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Activeloop with Davit Buniatyan

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Manage episode 325475070 series 2626943
Innhold levert av Eric Anderson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Eric Anderson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Eric Anderson (@ericmander) meets with Davit Buniatyan (@DBuniatyan) of Activeloop, the database for AI. Davit was inspired to found Activeloop while working on large datasets in a neuroscience research lab at Princeton. Powering the technology at Activeloop is Hub, the open-source dataset format for AI applications. Join us to learn how Hub promises to enhance and expand various verticals in deep learning.

In this episode we discuss:

  • Reconfiguring traditional ML tooling for the cloud
  • Connectomics - working with thin slices of a mouse brain with neuroscientist Sebastian Seung
  • Choosing between university, a start-up, and open-source
  • Davit’s original product, that ran computation on crypto mining GPUs on a distributed scale
  • Focusing on different data modalities for computer vision

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People mentioned:

Other episodes:

  continue reading

83 episoder

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Activeloop with Davit Buniatyan

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Manage episode 325475070 series 2626943
Innhold levert av Eric Anderson. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Eric Anderson eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Eric Anderson (@ericmander) meets with Davit Buniatyan (@DBuniatyan) of Activeloop, the database for AI. Davit was inspired to found Activeloop while working on large datasets in a neuroscience research lab at Princeton. Powering the technology at Activeloop is Hub, the open-source dataset format for AI applications. Join us to learn how Hub promises to enhance and expand various verticals in deep learning.

In this episode we discuss:

  • Reconfiguring traditional ML tooling for the cloud
  • Connectomics - working with thin slices of a mouse brain with neuroscientist Sebastian Seung
  • Choosing between university, a start-up, and open-source
  • Davit’s original product, that ran computation on crypto mining GPUs on a distributed scale
  • Focusing on different data modalities for computer vision

Links:

People mentioned:

Other episodes:

  continue reading

83 episoder

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