supervised learning

Mark Rober and Jabril build an app that uses machine learning to decode baseball sign sequences. The video also explains neural networks in a simple, accessible way.

A short smartphone-recorded clip from a 2014 event in Paris where DeepMind CEO Demis Hassabis presents an AI learning to play old Atari games. The system learns from only the video signal and the score. Audio quality is poor.

SethBling shows MarI/O, a program using neural networks and the NEAT genetic algorithm to learn to play Super Mario World. The description links the source code, the paper and background reading.

Destin of Smarter Every Day learns to ride a bicycle whose steering is reversed, taking about eight months, and compares it with how his young son learned much faster. It illustrates knowledge versus understanding and brain plasticity in adults versus children.

Smarter Every Day host Destin Sandlin tries to hover a helicopter and finds it very hard. The video shows how the constant coordinated corrections across several control axes feel at first and how learning makes them automatic.

OpenAI's short demo of agents playing hide-and-seek in a simulated environment. Through self-play, the agents develop six progressively more complex strategies and counter-strategies, including tool use.

A short video accompanying the CVPR 2018 paper Learning to See in the Dark. It shows a neural network producing sharp images from very low-light raw sensor data, compared against denoising approaches.

Mike Boyd takes up Smarter Every Day's challenge to learn to ride the Backwards Brain Bike, a bicycle whose steering is inverted, and rides 50 meters. It shows how hard it is to unlearn a motor skill.

Toyota Research Institute presents an approach for teaching robots new dexterous behaviors from human demonstration. It explains why this capability matters and what advances made it possible.

A 1970 demonstration of W. Timothy Gallwey, author of The Inner Game of Tennis, teaching a complete beginner to play tennis in about ten minutes. He chats with her, feeds balls and gives positive feedback instead of instruction.

A demo of PREDATOR (TLD), a real-time object tracker that learns the appearance of its target and improves while it tracks. The technology was later developed commercially.

A five-minute SuperMemo demo of incremental reading: importing a Wikipedia article on nutrition, extracting passages, making cloze deletions and finishing the item. It lists the keyboard shortcuts used.

A short Unitree promo for its G1 humanoid robot, priced from $16K, showing agile motion, dexterous hands and imitation and reinforcement learning.

Tom7 explains and demos software that learns to play NES games by finding score patterns in memory and then searching for inputs that raise it. It is the video companion to his SIGBOVIK paper.

Drummer Larnell Lewis hears Metallica's Enter Sandman for the first time on Drumeo and learns to play it by ear, using his musical vocabulary.

A short Tesla clip showing the Optimus humanoid robot sorting objects autonomously and doing yoga-style stretches. Tesla says its neural network is trained end to end, from video in to controls out.

A bot built by Robin Baumgarten plays Infinite Mario using A* path-finding, shown as a red planned path that updates as new obstacles appear. It won the Mario AI competitions and uses only on-screen information.

Juan Benet gives an overview and demo of the go-ipfs alpha. It shows the peer-to-peer content-addressed protocol in action, including streaming video from a home computer.

A two-hour complete longplay of the 1993 MS-DOS puzzle game The Incredible Machine, in which players assemble Rube Goldberg contraptions to complete simple tasks.

A short demo of the Deep Visualization Toolbox, which shows the activations inside a convolutional neural network as it processes live camera input. Viewers see individual units responding to edges, faces and text.

A demonstration of the 1982 Xerox Star user interface, including its desktop, icons, documents, networking and printing. The uploader argues that Apple's later Lisa and Mac interfaces evolved from these ideas rather than copying them.

A short IEEE Spectrum clip of Stanford's autonomous car Junior learning to powerslide into a parking spot. It shows several approaches to the maneuver.