic Tasks - Learning, Risk, and Safety

Explore advanced robotics in dynamic environments, covering autonomous drones, aerial manipulators, and risk-aware planning. Learn about machine learning applications, nonlinear control, and adaptive strategies for complex robotic tasks.

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