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machine learning

# Episode Title Description People Date
1 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
2 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
3 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
4 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
5 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
6 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
7 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
8 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 Nielsen, Vidya Narayanan, Mimie Liotsiou 06 Dec 2018
9 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
10 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
11 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
12 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
13 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
14 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
15 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
16 At a Physics Info/Sci Intersection Physics Colloquium 30th October 2015 delivered by Professer Paul Ginsparg Paul Ginsparg 03 Nov 2015
17 '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
18 '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