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The Arctic is undergoing rapid changes due to climate change, making sea ice forecasting increasingly important. In this episode of the Turing Podcast, hosts Amelia Jabry and Dr. Sophie Arana discuss the critical role of AI models like IceNet in predicting sea ice conditions and aiding conservation efforts. Featuring Dr. Ellie Bowler from the British Antarctic Survey, the conversation dives into the technical details of IceNet, its applications for wildlife conservation, and the challenges of predicting sea ice dynamics. The discussion also covers the importance of these predictions for indigenous communities and wildlife that rely on the frozen Arctic landscape. Learn how AI is revolutionising our approach to these urgent environmental challenges. Read more about our environmental forecasting work here: https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai  Explore IceNet: https://icenet.ai/ Find out more about Dr Ellie Bowler's publications: https://www.bas.ac.uk/profile/eller/ Read more about Dr Sophie Arana here: https://www.turing.ac.uk/people/dr-sophie-arana    Chapters: 00:00 Introduction to Arctic Climate Change 00:39 Meet the your host Amelia and co-host Dr Sophie Arana  00:57 Understanding the Role of a Research Application Manager 01:47 Introduction to ICE Net 02:47 AI vs. Traditional Physics-based Forecasting Models 03:40 Human Expertise and AI Collaboration 04:56 Introducing Dr. Ellie Bowler and her sea ice and caribou migration forecasting research 06:21 Challenges in Sea Ice Forecasting 10:01 Caribou Migration and Conservation 12:30 Impact of Human Activities on Arctic Wildlife 16:38 Innovative Conservation Methods 23:25 Future of ICE Net and AI in Conservation 26:54 Conclusion and Further Resources

New podcast - defending our critical national infrastructure.   Podcast host Amelia Jabry is joined by co-host and Turing Principal Research Scientist, Vasilios Mavroudis to explore how AI is reshaping both the defence and attack of vital systems like healthcare, energy and transport. With the help of special guest, Microsoft’s Director of Global AI & Cybersecurity Policy Nicholas Butts, they ask: how vulnerable are our power grids, water systems, and communications networks in the age of advanced AI? And what are organisations like the Alan Turing Institute and Microsoft are doing to protect these essential services? Episode Notes Please find below a list of resources and news articles that were mentioned in the podcast:  Microsoft Digital Defense Report 2024 Glossary - AIRC Staying ahead of threat actors in the age of AI | Microsoft Security Blog https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/ https://www.bbc.co.uk/news/articles/c0el31nqnpvo https://www.bbc.co.uk/news/articles/czx1qp64wrno    

Ed and David chat with Professor Ibrahim Habli, Research Director at the Centre for Assuring Autonomy in the University of York, and director of the UKRI Centre for Doctoral Training in Safe AI Systems. The conversation covers the topic of defining and contextualising AI safety and risk, given existence of existing safety practices from other industries. Ibrahim has collaborated with The Alan Turing Institute on the "Trustworthy and Ethical Assurance platform", or "TEA" for short, an open-source tool for developing and communicating structured assurance arguments to show how data science and AI tech adheres to ethical principles.

On this episode, Bea and Jessie are joined by Becky Inkster and Mark Sheppard, co-founders of The Laß; a fusion of science, creativity and personal reflection. Collaborating with famous musicians, dancers and members of the public, Becky and Mark use EEG brain activity technology to visualise poignant moments. They hope to offer both internal and external reflection opportunities to nurture personal growth and community bonds. For more information visit - https://www.beckyinkster.com/the-lab   Don't forget to explore our shorter AI news podcast - too long didn't read

To what extent can a computer network be actively managed and defended by intelligent autonomous agents? In this episode, Ed and Anneca talk to Vasilios Mavroudis and Chris Hicks explore this question and more.  Vas and Chris lead the Turing’s AI for Cyber Defence (AICD) research centre which seeks to fundamentally transform the way in which we secure digital systems through the development and application of cutting edge, deep-learning based approaches to intelligent agents.    Find more information about AICD here   Don't forget to explore our shorter AI in the news podcast - too long didn't read

