• E1: Marc Deisenroth on AI for science and the future of work

  • Feb 16 2024
  • Duración: 1 h y 1 m
  • Podcast

E1: Marc Deisenroth on AI for science and the future of work Por arte de portada

E1: Marc Deisenroth on AI for science and the future of work

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  • Resumen

  • How can AI help mitigate the climate crisis? What are the advantages of simple models such as Gaussian Processes? And what will AI mean for the future of work? In this episode, we talk with Professor Marc Deisenroth, DeepMind Chair of Machine Learning and AI at UCL, and Deputy Director of the UCL Centre for Artificial Intelligence, where he leads the Statistical Machine Learning Group. His research interests centre around data-efficient machine learning, probabilistic modelling and autonomous decision-making with applications in climate/weather science and robotics.


    Date of episode recording: 2023-10-10T00:00:00Z
    Duration: 01:01:21
    Language of episode: English
    Presenter: Reuben Adams
    Guests: Professor Marc Deisenroth
    Producer: Reuben Adams
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