Social And Emotional Learning Courses

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
• On-Demand
• Free Video

Leveraging Social Theories to Enhance Human-AI Interaction

Explores challenges in human-AI partnerships, focusing on interpretability tools' limitations and cognitive heuristics. Proposes incorporating social theories to improve decision-support systems and human-AI interaction.

• YouTube
• 55 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

AI Is Human, Not Artificial - Reframing Intelligence Through Social Modeling and Symbiosis

Explore how AI reflects human intelligence through social modeling and symbiosis, challenging views of artificial intelligence as alien with insights on consciousness and evolution.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Introduction to Deep Learning - Lecture 1

Discover deep learning fundamentals through Stanford's CS230 introduction, covering class overview, real-world project examples, and essential details for mastering AI applications.

• YouTube
• 1 hour
• On-Demand
• Free Video

Deep Reinforcement Learning - Frontiers - Lecture 18

Explore cutting-edge frontiers in deep reinforcement learning, covering problem setup, advanced methods, and real-world deployment strategies with Stanford's expert guidance.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Deep Reinforcement Learning - Tutorial Session: Review of Q-Learning

Dive into Q-learning fundamentals with MDP review, parametric approaches, and practical algorithm walkthroughs for deep reinforcement learning mastery.

• YouTube
• 51 minutes
• On-Demand
• Free Video