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Richard Evans: Inductive logic programming and deep learning I
Stephen Muggleton - Logic based and Probabilistic Symbolic Learning (2nd ESSENCE Summer School)
Alan Turing and the development of Artificial Intelligence, Stephen H. Muggleton | LMS Alan Turing
Inductive Logic Programming
Stephen H. Muggleton: Are AI's Key Challenges Solved
Meta-Interpretive Learning and Program Induction
NAMPI v2 - Richard Evans - Differentiable Inductive Logic Programming
Richard Evans: Inductive logic programming and deep learning II
AI-4-EB - Stephen Muggleton - Robot Scientists and Robot Engineers - Imperial College London
(Pt. 5) Inductive Logic Programming with LNN's
IJCLR 2021 - ILP - Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation
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Last Updated: October 18, 2026
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Summary
Lecture 17, Thursday 5 July 2018, part of the FoPSS Lecture 18, Thursday 5 July 2018, part of the FoPSS Andrew Cropper, logic luminary and creator of the popular Popper, discusses the paper " Lecture 19, Friday 6 July 2018, part of the FoPSS Abstract: Alan Turing (1912-1954) has been widely celebrated as having laid the foundations for Computer Science, Automated ... Abstract: Generative Pre-trained Transformer models (GPT) are a form of Large-Language model which has recently attracted ... This talk will review work at Imperial College on the development of Meta-Interpretive Learning (MIL), a technique which supports ... Neural Abstract Machines & Program Lecture 20, Friday 6 July 2018, part of the FoPSS The value of engineering approaches to biology is amply demonstrated, for example through engineered vaccines that have ... This video provides an overview of some work from IBM research on ILP 2021 Dany Varghese, Roman Bauer, Daniel Baxter-Beard,
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