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Graphs, Vectors and Machine Learning - Computerphile
Code Checking Automation - Computerphile
Mainframes and the Unix Revolution - Computerphile
Machine Learning Methods - Computerphile
Stable Diffusion in Code (AI Image Generation) - Computerphile
Code vs Data (Metaprogramming) - Computerphile
Code Libraries - Computerphile
Mike's Cube Code - Computerphile
Curried Functions - Computerphile
Parsing Explained - Computerphile
Optimising Code - Computerphile
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Last Updated: September 18, 2026
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Summary
Audible free book: audible.com/ Years of work down the drain, the convolutional neural network is a step change in image classification accuracy. Image Analyst ... There's a lot of talk of image and text AI with large language models and image generators generating media (in both senses of ... The original version of text messaging had a flaw, but how can we investigate problems with software quickly and easily? No internet, no networking; just a screen and a keyboard, or a pile of cards to punch holes in; mainframes were a world apart from ... We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ... Mike Continues his look at AI Image Generation with Stable Diffusion Mike's Standard progamming libraries - but how do they work? Dr Steve Bagley links us to the details. What Happend When ... It's all about the input. You can't always give all a function's inputs at the same time. Professor Graham Hutton explains about ... How ambiguity is dangerous! Professor Brailsford simplifies parsing. EXTRA BITS: youtu.be/Airi85CPdPk Angle Brackets: ... You can optimise for speed, power consumption or memory use & tiny changes can have a negligible or huge impact, but what ...