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machine learning

# Episode Title Description People Date
1 Creative Commons AI and Services-led Growth: Evidence from Indian Job Adverts Online job adverts show that the demand for AI related skills has grown rapidly in countries around the world since 2015. This project examines the demand for AI skills in India's service sector, using a new dataset of online job adverts. Alex Copestake, Max Marczinek, Ashley Pople, Katherine Stapleton 30 Aug 2023
2 Creative Commons Artificial Intelligence and why the future is bright This week Shubham Saraff and Andreas Finzel discuss the impact of technologies like AI and machine learning. They talk about the benefits and difficulties we experience today and what sectors of our economy are being disrupted first. Shubham Saraff, Andreas Finzel 24 Feb 2022
3 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
4 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
5 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
6 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
7 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
8 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
9 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
10 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
11 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
12 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
13 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
14 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
15 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
16 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
17 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
18 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
19 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
20 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
21 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
22 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
23 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
24 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
25 At a Physics Info/Sci Intersection Physics Colloquium 30th October 2015 delivered by Professer Paul Ginsparg Paul Ginsparg 03 Nov 2015
26 '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
27 '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