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Principle-centric AI with Adrien Gaidon - #575

2022-05-23 · 48 min · episode 575 · 16 entities

episode page audio

Asserted relationships

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    Principle-centric AI with Adrien Gaidon - #575
  • → hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • → works at ML company
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    head of ML
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    head of ML
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  • → discusses Technology company
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned ML company
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    evidence rules-v4
    head of ML
  • mentioned Technology company
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    evidence rules-v4
    Feed category: Technology
  • works at ML company
    0.50
    evidence rules-v4
    head of ML
  • works at ML company
    0.50
    evidence rules-v4
    head of ML
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

concepts 5

  • mentioned Science concept
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    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
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    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned Adrien Gaidon person
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    Principle-centric AI with Adrien Gaidon - #575
  • mentioned Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, Adrien expresses a fourth, somewhat contrarian, viewpoint to the three prominent schools of thought that organizations tend to fall into, as well as a great story about how the breakthrough came via an unlikely source. We explore his principle-centric approach to machine learning as well as the role of self-supervised machine learning and synthetic data in this and other research threads. Make sure you’re following along with the entire DCAI series at twimlai.com/go/dcai. The complete show notes for this episode can be found at twimlai.com/go/575