Further reading: Natural forests of the world: paper, data and benchmarks Forest loss drivers: paper, summary from WRI, and blog from GFW Forest loss drivers code: Google Earth Engine; at WRI; at GFW; or Zenodo. Deep learning based remote sensing (open source): Jeo, GeeFlow Species mapping paper: Arxiv Google resources: Google Earth Engine. Agri with Google, wildlife cameras Perch: code, paper Perch x coral reefs: Blog Agile Modelling: paper, code DolphinGemma: blog Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode, host Hannah Fry is joined by Max Jaderberg and Rebecca Paul of Isomorphic Labs to explore the future of drug discovery in the age of AI. They discuss how new technology, particularly AlphaFold 3, is revolutionizing the field by predicting the structure of life’s molecules, paving the way for faster and more efficient drug discovery. They dig into the immense complexities of designing new drugs: How do you find the right molecular key for the right biological lock? How can AI help scientists understand disease better and overcome challenges like drug toxicity? And what about the diseases that are currently considered “undruggable”? Finally, they explore the ultimate impact of this technology, from the future of personalised medicine to the ambitious goal of being able to eventually design treatments for all diseases. Further reading: AlphaFold 3: https://www.nature.com/articles/s41586-024-07487-w AlphaFold Server: https://alphafoldserver.com/ Isomorphic Labs: https://www.isomorphiclabs.com/ AlphaFold 3 code and weights: https://github.com/google-deepmind/alphafold3 Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Audio engineer: Richard Courtice Production Manager: Dan Lazard Studio Manager: Nicholas Duke Video Director: Bernardo Resende Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode, Hannah is joined by Carolina Parada, Senior Director and Head of Robotics at Google DeepMind. They explore the recent leap forward in robotic capabilities, highlighting advancements in multimodal understanding and embodied reasoning, which enable robots to interact with the physical world with unprecedented generality. They dig into the two-system approach - ‘slow and fast thinking‘ - that enables both complex reasoning and rapid, reactive movements. Using examples from robots learning dexterous tasks such as tying shoelaces to adapting to entirely new scenarios in real-time, Parada highlights how key breakthroughs in understanding, dexterity, and control are now coming together to rapidly advance robotics unlike ever before. Further reading/viewing: Gemini Robotics Advances in robot dexterity Gemini Robotics x YouTube Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music: Eleni Shaw Audio Engineer: Richard Courtice Production Manager: Dan Lazard Video Studio Production: Nicholas Duke Video Director: Bernardo Resende Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode, Professor Hannah Fry interviews Joelle Barral, Senior Director of Research at Google DeepMind, about AI in healthcare. They discuss existing AI applications including image analysis for diabetic retinopathy and the expansion of diagnostic tools as a result of multi-modal models. The conversation highlights AI's potential to improve healthcare delivery, personalize treatment, expand access worldwide, and ultimately, bring back the joy of practicing medicine. Further reading: Med-Gemini AMIE Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music: Eleni Shaw Audio Engineer: Richard Courtice Production Manager: Dan Lazard Video Studio Production: Nicholas Duke Video Director: Bernardo Resende Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode, Hannah is once again joined by Murray Shanahan, Professor of Cognitive Robotics at Imperial College London and Principal Scientist at Google DeepMind, for a philosophical deep dive on AI. They explore everything from consciousness and metacognition in animals, to symbolic AI and neural networks. Murray also shares insights into his involvement with the film 'Ex Machina' and discusses the idea of reasoning, anthropomorphism, and the future of AI. Further reading / listening: Toward the future, S1 Ep 7: https://youtu.be/yf31XT1G1RQ?si=6mAEsQhKwKPWk9oH ___ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Audio engineer: Richard Courtice Production Manager: Dan Lazard Video Director: Bernardo Resende Video Editor: Alex Baro Cayetano, Bilal Merhi Audio Engineer: Richard Courtice Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind ___ Subscribe to our channel to watch every episode: https://www.youtube.com/@googledeepmind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode of Google DeepMind: The Podcast, VP of Reinforcement Learning, David Silver, describes his