lightning network

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

Geoffrey Hinton gives an MIT talk on what is wrong with convolutional neural networks and introduces his capsules project. The description points to the capsule network papers.

The first lecture of Stanford's CS231n course on convolutional neural networks for visual recognition. It surveys the history and key challenges of computer vision, from the Cambrian explosion and Hubel and Wiesel to ImageNet.

A university lecture from CS480/680 by Pascal Poupart on attention mechanisms and transformer networks, worked through on a chalkboard.

A 1990 lecture by James Gosling on NeWS, Sun's networked window system in which clients send PostScript programs to the server for execution. It covers the high-level imaging model and compares NeWS with similar systems.

An 86-minute Milton Friedman talk arguing that inflation is a monetary phenomenon caused by money supply growing faster than goods, and that the cure is less government spending and money printing.

Milton Friedman lectures to physicians on the economics of medical care, arguing that government involvement raises costs and leads toward socialized medicine. He also discusses licensing and protecting patients from quacks.

Michael Levin presents his lab's work on how cellular collectives use bioelectric networks to make anatomical decisions. Topics include pattern memories, regeneration and synthetic living organisms.

The first lecture of David MacKay's Cambridge course on information theory, pattern recognition and neural networks. It introduces the core ideas of his book Information Theory, Inference, and Learning Algorithms.

Eric Cline presents the thesis of his book 1177 BC on the collapse of the interconnected Late Bronze Age Mediterranean civilizations. The talk covers the Egyptians, Mycenaeans, Hittites, Canaanites and their trade networks.

A 2012 lecture by Richard Stallman at Reykjavik University arguing that copyright, built for the printing press, fits poorly with computer networks. He criticizes draconian enforcement and corporate lobbying.

Thomas Garrity discusses mathematical maturity, a concept mathematicians use for professional development, and how it can inform teaching, mentoring and careers. It was given at the IAS/PCMI Park City Mathematics Institute.