The Turing Podcast

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) can compete and work together to look at different objectives simultaneously.

26:20 | Collective vs. Convergence-Based Algorithms

Why maintaining diversity in a population is more effective than focusing on a single "perfect" solution too early.

Diversity provides better and more informed choices with the data at hand.

28:00 | Success Stories: TVOS and Whale Protection

TheTVOS (Theyr Voyage Optimisation Software) and its real-world impact.

The importance of protecting marine life and megafauna.

29:50 | Navigating the Environment

The difficulty of rerouting massive ships and the role of deep learning vs. genetic algorithms in icy environments.

32:50 | The Arctic and New Trade Routes

How melting sea ice is opening new routes and the resulting need for specialized "ice-class" vessels.

35:50 | Industry Adoption and Client Surprises

Overcoming the lack of maritime background to deliver results that surprise industry veterans.

38:30 | The Future: Power Prediction Models

What’s next for the field, including more advanced predictive modelling.

41:00 | Summary and the Power of Collaboration

A hopeful look at how the Alan Turing Institute acts as a convening power for sustainability research.

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