Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
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
Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
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.
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Today we're joined by Jeff Gehlhaar, VP of Technology at Qualcomm, and Zahra Koochak, Staff Machine Learning Engineer at Qualcomm AI Research.
If you haven’t had a chance to listen to our first interview with Jeff, I encourage you to check it out here! In this conversation, we catch up with Jeff and Zahra to get an update on what the company has up to since our last conversation, including the Snapdragon 865 chipset and Hexagon Neural Network Direct.
We also discuss open-source projects like the AI efficiency toolkit and Tensor Virtual Machine compiler, and how these projects fit in the broader Qualcomm ecosystem. Finally, we talk through their vision for on-device federated learning.
The complete show notes for this page can be found at twimlai.com/go/414.
Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280
Today we’re joined by Jeff Gehlhaar, VP of Technology and Head of AI Software Platforms at Qualcomm. Qualcomm has a hand in tons of machine learning research and hardware, and in our conversation with Jeff we discuss:
• How the various training frameworks fit into the developer experience when working with their chipsets.
• Examples of federated learning in the wild.
• The role inference will play in data center devices and much more.