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Towards the future

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Conteúdo fornecido por Google DeepMind and Hannah Fry. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Google DeepMind and Hannah Fry ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

AI researchers around the world are trying to create a general purpose learning system that can learn to solve a broad range of problems without being taught how. Koray Kavukcuoglu, DeepMind’s Director of Research, describes the journey to get there, and takes Hannah on a whistle-stop tour of DeepMind’s HQ and its research.

If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at [email protected].

Further reading:
OpenAI: An overview of neural networks and the progress that has been made in AI
Shane Legg, DeepMind co-founder: Measuring machine intelligence at the 2010 Singularity Summit
Shane Legg and Marcus Hutter: Paper on defining machine intelligence
Demis Hassabis: Talk on the history, frontiers and capabilities of AI
Robert Wiblin: Positively shaping the development of artificial intelligence
Asilomar AI Principles
Richard S. Sutton and Andrew G. Barto: Reinforcement Learning: An Introduction

Interviewees: Koray Kavukcuoglu, Director of Research; Trevor Back, Product Manager for DeepMind’s science research; research scientists Raia Hadsell and Murray Shanahan; and DeepMind CEO and co-founder, Demis Hassabis.

Credits:
Presenter: Hannah Fry
Editor: David Prest
Senior Producer: Louisa Field
Producers: Amy Racs, Dan Hardoon
Binaural Sound: Lucinda Mason-Brown
Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)
Commissioned by DeepMind

Please like and subscribe on your preferred podcast platform. Want to share feedback? Or have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.

  continue reading

32 episódios

Artwork

Towards the future

Google DeepMind: The Podcast

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iconCompartilhar
 
Manage episode 241767160 series 2532352
Conteúdo fornecido por Google DeepMind and Hannah Fry. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Google DeepMind and Hannah Fry ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

AI researchers around the world are trying to create a general purpose learning system that can learn to solve a broad range of problems without being taught how. Koray Kavukcuoglu, DeepMind’s Director of Research, describes the journey to get there, and takes Hannah on a whistle-stop tour of DeepMind’s HQ and its research.

If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at [email protected].

Further reading:
OpenAI: An overview of neural networks and the progress that has been made in AI
Shane Legg, DeepMind co-founder: Measuring machine intelligence at the 2010 Singularity Summit
Shane Legg and Marcus Hutter: Paper on defining machine intelligence
Demis Hassabis: Talk on the history, frontiers and capabilities of AI
Robert Wiblin: Positively shaping the development of artificial intelligence
Asilomar AI Principles
Richard S. Sutton and Andrew G. Barto: Reinforcement Learning: An Introduction

Interviewees: Koray Kavukcuoglu, Director of Research; Trevor Back, Product Manager for DeepMind’s science research; research scientists Raia Hadsell and Murray Shanahan; and DeepMind CEO and co-founder, Demis Hassabis.

Credits:
Presenter: Hannah Fry
Editor: David Prest
Senior Producer: Louisa Field
Producers: Amy Racs, Dan Hardoon
Binaural Sound: Lucinda Mason-Brown
Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)
Commissioned by DeepMind

Please like and subscribe on your preferred podcast platform. Want to share feedback? Or have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.

  continue reading

32 episódios

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