Me, myself and AI

02/22/22 • 35 min

AI doesn’t just exist in the lab, it’s already solving a range of problems in the real world. In this episode, Hannah encounters a realistic recreation of her voice by WaveNet, the voice synthesising system that powers the Google Assistant and helps people with speech difficulties and illnesses regain their voices. Hannah also discovers how ‘deepfake’ technology can be used to improve weather forecasting and how DeepMind researchers are collaborating with Liverpool Football Club, aiming to take sports to the next level.

For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].

Interviewees: DeepMind’s Demis Hassabis, Raia Hadsell, Karl Tuyls, Zach Gleicher & Jackson Broshear; Niall Robinson of the UK Met Office

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:

A generative model for raw audio, DeepMind: https://deepmind.com/blog/article/wavenet-generative-model-raw-audio

WaveNet case study, DeepMind: https://deepmind.com/research/case-studies/wavenet

Using WaveNet technology to reunite speech-impaired users with their original voices, DeepMind:| https://deepmind.com/blog/article/Using-WaveNet-technology-to-reunite-speech-impaired-users-with-their-original-voices

Project Euphonia, Google Research: https://sites.research.google/euphonia/about/

Nowcasting the next hour of rain, DeepMind: https://deepmind.com/blog/article/nowcasting

Now DeepMind is using AI to transform football, WIRED: https://www.wired.co.uk/article/deepmind-football-liverpool-ai

Advancing sports analytics through AI, DeepMind: https://deepmind.com/blog/article/advancing-sports-analytics-through-ai

MetOffice, BBC: https://www.metoffice.gov.uk/

The village ‘washed on to the map’, BBC: https://www.bbc.co.uk/news/uk-england-cornwall-28523053

Michael Fish got the storm of 1987 wrong, Sky News:

https://news.sky.com/story/michael-fish-got-the-storm-of-1987-wrong-but-modern-supercomputers-may-have-missed-it-too-11076659#:~:text=In%20a%20lunchtime%20broadcast%20on,%2C%22%20he%20confidently%20told%20viewers

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!

For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].

Interviewees: DeepMind’s Demis Hassabis, Raia Hadsell, Karl Tuyls, Zach Gleicher & Jackson Broshear; Niall Robinson of the UK Met Office

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:

A generative model for raw audio, DeepMind: https://deepmind.com/blog/article/wavenet-generative-model-raw-audio

WaveNet case study, DeepMind: https://deepmind.com/research/case-studies/wavenet

Project Euphonia, Google Research: https://sites.research.google/euphonia/about/

Nowcasting the next hour of rain, DeepMind: https://deepmind.com/blog/article/nowcasting

Now DeepMind is using AI to transform football, WIRED: https://www.wired.co.uk/article/deepmind-football-liverpool-ai

Advancing sports analytics through AI, DeepMind: https://deepmind.com/blog/article/advancing-sports-analytics-through-ai

MetOffice, BBC: https://www.metoffice.gov.uk/

The village ‘washed on to the map’, BBC: https://www.bbc.co.uk/news/uk-england-cornwall-28523053

Michael Fish got the storm of 1987 wrong, Sky News:

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!

Previous Episode

AI for science

Step inside DeepMind's laboratories and you'll find researchers studying DNA to understand the mysteries of life, seeking new ways to use nuclear energy, or putting AI to the test in mind-bending areas of maths. In this episode, Hannah meets Pushmeet Kohli, the head of science at DeepMind, to understand how AI is accelerating scientific progress. Listeners also join Hannah on a [virtual] safari in the Serengeti in East Africa to find out how researchers are using AI to conserve wildlife in one of the world’s most spectacular ecosystems.

For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].

