Today we’re joined by Gary Brotman, Senior Director of Product Management at Qualcomm Technologies, Inc.
Subscribe: iTunes / Google Play / Spotify / RSS
Gary, who got his start in AI through music, now leads strategy and product planning for the company’s Artificial Intelligence and Machine Learning technologies, including those that make up the Qualcomm Snapdragon mobile platforms. In the conversation, we discuss AI on mobile devices and at the edge, including popular use cases, and explore some of the various acceleration technologies offered by Qualcomm and others that enable them. We also dig into the state of AI on devices from the application developer’s perspective, and how various acceleration technologies fit together to help developers bring new products to market.
Thanks to our Sponsor!
Thanks to our friends at Qualcomm for sponsoring today’s show! As you’ll hear in the conversation with Gary, Qualcomm has been in the AI space for well over a decade now, powering some of the latest and greatest Android devices with their Snapdragon chipset. With their strong footing in the mobile chipset space, Qualcomm now has the goal of making AI at the edge ubiquitous, beyond mobile devices. To find out more about what they’re up to, and how they plan to get there, visit twimlai.com/qualcomm.
Mentioned in the Interview
- Qualcomm Mobile Processor Families
- Hexagon Digital Signal Processor (DSP)
- Qualcomm AI Engine
- Google Neural Networks API
- Hexagon DSP Architecture
- Qualcomm Neural Processing SDK for AI
- Check out all of our great series from 2018 at the TWIML Presents: Series page!
- TWIML Online Meetup
- Register for the TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0