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Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697

2024-08-12 · 47 min · episode 697 · 16 entities

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companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Qualcomm Technologies company
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    head at Qualcomm Technologies
  • mentioned Technology company
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  • works at Qualcomm Technologies company
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    head at Qualcomm Technologies
  • works at Qualcomm Technologies company
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    head at Qualcomm Technologies
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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 Siddhika Nevrekar person
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    Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697
  • 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

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Episode description as stored
Today, we're joined by Siddhika Nevrekar, AI Hub head at Qualcomm Technologies, to discuss on-device AI and how to make it easier for developers to take advantage of device capabilities. We unpack the motivations for AI engineers to move model inference from the cloud to local devices, and explore the challenges associated with on-device AI. We dig into the role of hardware solutions, from powerful system-on-chips (SoC) to neural processors, the importance of collaboration between community runtimes like ONNX and TFLite and chip manufacturers, the unique challenges of IoT and autonomous vehicles, and the key metrics developers should focus on to ensure optimal on-device performance. Finally, Siddhika introduces Qualcomm's AI Hub, a platform developed to simplify the process of testing and optimizing AI models across different devices. The complete show notes for this episode can be found at https://twimlai.com/go/697.