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Geometric Deep Learning with Joan Bruna & Michael Bronstein - TWiML Talk #90

2017-12-20 · 40 min · episode 90 · 16 entities

episode page audio

Asserted relationships

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    Geometric Deep Learning with Joan Bruna & Michael Bronstein - TWiML Talk #90
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    Feed author/publisher: Sam Charrington
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    Feed category: Tech News
  • → 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 Universit company
    0.62
    evidence rules-v4
    professor at Universit
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • works at Universit company
    0.50
    evidence rules-v4
    professor at Universit
  • works at Universit company
    0.50
    evidence rules-v4
    professor at Universit
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

concepts 5

  • mentioned Science concept
    0.50
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    Feed category: Science
  • mentioned Tech News concept
    0.50
    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned Joan Bruna person
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    Geometric Deep Learning with Joan Bruna & Michael Bronstein - TWiML Talk #90
  • mentioned Sam Charrington person
    0.70
    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 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 Joan Bruna, Assistant Professor at the Courant Institute of Mathematical Sciences and the Center for Data Science at NYU, and Michael Bronstein, associate professor at Università della Svizzera italiana (Switzerland) and Tel Aviv University. Joan and Michael join me after their tutorial on Geometric Deep Learning on Graphs and Manifolds. In our conversation we dig pretty deeply into the ideas behind geometric deep learning and how we can use it in applications like 3D vision, sensor networks, drug design, biomedicine, and recommendation systems. This is definitely a Nerd Alert show, and one that will get your multi-dimensional neurons firing. Enjoy!