vision for the future of AI, exploring the concept of the "era of experience" versus the current "era of human data". Using AlphaGo and AlphaZero as examples, he highlights how these systems surpassed human capabilities by engaging in reinforcement learning without prior human knowledge. This approach contrasts with large language models, which depend on human data and feedback. Silver emphasizes the need to explore this path to drive AI progress and achieve artificial superintelligence. Timestamps 00:00 Introduction 01:50 Era of experience 03:45 AlphaZero 10:19 Move 37 15:20 Reinforcement learning and human feedback 24:30 AlphaProof 29:50 Math Olympiads 35:00 Experience based methods 42:56 Hannah's reflections 44:00 Fan Hui joins ___ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Series Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music Composition: Eleni Shaw Audio Engineer: Richard Courtice Production Manager: Dan Lazard Video Director and Editor: Bernardo Resende Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In our final episode for the year, we explore Project Astra, a research prototype exploring future capabilities of a universal AI assistant that can understand the world around you. Host Hannah Fry is joined by Greg Wayne, Director in Research at Google DeepMind. They discuss the inspiration behind the research prototype, its current strengths and limitations, as well as potential future use cases. Hannah even gets the chance to put Project Astra's multilingual skills to the test. Further reading / listening: Gemini 2.0 Project Astra Decoding Google Gemini with Jeff Dean Gaming, Goats & General Intelligence with Frederic Besse Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Bernardo Resende Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode, Hannah is joined by Oriol Vinyals, VP of Drastic Research and Gemini co-lead. They discuss the evolution of agents from single-task models to more general-purpose models capable of broader applications, like Gemini. Vinyals guides Hannah through the two-step process behind multi modal models: pre-training (imitation learning) and post-training (reinforcement learning). They discuss the complexities of scaling and the importance of innovation in architecture and training processes. They close on a quick whirlwind tour of some of the new agentic capabilities recently released by Google DeepMind. Note: To see all of the full length demos, including unedited versions, and other videos related to Gemini 2.0 head to YouTube. Future reading/watching: Gemini 2.0 Decoding Google Gemini with Jeff Dean Gaming, Goats & General Intelligence with Frederic Besse Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Bernardo Resende Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind — Subscribe to our YouTube channel Find us on X Follow us on Instagram Add us on Linkedin Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

There is broad consensus across the tech industry, governments and society, that as artificial intelligence becomes more embedded in every aspect of our world, regulation will be essential. But what does this look like? Can it be adopted without stifling innovation? Are current frameworks presented by government leaders headed in the right direction? Join host Hannah Fry as she discusses these questions and more with Nicklas Lundblad, Director of Public Policy at Google DeepMind. Nicklas emphasises the importance of a nuanced approach to regulation, focusing on adaptability and evidence-based policymaking. He highlights the complexities of assessing risk and reward in emerging technologies, advocating for a focus on harm reduction. Further reading/watching: AI Principles: https://ai.google/responsibility/principles/ Frontier Model Forum: https://blog.google/outreach-initiatives/public-policy/google-microsoft-openai-anthropic-frontier-model-forum/ Ethics of AI assistants with Iason Gabriel https://youtu.be/aaZc-as-soA?si=0ThbYY30FlO31kKQ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Bernardo Resende Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

