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Indhold leveret af Researchers across the Microsoft research community. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Researchers across the Microsoft research community eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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NeurIPS 2024: AI for Science with Chris Bishop

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Manage episode 455368728 series 2514544
Indhold leveret af Researchers across the Microsoft research community. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Researchers across the Microsoft research community eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this special edition of the podcast, Technical Fellow and Microsoft Research AI for Science Director Chris Bishop joins guest host Eliza Strickland in the Microsoft Booth at the 38th annual Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, British Columbia, to talk about deep learning’s potential to improve the speed and scale at which scientific advancements can be made.

  continue reading

200 episoder

Artwork
iconDel
 
Manage episode 455368728 series 2514544
Indhold leveret af Researchers across the Microsoft research community. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Researchers across the Microsoft research community eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this special edition of the podcast, Technical Fellow and Microsoft Research AI for Science Director Chris Bishop joins guest host Eliza Strickland in the Microsoft Booth at the 38th annual Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, British Columbia, to talk about deep learning’s potential to improve the speed and scale at which scientific advancements can be made.

  continue reading

200 episoder

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