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We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ... With the explosion of AI image generators, AI images are everywhere, but how do they 'know' how to turn text strings into ... Deterministic route finding isn't enough for the real world - Nick Hawes of the Oxford Robotics Institute takes us through some ... Described as GenAIs greatest flaw, indirect prompt injection is a big problem, Mike Pound from University of Nottingham explains ... There's a lot of talk of image and text AI with large language models and image generators generating media (in both senses of ... Coding Partial Derivatives in Python is a good way to understand what

Plausible text generation has been around for a couple of years, but how does it work - and what's next? Rob Miles on Language ... Professor Brailsford returns to the subject of why Colossus was built. The professor's notes: ... Bug Byte puzzle here - - and apply to Jane Street programs here - (episode sponsor). Just what is happening inside a Convolutional Neural Network? Dr Mike Pound shows us the images in between the input and the ... Rust has memory management built in. Ian Knight takes us through some of its features. Garbage Collection video: ...

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Last Updated: June 9, 2026

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Machine Learning Methods - Computerphile

Machine Learning Methods - Computerphile

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We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains ...

Using Bayesian Approaches & Sausage Plots to Improve Machine Learning - Computerphile

Using Bayesian Approaches & Sausage Plots to Improve Machine Learning - Computerphile

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Bayesian logic is already helping to improve

Active (Machine) Learning - Computerphile

Active (Machine) Learning - Computerphile

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Machine Learning

Malware and Machine Learning - Computerphile

Malware and Machine Learning - Computerphile

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