The Turing Podcast is an exciting podcast from The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
The Turing Podcast
Claim This Podcastby The Alan Turing Institute
5.0(13 reviews)
68 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇬🇧
35
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality34
Social0
YouTube0
Engagement90
Podcast Overview
The Turing Podcast is an exciting podcast from The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
Language
🇺🇲
Publishing Since
3/31/2020
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35
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality34
Social0
YouTube0
Engagement90
5
Excellent Areas
1
Good Performance
13
Growth Opportunities
excellent
Episode Length
9 minutes
Performing excellently!
good
Show Notes Quality
3.0/5
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needs improvement
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Every 30 days
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Recent Episodes
July 22, 2026
Weathering Change: FastNet and the Future of UK Forecasting
In an era of increasingly unpredictable extreme weather, getting the forecast right is no longer just about what you need to wear during your morning commute. It’s about national resilience, food security, and technological sovereignty. In this episode, host Amelia Jabry is joined by Dr Scott Hosking (Mission Director for Environmental Forecasting at the Alan Turing Institute) and Professor Kirstine Dale (Chief AI Officer at the Met Office) to introduce FastNet: a groundbreaking, home-grown AI weather model developed right here in the UK. Together, they demystify how FastNet uses 3D geometry (specifically, an icosahedral mesh) to map our round planet, how it spots patterns across 40 years of climate data. They also explore why we still desperately need physics to prepare for unprecedented ‘Grey Swan’ climate events like a looming Super El Niño. They tackle the vital questions of making our AI sustainable, the critical importance of a diverse AI workforce, and why the UK must maintain its own independent weather modelling capabilities rather than relying on global tech giants. Read more about FastNet here: https://www.turing.ac.uk/research/research-projects/fastnet Chapter markers 0:00 Intro 1:04 Introducing Scott Hosking and Kirsten Dale 1:50 The Raucous Revolution in weather forecasting of 2022 04:17 how AI weather prediction models work and how they differ from traditional weather prediction models 05:15 Why traditional physics based models still remain important in forecasting 07:00 The training data AI models rely on 7:50 The uses of AI weather models and the advantages of being computationally light 09:16 Turing’s partnership with the MET Office – why is the weather important? 11:50 Introducing Fastnet: How cutting-edge weather models can tackle climate insecurities 12:30 How AI weather models differ from LLMs 13:15 How Fastnet uses an icosahedral mesh to map the Earth. 16:05 Grey Swan events and Super El Niño 19:40Comparators to Fastnet and introducing a regional model for the uk 20:30 Improving the accuracy of fastnet 24:55 Green AI 26:30 The importance of diversity in AI modelling 28:30 Why it is important for the UK to have its own weather model 30:30 The future of Fastnet 32:13 Outro and find out more
June 16, 2026
Cleared for Takeoff: Navigating the Future of AI Air Traffic Control
Join Amelia, Andy and Ben as they discuss the challenges and opportunities of building an AI system to assist ATCOs in one of the most safety-critical industries in the world.
February 17, 2026
The Survival of the Fittest Route: Genetic Algorithms in Shipping and Sustainability
How can the study of ant colonies and evolutionary theory help us ensure the resilience and sustainability of global shipping? In this episode, host Amelia Jabry is joined by Professor Adam Sobey (Mission Director for Sustainability at the Alan Turing Institute) and Senior Applied Scientist Dr. Przemyslaw (Slaw) Grudniewski from Theyr. Together, they explore the ‘evolution’ of shipping route optimisation - from early concepts proposed by Alan Turing to cutting-edge Multi-Objective Genetic Algorithms. Discover how these ‘survival of the fittest’ models are being used to navigate the complex world of charter party agreements, fuel efficiency, and autonomous vessels. They also dive into the environmental impact of rerouting, discussing how a 1% change in fuel consumption can protect vital megafauna like whales, and what the melting Arctic means for the future of global trade. Chapter Markers 0:30 | Co-Host Introduction: Professor Adam Sobey Introduction of Adam Sobey, Mission Director for Sustainability at the Alan Turing Institute and Professor at the University of Southampton. 1:20 | Guest Introduction: Dr. Przemyslaw (Slaw) Grudniewski Introduction of Slava, Senior Applied Scientist atTheyr The history of Adam and Slava’s collaboration, starting from Slava's PhD in 2015. 4:30 | The Path to Genetic Algorithms Why the team focused on genetic algorithms, including the influence of a talk at the University of Bristol on co-evolution mechanisms. 5:00 | Why Shipping Matters: The Ever Given Incident The significance of global trade by sea (80-90%) and the 2021 Suez Canal blockage by theEver Given. 6:20 | The Sustainability Imperative Shipping currently accounts for 2-3% of world emissions, emphasizing the massive need for reduced costs and improved sustainability. 7:15 | Defining Genetic Algorithms Explaining unsupervised learning algorithms based on "survival of the fittest" and evolutionary mechanics. 8:40 | Applying Evolutionary Principles to Route Optimisation How routes are treated as individuals that create "offspring" through crossover and mutation. 10:20 | Multi-Objective Genetic Algorithms "There is no one best route"—balancing conflicting goals like voyage time vs. fuel consumption. Explaining why multi-objective approaches provide a set of optimal solutions rather than a single answer. 11:00 | Charter Party Agreements & Alternative Fuels The complexity of "rental agreements" (charter parties) and the shift toward net-zero fuels like ammonia, hydrogen, and nuclear. 12:20 | The Rise of Fully Autonomous Vessels Navigating the challenges of crewless ships and how they allow for real-time route adjustments. 13:30 | Sustainability Benefits of Autonomy Removing crew-related weight can lead to estimated fuel reductions of around 20%. 14:40 | Safety and Regulation The role of the Alan Turing Institute and Lloyd’s Register in developing standards and validation for autonomous systems. 16:15 | Risks: Cyber Threats and Bad Actors Addressing piracy, cybersecurity risks, and the safety of alternative fuel sources. 18:00 | Why Genetic Algorithms Win Comparing genetic algorithms against local search methods like A* and Dijkstra for complex, real-world problems. 19:00 | Top Performance: cMLSGA ThecMLSGA (Convolutional Multi-Level Selection Genetic Algorithm) and its 7-8% improvement over other models. This represents a saving of 50 to 380 tonnes of fuel per day for large vessels. 20:20 | History: From Alan Turing to Today How the field traces back to Turing’s 1948 ideas of "child-like" intelligence that learns and evolves. 22:20 | Ants, Tribes, and Co-Evolution Using the study of ant colonies and human tribal behaviour to understand collective fitness and reproduction. 23:50 | Scaling Solutions through Collectives Applying the concept of "collectives" to solve large-scale optimisation problems through collaboration. 25:25 | Multi-Level Selection How "groups of individuals" (collectives
68 total episodes available
Recent guests on The Turing Podcast
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Nicholas Butts
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Deep-dive analytics for The Turing Podcast
Frequently asked questions
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- What is The Turing Podcast?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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