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Professor Christel Baier delivers the Hillary Term 2024 Strachey Lecture Abstract: The classical stochastic shortest path (SSP) problems asks to find a policy for traversing a weighted stochastic graph until reaching a distinguished goal state
In this terms Strachey lecture, Professor Monika Henzinger gives an introduction to differential privacy with an emphasis on differential private algorithms that can handle changing input data. Decisions are increasingly automated using rules t
It’s said that Henry Ford’s customers wanted a “a faster horse”. If Henry Ford was selling us artificial intelligence today, what would the customer call for, “a smarter human”? That’s certainly the picture of machine intelligence we find in sc
It’s said that Henry Ford’s customers wanted a “a faster horse”. If Henry Ford was selling us artificial intelligence today, what would the customer call for, “a smarter human”? That’s certainly the picture of machine intelligence we find in sc
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 Symmetry is a fundamental concept in mathemati
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. Our abilit
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. Our abilit
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. There has been a proliferation
Mixed Signals: audio and wearable data analysis for health diagnostics Wearable and mobile devices are very good proxies for human behaviour. Yet, making the inference from the raw sensor data to individuals’ behaviour remains difficult. The li
The advantages of computing for society are tremendous. But while new technological developments emerge, we also witness a number disadvantages and unwanted side-effects. The advantages of computing for society are tremendous. But while new tec
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. As AI technologies enter our everyday lives at an ever increasing pace, there is a greater need
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. As AI technologies enter our everyday lives at an ever increasing pace, there is a greater need
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. Innovation is the main event of the modern age, the reason we experience both dra
Medicine and Physiology in the Age of Dynamics: Newton Abraham Lecture 2020 Lecture by Professor Alan Garfinkel (2019-2020 Newton Abraham Visiting Professor, University of Oxford, Professor of Medicine (Cardiology) and Integrative Biology and P
Medicine and Physiology in the Age of Dynamics: Newton Abraham Lecture 2020 Lecture by Professor Alan Garfinkel (2019-2020 Newton Abraham Visiting Professor, University of Oxford, Professor of Medicine (Cardiology) and Integrative Biology and P
Medicine and Physiology in the Age of Dynamics: Newton Abraham Lecture 2020 Lecture by Professor Alan Garfinkel (2019-2020 Newton Abraham Visiting Professor, University of Oxford, Professor of Medicine (Cardiology) and Integrative Biology and P
Can we build on our understanding of supervised learning to define broader aspects of the intelligence phenomenon. Strachey Lecture delivered by Leslie Valiant. Supervised learning is a cognitive phenomenon that has proved amenable to mathemati
Can we build on our understanding of supervised learning to define broader aspects of the intelligence phenomenon. Strachey Lecture delivered by Leslie Valiant. Supervised learning is a cognitive phenomenon that has proved amenable to mathemati
Professor Leslie Kaelbling (MIT) gives the 2019 Stachey lecture. The Strachey Lectures are generously supported by OxFORD Asset Management. We, as robot engineers, have to think hard about our role in the design of robots and how it interacts w
Professor Leslie Kaelbling (MIT) gives the 2019 Stachey lecture. The Strachey Lectures are generously supported by OxFORD Asset Management. We, as robot engineers, have to think hard about our role in the design of robots and how it interacts w
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? In his 1950 paper "Computing
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? In his 1950 paper "Computing
This talk is about the experience of providing privacy when running analytics on users’ personal data. The two-sided market of Cloud Analytics emerged almost accidentally, initially from click-through associated with user's response to search r
This talk is about the experience of providing privacy when running analytics on users’ personal data. The two-sided market of Cloud Analytics emerged almost accidentally, initially from click-through associated with user's response to search r
This talk is about the experience of providing privacy when running analytics on users’ personal data. The two-sided market of Cloud Analytics emerged almost accidentally, initially from click-through associated with user's response to search r
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