Interviewees: DeepMind’s Demis Hassabis, Pushmeet Kohli & Sarah Jane Dunn; Meredith Palmer of the Princeton University

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:

Using AI for scientific discovery, DeepMind: https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery

DeepMind’s Demis Hassabis on its breakthrough scientific discoveries, WIRED: https://www.youtube.com/watch?v=2WRow9FqUbw

The AI revolution in scientific research, The Royal Society: https://royalsociety.org/-/media/policy/projects/ai-and-society/AI-revolution-in-science.pdf

DOE Explains...Tokamaks, Office of Science: https://www.energy.gov/science/doe-explainstokamaks

How AI Accidentally Learned Ecology by Playing StarCraft, Discover: https://www.discovermagazine.com/technology/how-ai-accidentally-learned-ecology-by-playing-starcraft

Google AI can identify wildlife from trap-camera footage, VentureBeat:
https://venturebeat.com/2019/12/17/googles-ai-can-identify-wildlife-from-trap-camera-footage-with-up-to-98-6-accuracy/

Snapshot Serengeti, Zooniverse:
https://www.zooniverse.org/projects/zooniverse/snapshot-serengeti

The Human Genome Project, National Human Genome Research Institute: https://www.genome.gov/human-genome-project

Exploring the beauty of pure mathematics in novel ways, DeepMind: https://deepmind.com/blog/article/exploring-the-beauty-of-pure-mathematics-in-novel-ways

Predicting gene expression with AI, DeepMind: https://deepmind.com/blog/article/enformer

Using machine learning to accelerate ecological research, DeepMind: https://deepmind.com/blog/article/using-machine-learning-to-accelerate-ecological-research

Accelerating fusion science through learned plasma control, DeepMind: https://deepmind.com/blog/article/Accelerating-fusion-science-through-learned-plasma-control

Simulating matter on the quantum scale with AI, DeepMind: https://deepmind.com/blog/article/Simulating-matter-on-the-quantum-scale-with-AI

How AI is helping the natural sciences, Nature: https://www.nature.com/articles/d41586-021-02762-6

Inside DeepMind's epic mission to solve science's trickiest problem, WIRED: https://www.wired.co.uk/article/deepmind-protein-folding

How Artificial Intelligence Is Changing Science, Quanta:

https://www.quantamagazine.org/how-artificial-intelligence-is-changing-science-20190311/

Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whet...

Next Episode

Fair for all

AI needs to benefit everyone, not just those who build it. But fulfilling this promise requires careful thought before new technologies are built and released into the world. In this episode, Hannah delves into some of the most pressing and difficult ethical and social questions surrounding AI today. She explores complex issues like racial and gender bias and the misuse of AI technologies, and hears why diversity and representation is vital for building technology that works for all.

For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].

Interviewees: DeepMind’s Sasha Brown, William Isaac, Shakir Mohamed, Kevin Mckee & Obum Ekeke

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:

What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias, The Verge: https://www.theverge.com/21298762/face-depixelizer-ai-machine-learning-tool-pulse-stylegan-obama-bias

Tuskegee Syphilis Study, Wikipedia: https://en.wikipedia.org/wiki/Tuskegee_Syphilis_Study

Ethics & Society, DeepMind: https://deepmind.com/about/ethics-and-society

Row over AI that 'identifies gay faces', BBC: https://www.bbc.co.uk/news/technology-41188560

The Trevor Project: https://www.thetrevorproject.org/

AI takes root, helping farmers identify diseased plants, Google: https://www.blog.google/technology/ai/ai-takes-root-helping-farmers-identity-diseased-plants/

How Can You Use Technology to Support a Culture of Inclusion and Diversity?, myHRfuture: https://www.myhrfuture.com/blog/2019/7/16/how-can-you-use-technology-to-support-a-culture-of-inclusion-and-diversity

Scholarships at DeepMind: https://www.deepmind.com/scholarships

AI, Ain’t I a Woman? Joy Buolamwini, YouTube: https://www.youtube.com/watch?v=QxuyfWoVV98

How to be Human in the Age of the Machine, Hannah Fry: https://royalsociety.org/grants-schemes-awards/book-prizes/science-book-prize/2018/hello-world/

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!