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Stable Diffusion in Code (AI Image Generation) - Computerphile
Mainframes and the Unix Revolution - Computerphile
Error Correction & International Book Codes - Computerphile
Turing Machines Explained - Computerphile
Code vs Data (Metaprogramming) - Computerphile
Code Libraries - Computerphile
Cracking Enigma in 2021 - Computerphile
Optimising Code - Computerphile
Parsing Explained - Computerphile
Code Checking Automation - Computerphile
Floating Point Numbers - Computerphile
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Last Updated: September 25, 2026
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Summary
Audible free book: audible.com/ 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 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 ... Moving on from crude error correction to more sophisticated methods, Professor Brailsford demostrates using the ISBN 'book ... Standard progamming libraries - but how do they work? Dr Steve Bagley links us to the details. What Happend When ... Enigma is known as the WWII cipher, but how does it hold up in 2021? Dr Mike Pound implemented it and shows how it stacks up ... You can optimise for speed, power consumption or memory use & tiny changes can have a negligible or huge impact, but what ... How ambiguity is dangerous! Professor Brailsford simplifies parsing. EXTRA BITS: youtu.be/Airi85CPdPk Angle Brackets: ... The original version of text messaging had a flaw, but how can we investigate problems with software quickly and easily? Why can't floating point do money? It's a brilliant solution for speed of calculations in the