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Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500

2021-07-12 · 42 min · episode 500 · 16 entities

episode page audio

Asserted relationships

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    Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
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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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  • mentioned AI company
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    head of AI
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    Feed category: Technology
  • works at AI company
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    head of AI
  • works at AI company
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    head of AI
  • discusses Technology company
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

concepts 5

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

persons 3

  • mentioned Jeff Gehlhaar person
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    Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
  • 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
Today we’re joined by a friend of the show Jeff Gehlhaar, VP of technology and the head of AI software platforms at Qualcomm.  In our conversation with Jeff, we cover a ton of ground, starting with a bit of exploration around ML compilers, what they are, and their role in solving issues of parallelism. We also dig into the latest additions to the Snapdragon platform, AI Engine Direct, and how it works as a bridge to bring more capabilities across their platform, how benchmarking works in the context of the platform, how the work of other researchers we’ve spoken to on compression and quantization finds its way from research to product, and much more!  After you check out this interview, you can look below for some of the other conversations with researchers mentioned.  The complete show notes for this episode can be found at twimlai.com/go/500.