YouTube Courses

Introduction to EECS I

Integrated introduction to electrical engineering and computer science, covering software engineering, linear systems, electronic circuits, and decision-making through lectures and recitations.

• YouTube
• 17 hours
• Self-Paced
• Free Video

Engineering Mathematics: Linear Algebra and ODEs, Fall 2014

Explore linear algebra and ODEs, covering numerical solutions for equation systems. Learn first and second-order equations with renowned instructor Gilbert Strang.

• YouTube
• 5 hours
• Self-Paced
• Free Video

Underactuated Robotics - Spring 2009

This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.

• YouTube
• 1 day 4 hours
• Self-Paced
• Free Video

Cryptocurrency Engineering and Design - Spring 2018

Explore Bitcoin and cryptocurrency design, focusing on cryptography, game theory, and network architecture. Gain insights into blockchain technology, mining, transactions, and advanced concepts like Lightning Network.

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

Theory of Computation, Fall 2020

Explore computability and complexity theory with MIT's in-depth course. Covers automata, Turing machines, undecidability, NP-completeness, and advanced topics in computational theory.

• YouTube
• 1 day 8 hours
• Self-Paced
• Free Video

MIT Computational Biology - Genomes, Networks, Evolution, Health - Fall 2018

Comprehensive exploration of computational biology, covering genomics, networks, evolution, and health applications through advanced algorithms, data analysis, and cutting-edge research topics.

• YouTube
• 1 day 7 hours
• Self-Paced
• Free Video

Machine Learning in Genomics - Fall 2019

Comprehensive exploration of computational biology techniques, from dynamic programming to deep learning, applied to genomics, epigenomics, and systems biology. Covers cutting-edge topics like single-cell genomics and genome engineering.

• YouTube
• 1 day 10 hours
• Self-Paced
• Free Video

Building Embodied Autonomous Agents

Explore modular agents for visual navigation, 3D semantic mapping, and embodied instruction following. Learn about self-supervised learning, semantic search policies, and state-of-the-art performance in challenging environments.

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

Large Language Models - Will They Keep Getting Bigger?

Explore the future of large language models, discussing scaling challenges, sparse mixtures of experts, improved prompting techniques, and new forms of supervision for enhanced NLP performance.

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

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

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

EI Seminar - Recent Papers in Embodied Intelligence

Explore cutting-edge research in embodied intelligence, covering topics like experiment design, neuro-symbolic models, robot design, speech recognition, and social perception.

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

Recent Papers in Embodied Intelligence I

Explore cutting-edge research in embodied intelligence, covering topics like robot training, task planning, neural networks, and machine learning for various AI applications.

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

Computational Principles Underlying the Learning of Sensorimotor Repertoires

Explore computational principles of motor learning, focusing on context's role in memory activation and how statistical learning shapes object representations.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

The Task Specification Problem

Exploring challenges in AI task specification, focusing on aligning human communication with machine understanding to improve robustness, transfer, and feature learning in AI systems.

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

Intuitive Reasoning as Unsupervised Neural Generation

Explore intuitive reasoning in AI through neural generation, covering topics like common sense, language models, and multimodal information with researcher Yejin Choi.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video