NotebookLM is a research assistant powered by Gemini that draws on expertise from storytelling to present information in an engaging way. It allows users to upload their own documents and generate insights, explanations, and—more recently—podcasts. This feature, also known as audio overviews, has captured the imagination of millions of people worldwide, who have created thousands of engaging podcasts ranging from personal narratives to educational explainers using source materials like CVs, personal journals, sales decks, and more. Join Raiza Martin and Steven Johnson from Google Labs, Google’s testing ground for products, as they guide host Hannah Fry through the technical advancements that have made NotebookLM possible. In this episode they'll explore what it means to be interesting, the challenges of generating natural-sounding speech, as well as exciting new modalities on the horizon. Further reading Try NotebookLM here Read about the speech generation technology behind Audio Overveiws: https://deepmind.google/discover/blog/pushing-the-frontiers-of-audio-generation/ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Daniel Lazard Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Alex Baro Cayetano, Daniel Lazard Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Join Professor Hannah Fry at the AI for Science Forum for a fascinating conversation with Google DeepMind CEO Demis Hassabis. They explore how AI is revolutionizing scientific discovery, delving into topics like the nuclear pore complex, plastic-eating enzymes, quantum computing, and the surprising power of Turing machines. The episode also features a special 'ask me anything' session with Nobel Laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper, who answer audience questions about the future of AI in science. Watch the episode here, and catch up on all of the sessions from the AI for Science Forum here. Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These experiences and interactions may soon become part of our everyday reality. In this episode, host Hannah Fry and Google DeepMind Senior Staff Research Scientist Iason Gabriel discuss the ethical implications of advanced AI assistants. Drawing from Iason's recent paper, they examine value alignment, anthropomorphism, safety concerns, and the potential societal impact of these technologies. Timecodes: 00:00 Intro 01:13 Definition of AI assistants 04:05 A utopic view 06:25 Iason’s background 07:45 The Ethics of Advanced AI Assistants paper 13:06 Anthropomorphism 14:07 Turing perspective 15:25 Anthropomorphism continued 20:02 The value alignment question 24:54 Deception 27:07 Deployed at scale 28:32 Agentic inequality 31:02 Unfair outcomes 34:10 Coordinated systems 37:10 A new paradigm 38:23 Tetradic value alignment 41:10 The future 42:41 Reflections from Hannah Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Daniel Lazard Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Production support: Mo Dawoud Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join research lead, Irina Jurenka, and Professor Hannah Fry as they explore the complicated yet exciting world of AI in education. Further reading: Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Daniel Lazard Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Production support: Mo Dawoud Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

In this episode, Professor Hannah Fry sits down with Pushmeet Kohli, VP of Research at Google DeepMind to discuss AI’s impact on scientific discovery. They go on a whirlwind tour of scientific projects, touching on recent breakthroughs in AlphaFold, material science, weather forecasting, and mathematics to better understand how AI can enhance our scientific understanding of the world. Further reading: Millions of new materials discovered with deep learning GraphCast: AI model for faster and more accurate global weather forecasting AlphaFold: A breakthrough unfolds (S2,E1) AlphaGeometry: An Olympiad-level AI system for geometry AI achieves silver-medal standard solving International Mathematical Olympiad problems Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Production support: Mo Dawoud Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Games are a very good training ground for agents. Think about it. Perfectly packaged, neatly constrained environments where agents can run wild, work out the rules for themselves, and learn how to handle autonomy. In this episode, Research Engineering Team Lead, Frederic Besse, joins Hannah as they discuss important research like SIMA (Scalable Instructable Multiworld Agent) and what we can expect from future agents that can understand and safely carry out a wide range of tasks - online and in the real world. Further reading: SIMA RTX & RT2 Interactive Agents Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Production support: Mo Dawoud Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Professor Hannah Fry is joined by Jeff Dean, one of the most legendary figures in computer science and chief scientist of Google DeepMind and Google Research. Jeff was instrumental to the field in the late 1990s, writing the code that transformed Google from a small startup into the multinational company it is today. Hannah and Jeff discuss it all - from the early days of Google and neural networks, to the long term potential of multi-modal models like Gemini. Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Production support: Mo Dawoud Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Building safe and capable models is one of the greatest challenges of our time. Can we make AI work for everyone? How do we prevent existential threats? Why is alignment so important? Join Professor Hannah Fry as she delves into these critical questions with Anca Dragan, lead for AI safety and alignment at Google DeepMind. For further reading, search "Introducing the Frontier Safety Framework" and "Evaluating Frontier Models for Dangerous Capabilities". Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Production support: Mo Dawoud Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Professor Hannah Fry is joined by Google DeepMind's senior research director Douglas Eck to explore AI's capacity for true creativity. They delve into the complexities of defining creativity, the challenges of AI generated content and attribution, and whether AI can help us to connect with each other in new and meaningful ways. Want to watch the full episode? Subscribe to Google DeepMind's YouTube page and stay tuned for new episodes. Further reading: Veo Imagen SynthID An update on web publisher controls (Google-Extended) Social channels to follow for new content: Instagram X Linkedin Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Series Editor: Rami Tzabar, TellTale Studios Commissioner and Producer: Emma Yousif Production support: Mo Dawoud Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Darren Carikas Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

It has been a few years since Google DeepMind CEO and co-founder, Demis Hassabis, and Professor Hannah Fry caught up. In that time, the world has caught on to artificial intelligence—in a big way. Listen as they discuss the recent explosion of interest in AI, what Demis means when he describes chatbots as ‘unreasonably effective’, and the unexpected emergence of capabilities like conceptual understanding and abstraction in recent generative models. Demis and Hannah also explore the need for rigorous AI safety measures, the importance of responsible AI development, and what he hopes for as we move closer towards artificial general intelligence. Want to watch the full episode? Subscribe to Google DeepMind's YouTube page and stay tuned for new episodes. Further reading: Gemini Project Astra Google I/O 2024 Scaling Language Models: Methods, Analysis & Insights from Training Gopher LaMDA: our breakthrough conversation technology Social channels to follow for new content: Instagram X Linkedin Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Series Editor: Rami Tzabar, TellTale Studios Commissioner and Producer: Emma Yousif Production support: Mo Dawoud Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Darren Carikas Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! 

Hannah wraps up the series by meeting DeepMind co-founder and CEO, Demis Hassabis. In an extended interview, Demis describes why he believes AGI is possible, how we can get there, and the problems he hopes it will solve. Along the way, he highlights the important role of consciousness and why he’s so optimistic that AI can help solve many of the world’s major challenges. As a final note, Demis shares the story of a personal meeting with Stephen Hawking to discuss the future of AI and discloses Hawking’s parting message. For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com. Interviewee: Deepmind co-founder and CEO, Demis Hassabis Credits Presenter: Hannah Fry Series Producer: Dan Hardoon Production support: Jill Achineku Sounds design: Emma Barnaby Music composition: Eleni Shaw Sound Engineer: Nigel Appleton Editor: David Prest Commissioned by DeepMind Thank you to everyone who made this season possible! Further reading: DeepMind, The Podcast: https://deepmind.com/blog/article/welcome-to-the-deepmind-podcast DeepMind’s Demis Hassabis on its breakthrough scientific discoveries, WIRED: https://www.youtube.com/watch?v=2WRow9FqUbw Riemann hypothesis, Wikipedia: https://en.wikipedia.org/wiki/Riemann_hypothesis Using AI to accelerate scientific discovery by Demis Hassabis, Kendrew Lecture 2021: https://www.youtube.com/watch?v=sm-VkgVX-2o Protein Folding & the Next Technological Revolution by Demis Hassabis, Bloomberg: https://www.youtube.com/watch?v=vhd4ENh5ON4 The Algorithm, MIT Technology Review: https://forms.technologyreview.com/newsletters/ai-the-algorithm/ Machine learning resources, The Royal Society: https://royalsociety.org/topics-policy/education-skills/teacher-resources-and-opportunities/resources-for-teachers/resources-machine-learning/ How to get empowered, not overpowered, by AI, TED: https://www.youtube.com/watch?v=2LRwvU6gEbA Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!