On this episode of The Turing Podcast Bea and Anneca are joined by Lord Chris Holmes, Britain’s most successful Paralympic swimmer and an active member of the House of Lords with a policy focus on digital technology for public good. Connect with Lord Holmes on  Linked In   Explore our regular news AI news podcast, too long didn't read

The Turing Podcast revisits Project Bluebird; a fascinating collaboration aiming to solve some of the biggest and most complex problems in air traffic control with digital twins and AI. Join Ed as he sits down with Nick Pepper of The Alan Turing Institute, George De Ath of the University of Exeter and Marc Thomas of NATS - the team behind Project Bluebird. First featured on our podcast in 2020, the team now provides a progress update at the midpoint mark. Learn how they are developing innovative AI to train a digital twin air traffic controller with the aim of enhancing aviation safety and functionality, and what the challenges are, integrating human expertise with machine intelligence.

This week the podcast, the hosts are joined by Kate Highnam and Myles Foley, both of whom are PhD candidates at Imperial College London working at the intersection of machine learning and cyber security. Kate and Myles were part of a team who last year won the CAGE challenge (Cyber Autonomy Gym for Experimentation), with their reinforcement learning-based solution. We chat about how advances in AI are being used to address challenges in cyber security, and what can and cannot be automated.

This week on The Turing Podcast we chat about some of the research going on in the collaborations between the British Antarctic Survey (BAS) and The Alan Turing Institute, including efforts to automate the route planning of ships in polar regions, and the building of a digital twin for Antarctica!  The hosts are joined by Dr Scott Hosking and Dr Jonathan Smith. Scott is Co-Director for the Alan Turing Institute Research and Innovation Cluster in Digital Twins, as well as the founder and leader of the BAS AI lab. Jonathan is a Principal Research Scientist, also at the BAS AI lab.

This week the hosts chat with Dr Katie McDonough and Dr Daniel Wilson. Katie is a lecturer in Digital Humanities in the Department of History at Lancaster University and a Senior Research Fellow at The Alan Turing Institute. Daniel is a Turing Research Fellow and historian of science and technology. The episode covers their research at the Turing and the growing intersection between the worlds of data science and the humanities and arts, with a focus on the MapReader software developed explore and analyse maps (and other images) at scale.

In the first episode of The Turing Podcast season 4, the hosts are joined by Cari Hyde-Vaamonde, a PhD candidate at Kings College London and visiting lecturer in law. The episode discusses the field of Algorithmic Justice and Cari's work modelling the decision making process of judges.

Artificial Intelligence has transformed the way we interact with technology, from voice assistants to autonomous vehicles. As the development and implementation of AI continues to grow at pace, the question of regulation is absolutely key.   Join Bea and Anneca as they discuss the ramifications of the EU's AI regulations framework with the Turing's Ray Eitel-Porter and Florian Ostmann. 

Join Bea and Anneca as they discuss the potential and current AI tools being used around treating and diagnosing illnesses such as dementia, with Zoe Kourtzi. Zoe is Professor of Computational Cognitive Neuroscience at the University of Cambridge. Her research aims to develop predictive models of neurodegenerative disease and mental health with translational impact in early diagnosis and personalised interventions.

In this week’s Turing Podcast, Ed chats with Tim Harford about the themes from his 2020 book “How to Make the World Add Up”, which include thinking about the ways statistics and numbers are (mis)used in the media and what we can do about it. Tim is an economist and presenter of the BBC radio show “More or less”.

Welcome to the Coffee Pod! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.   In this episode, Bea is speaking to Hussein Rappel. Hussein has worked on the PDRA on Digital Twins in Infrastructure and Construction project in the Complex Systems Engineering theme.