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1 |
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Causality and Autoencoders in the Light of Drug Repurposing for COVID-19 |
Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021. |
Caroline Uhler |
29 Jul 2021 |
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2 |
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Recent Applications of Stein's Method in Machine Learning |
Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021. |
Qiang Liu |
29 Jul 2021 |
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3 |
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Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning |
Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021 |
Aki Vehtari |
29 Jul 2021 |
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4 |
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Machine Learning in Drug Discovery |
Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. |
Fergus Boyles |
23 Jun 2021 |
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5 |
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Cre-AI-tivity: Blood in a Whatsapp message? |
This last in our trilogy explores data as the foundation of AI systems. We learn how this enables mapping individual learners' progress and benchmarking in a teaching context, but also how that data exchange raises ethical issues. |
Abigail Williams, Jussi Ängeslevä, Carl Schoenfeld |
28 May 2021 |
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6 |
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A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline |
Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. |
Benjamin Guedj |
28 May 2021 |
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7 |
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Cre-AI-tivity: Hogwarts 4ever? |
The second in our trilogy of podcasts explores the role AI can play in story creation and development. We learn how machines can extend a fictional story world, as well as our interaction with it. |
Abigail Williams, Jussi Ängeslevä, Carl Schoenfeld |
17 May 2021 |
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8 |
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Cre-AI-tivity: Make the machine work 4u |
First in a trilogy explores the impact of AI on story creation and reception. We learn how machines enable audiences to experience the humanity of fictional characters. Yet a ‘rhetoric of innovation’ gets in the way of understanding what is happening. |
Abigail Williams, Jussi Ängeslevä, Carl Schoenfeld |
06 May 2021 |
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9 |
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Looking back on 4 years in data science |
Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world. |
Jonny Brooks-Bartlett |
28 Nov 2020 |
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10 |
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An Introduction to deep learning |
Professor Ard Louis gives a basic introduction to deep learning for physicists and addresses a few questions such as: Is the hype around deep learning justified, or are we about to hit some fundamental limitations? |
Ard Louis |
22 Mar 2020 |
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11 |
Creative Commons |
Will War still need us? What Future for Agency in War? |
Will War still need us? What Future for Agency in War? - an interview with Christopher Coker |
Solveig Gade, Christopher Coker |
27 Nov 2019 |
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12 |
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Season Finale: AI selection box |
In the final episode of our series, we’re looking back at the themes we’ve discussed so far, and forward into the likely development of AI. |
Gil McVean, Sandra Wachter, Nigel Shadbolt, Peter Millican |
08 Jan 2019 |
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13 |
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Is China leading the way in AI? |
In the penultimate episode of series one of Futuremakers, we’re looking at the development of AI across the globe. |
Peter Millican, Mike Wooldridge, Xiaorong Ding, Sophie-Charlotte Fischer |
19 Dec 2018 |
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14 |
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What does AI mean for the future of humanity |
Join our host, philosopher Professor Peter Millican, as he explores this topic with three experts from Oxford University. |
Peter Millican, Allan Dafoe, Mike Osborne, Jade Leung |
12 Dec 2018 |
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15 |
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Has AI changed the way we find the truth? |
Around the world, automated bot accounts have enabled some government agencies and political parties to exploit online platforms in dispersing fake messages. |
Peter Millican, Rasmus Kleis Nielsen, Vidya Narayanan, Mimie Liotsiou |
06 Dec 2018 |
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16 |
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From Ada Lovelace to Alan Turing, the birth of AI? |
Many developments in science are achieved through people being able to ‘stand on the shoulders of giants’ and in the history of AI two giants in particular stand out. |
Peter Millican, Ursula Martin, Andrew Hodges, Jacob Ward |
19 Nov 2018 |
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17 |
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Is AI good for our health? |
Join our host, philosopher Peter Millican, as he explores the topic "Is AI good for our health?" |
Peter Millican, Alison Noble, Paul Leeson, Jessica Morley |
02 Nov 2018 |
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18 |
Creative Commons |
Computational Literary Studies and Mental Health |
A project combining English literature, experimental psychology, and computational linguistics, with a focus on entropy, abstraction, and mental health. |
James Carney, Emily Troscianko |
12 Sep 2018 |
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19 |
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How do we find planets around other stars? |
The 3rd Wetton lecture, 19th June 2018 delivered by Professor David W. Hogg, Center for Cosmology and Particle Physics, New York University |
David W Hogg |
02 Jul 2018 |
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20 |
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How do you teach a robot social cues? |
As robots are increasingly deployed in settings requiring social interaction we asked the Big Question: How do you teach a robot social cues? To find out we visited Shimon Whiteson, Associate Professor at the Department of Computer Science |
Shimon Whiteson |
19 Jun 2018 |
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21 |
Creative Commons |
How do you teach a machine to a drive a car? |
Autonomous cars have been a staple of science fiction for years featuring in films like Minority Report and I Robot. But how far away are we really from enjoying a hassle-free driving journey? To find out the answer we visited Dr Ingmar Posner, Associate |
Ingmar Posner |
28 Mar 2017 |
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22 |
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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 Mar 2017 |
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23 |
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At a Physics Info/Sci Intersection |
Physics Colloquium 30th October 2015 delivered by Professer Paul Ginsparg |
Paul Ginsparg |
03 Nov 2015 |
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24 |
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'Artificial Intelligence' part 2 - How to create machines that learn |
Professor Nando de Freitas explains that understanding how our brains work has helped us create machines that learn, and how these learning machines can be put to completing different tasks. |
Nando de Freitas |
19 May 2015 |
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25 |
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'Artificial Intelligence' part 1 - Using artificial intelligence to spot patterns |
Professor Stephen Roberts explains how machines, whose job it is simply to learn, can help researchers spot scientific needles in data haystacks, which will help us solve some grand challenges. |
Stephen Roberts |
15 Apr 2015 |
