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Full-Stack AI Systems Development with Murali Akula - #563

2022-03-14 · 44 min · episode 563 · 16 entities

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companys 7

  • mentioned TWIML company
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  • mentioned Software Engineering company
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    director of Software Engineering
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    director of Software Engineering
  • works at Software Engineering company
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    director of Software Engineering
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  • hosted by TWIML company
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    Feed author/publisher: TWIML

concepts 5

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  • discusses Tech News concept
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    Feed category: Tech News

persons 3

  • mentioned Murali Akula person
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    Full-Stack AI Systems Development with Murali Akula - #563
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Murali Akula, a Sr. director of Software Engineering at Qualcomm. In our conversation with Murali, we explore his role at Qualcomm, where he leads the corporate research team focused on the development and deployment of AI onto Snapdragon chips, their unique definition of “full stack”, and how that philosophy permeates into every step of the software development process. We explore the complexities that are unique to doing machine learning on resource constrained devices, some of the techniques that are being applied to get complex models working on mobile devices, and the process for taking these models from research into real-world applications. We also discuss a few more tools and recent developments, including DONNA for neural architecture search, X-Distill, a method of improving the self-supervised training of monocular depth, and the AI Model Effeciency Toolkit, a library that provides advanced quantization and compression techniques for trained neural network models. The complete show notes for this episode can be found at twimlai.com/go/563