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Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500

Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
42 minutes
Released:
Jul 12, 2021
Format:
Podcast episode

Description

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.
Released:
Jul 12, 2021
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.