Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar
EPISODE 587
|
AUGUST
15,
2022
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About this Episode
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.
About the Guest
Jeff Gehlhaar
Qualcomm
Thanks to our sponsor Qualcomm Technologies
Thanks to our friends at Qualcomm for their continued support of the podcast! The Qualcomm AI Engine is powering the future of industries. Experience mobile intelligence like never before with the brand-new 7th Gen Qualcomm Artificial Intelligence (AI) Engine—uniting AI with everything from photography to gaming to connectivity. Visit twimlai.com/go/qualcommai to learn more.
Resources
- Qualcomm AI is transforming industries by accelerating global commercialization of AI.
- Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
- Open Source at Qualcomm AI Research with Jeff Gehlhaar - #414
- Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - #280
- Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579
- Advances in Neural Compression with Auke Wiggers - #570
- Full-Stack AI Systems Development with Murali Akula - #563
- Deep Learning is Eating 5G. Here’s How. with Joseph Soriaga - #525