Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
2022-08-15 · 44 min · episode 587 · 13 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
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Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
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Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
Episode description as stored
Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side and the research team, many of whom we’ve had on the podcast over the last few years. We discuss the challenges of real-world neural network deployment and doing quantization on-device, as well as a look at the tools that power their AI Stack. We also explore a few interesting automotive use cases, including automated driver assistance, and what advancements Jeff is looking forward to seeing in the next year.
The complete show notes for this episode can be found at twimlai.com/go/587