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Strachey Lectures

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Strachey Lectures
This series covers the Strachey Lectures, a series of termly computer science lectures named after Christopher Strachey, the first Professor of Computation at the University of Oxford.

Hosted by the Department of Computer Science, University of Oxford, the Strachey Lectures began in 1995 and have included many distinguished speakers over the years. The Strachey Lectures are generously supported by OxFORD Asset Management.

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Displaying 1 - 27 of 27 episodes
Episode Description People Date Captions
Privacy, Verification, Robustness: A Cryptographer's perspective on ML Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML Shafi Goldwasser 11 March, 2025 Captions
From probabilistic bisimulation to representation learning via metrics Strachey Lecture: From probabilistic bisimulation to representation learning via metrics - Professor Prakash Panangaden Prakash Panangaden 2 December, 2024 Captions
Strachey Lecture: The Computer in the Sky The talk will emphasize the diversity of mathematical tools necessary for understanding blockchain protocols and their applications Tim Roughgarden 16 May, 2024 Captions
Strachey Lecture: From classical to non-classical stochastic shortest path problems Professor Christel Baier delivers the Hillary Term 2024 Strachey Lecture Christel Baier 6 February, 2024 Captions
Strachey Lecture: How Can Algorithms Help to Protect our Privacy In this term's Strachey lecture, Professor Monika Henzinger gives an introduction to differential privacy with an emphasis on differential private algorithms that can handle changing input data. Monika Henzinger 13 November, 2023 Captions
Strachey Lecture: Use or Be Used - Regaining Control of AI It’s said that Henry Ford’s customers wanted “a faster horse”. If Henry Ford was selling us artificial intelligence today, what would the customer call for, “a smarter human”? Neil Lawrence 4 September, 2023 Captions
Strachey Lecture: Symmetry and Similarity An introduction to algorithmic aspects of symmetry and similarity, ranging from the fundamental complexity theoretic "Graph Isomorphism Problem" to applications in optimisation and machine learning Martin Grohe 16 February, 2023 Captions
Strachey Lecture: Integrating Logic, Probability and Neuro-Symbolic Reasoning using Probabilistic Soft Logic An overview of work on probabilistic soft logic (PSL), an SRL framework for large-scale collective, probabilistic reasoning in relational domains and a description of recent work which integrates neural and symbolic (NeSy) reasoning. Lise Getoor 27 October, 2022 Captions
Strachey Lecture: How Are New Technologies Changing What We See? There has been a proliferation of technological developments in the last few years that are beginning to improve how we perceive, attend to, notice, analyse and remember events, people, data and other information. Yvonne Rogers 16 March, 2022 Captions
Strachey Lecture: Mixed Signals Mixed Signals: audio and wearable data analysis for health diagnostics Cecilia Mascolo 6 January, 2022 Captions
Strachey Lecture: The Quest for Truth in the Information Age The advantages of computing for society are tremendous. But while new technological developments emerge, we also witness a number disadvantages and unwanted side-effects. Sonja Smets 4 November, 2021
Strachey Lecture: Getting AI Agents to Interact and Collaborate with Us on Our Terms As AI technologies enter our everyday lives at an ever increasing pace, there is a greater need for AI systems to work synergistically with humans. Subbarao Kambhampati 12 May, 2021
Strachey Lecture: How Innovation Works - Serendipity, Energy and the Saving of Time Innovation is the main event of the modern age, the reason we experience both dramatic improvements in our living standards and unsettling changes in our society. Matt Ridley 12 May, 2021
Strachey Lecture: Medicine and Physiology in the Age of Dynamics Medicine and Physiology in the Age of Dynamics: Newton Abraham Lecture 2020 Alan Garfinkel 2 April, 2020 Captions
Strachey Lecture: Can one Define Intelligence as a Computational Phenomenon? Can we build on our understanding of supervised learning to define broader aspects of the intelligence phenomenon. Strachey Lecture delivered by Leslie Valiant. Lesley Valiant 11 December, 2019
Strachey Lecture: Doing for our robots what evolution did for us Professor Leslie Kaelbling (MIT) gives the 2019 Stachey lecture. The Strachey Lectures are generously supported by OxFORD Asset Management. Leslie Kaelbling 29 March, 2019 Captions
Strachey Lecture: Steps Towards Super Intelligence Why has AI been so hard and what are the problems that we might work on in order to make real progress to human level intelligence, or even the super intelligence that many pundits believe is just around the corner? Rodney Brooks 20 December, 2018
Strachey Lecture: Privacy-preserving analytics in, or out of, the cloud This talk is about the experience of providing privacy when running analytics on users’ personal data. Jon Crowcroft 16 April, 2018
Strachey Lecture: The Continuing Evolution of C++ Stroustrup discusses the development and evolution of the C++, one of the most widely used programming languages ever. Bjarne Stroustrup 12 December, 2017
Lovelace Lecture: Learning and Efficiency of Outcomes in Games Éva Tardos, Department of Computer Science, Cornell University, gives the 2017 Ada Lovelace Lecture on 6th June 2017. Éva Tardos, Leslie Goldberg 22 August, 2017
Strachey Lecture: Computer Agents that Interact Proficiently with People Professor Kraus will show how combining machine learning techniques for human modelling, human behavioural models, formal decision-making and game theory approaches enables agents to interact well with people. Sarit Kraus 23 June, 2017
Strachey Lecture: Probabilistic machine learning: foundations and frontiers Professor Zoubin Ghahramani gives a talk on probabilistic modelling from it's foundations to current areas of research at the frontiers of machine learning. Zoubin Ghahramani 15 March, 2017
Oxford University Department of Computer Science: Second Year Group Design Practicals Students undertaking undergraduate (first) degrees in Computer Science, Computer Science & Philosophy and Maths & Computer Science undertake a Group Design Practical as a compulsory part of the course. Computer Science Students 8 November, 2016
Strachey Lecture: The Once and Future Turing Professor Andrew Hodges author of 'Alan Turing: The Enigma' talks about Turing's work and ideas from the definition of computability, the universal machine to the prospect of Artificial Intelligence. Andrew Hodges, Mike Wooldridge 2 November, 2016
Strachey Lecture: Quantum Supremacy Dr Scott Aaronson (MIT, UT Austin) gives the 2016 Strachey lecture. Scott Aaronson 14 June, 2016
Strachey Lecture: Artificial Intelligence and the Future In this talk Demis Hassabis discuss's what is happening at the cutting edge of AI research, its future impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Demis Hassabis 26 February, 2016
Strachey Lecture: Bidirectional Computation is Effectful A reconstruction (slides and voiceover) of a talk given at the Summit on Advances in Programming Languages (snapl.org/2015) in May 2015. Jeremy Gibbons 17 November, 2015
Displaying 1 - 27 of 27 episodes

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