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Philosophy of Intelligence with Matthew Crosby - TWiML Talk #91

2017-12-21 · 30 min · episode 91 · 16 entities

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Entities found in this episode

companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Imperial College London company
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    researcher at Imperial College London
  • mentioned Technology company
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    Feed category: Technology
  • works at Imperial College London company
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    researcher at Imperial College London
  • works at Imperial College London company
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    researcher at Imperial College London
  • discusses Technology company
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

concepts 5

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

persons 3

  • mentioned Matthew Crosby person
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    Philosophy of Intelligence with Matthew Crosby - TWiML Talk #91
  • mentioned Sam Charrington person
    0.70
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
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    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized an impromptu roundtable on Building AI Products, and met a bunch of great people, including some former TWiML Talk guests.This time around i'm joined by Matthew Crosby, a researcher at Imperial College London, working on the Kinds of Intelligence Project. Matthew joined me after the NIPS Symposium of the same name, an event that brought researchers from a variety of disciplines together towards three aims: a broader perspective of the possible types of intelligence beyond human intelligence, better measurements of intelligence, and a more purposeful analysis of where progress should be made in AI to best benefit society. Matthew’s research explores intelligence from a philosophical perspective, exploring ideas like predictive processing and controlled hallucination, and how these theories of intelligence impact the way we approach creating artificial intelligence. This was a very interesting conversation, i'm sure you’ll enjoy.