About this episode
<p>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.</p><p> </p><p>For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com. </p><p> </p><p>Interviewees: DeepMind’s Demis Hassabis, Raia Hadsell, Karl Tuyls, Zach Gleicher & Jackson Broshear; Niall Robinson of the UK Met Office</p><p> </p><p><strong>Credits</strong></p><p>Presenter: Hannah Fry</p><p>Series Producer: Dan Hardoon</p><p>Production support: Jill Achineku</p><p>Sounds design: Emma Barnaby</p><p>Music composition: Eleni Shaw</p><p>Sound Engineer: Nigel Appleton</p><p>Editor: David Prest</p><p>Commissioned by DeepMind</p><p> </p><p>Thank you to everyone who made this season possible! </p><p> </p><p><strong>Further reading: </strong></p><p>A generative model for raw audio, DeepMind: <a href="https://deepmind.com/blog/article/wavenet-generative-model-raw-audio">https://deepmind.com/blog/article/wavenet-generative-model-raw-audio</a></p><p>WaveNet case study, DeepMind: <a href="https://deepmind.com/research/case-studies/wavenet">https://deepmind.com/research/case-studies/wavenet</a></p><p>Using WaveNet technology to reunite speech-impaired users with their original voices, DeepMind:| <a href="https://deepmind.com/blog/article/Using-WaveNet-technology-to-reunite-speech-impaired-users-with-their-original-voices">https://deepmind.com/blog/article/Using-WaveNet-technology-to-reunite-speech-impaired-users-with-their-original-voices</a></p><p>Project Euphonia, Google Research: <a href="https://sites.research.google/euphonia/about/">https://sites.research.google/euphonia/about/</a></p><p>Nowcasting the next hour of rain, DeepMind: <a href="https://deepmind.com/blog/article/nowcasting">https://deepmind.com/blog/article/nowcasting</a></p><p>Now DeepMind is using AI to transform football, WIRED: <a href="https://www.wired.co.uk/article/deepmind-football-liverpool-ai">https://www.wired.co.uk/article/deepmind-football-liverpool-ai</a></p><p>Advancing sports analytics through AI, DeepMind: <a href="https://deepmind.com/blog/article/advancing-sports-analytics-through-ai">https://deepmind.com/blog/article/advancing-sports-analytics-through-ai</a></p><p>MetOffice, BBC: <a href="https://www.metoffice.gov.uk/">https://www.metoffice.gov.uk/</a></p><p>The village ‘washed on to the map’, BBC: <a href="https://www.bbc.co.uk/news/uk-england-cornwall-28523053">https://www.bbc.co.uk/news/uk-england-cornwall-28523053</a></p><p>Michael Fish got the storm of 1987 wrong, Sky News: </p><p><a href="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">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</a></p><p>.</p> <p><p>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! </p><p> </p></p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>