World Model · podcast knowledge graph

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

2019-05-20 · 63 min · episode 267 · 14 entities

episode page audio

Asserted relationships

  • 0.68
    evidence rules-v4
    Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
  • → hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • → discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • → discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • → discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • → discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News
  • → hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

Entities found in this episode

concepts 6

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
    0.50
    evidence rules-v4
    Feed category: Tech News
  • 0.45
    evidence rules-v4
    the Future of AI with Max Welling - TWiML Talk
  • 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

companys 4

  • mentioned TWIML company
    0.70
    evidence rules-v4
    Feed author/publisher: TWIML
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Max Welling person
    0.72
    evidence rules-v4
    Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
  • 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
Today we’re joined by Max Welling, research chair in machine learning at the University of Amsterdam, and VP of Technologies at Qualcomm, to discuss:  • Max’s research at Qualcomm AI Research and the University of Amsterdam, including his work on Bayesian deep learning, Graph CNNs and Gauge Equivariant CNNs, power efficiency for AI via compression, quantization, and compilation. • Max’s thoughts on the future of the AI industry, in particular, the relative importance of models, data and com