Defining & Democratizing Edge AI

Defining & Democratizing Edge AI

Author: Embedded Computing Design January 4, 2024 Duration: 36:32

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On this episode of Embedded Insiders, Artem Aginisky, product line manager of arm-based processors at Texas Instruments, dives into the topic of edge AI, specifically, how he defines edge AI and how TI is working on democratizing edge AI through innovations in microprocessors and software.

Next, is our Engineering Heroes series, sponsored by Wind River, where we highlight the lives of unsung heroes in the world of engineering whose work impacts uncountable lives across the globe. This episode features Dr. Karisa Schreck, a Newark, New Jersey native whose work involves treating brain cancer by targeting mutations. 


But first,  Rich and Ken discuss cybersecurity and quantum computing. 


For more information, visit embeddedcomputing.com


Tune in to Embedded Insiders for a genuine conversation about the intricate world of electronics and system design. This isn't a dry lecture; it's a lively discussion led by Tiera Oliver and Ken Briodagh from Embedded Computing Design, who bring their editorial expertise directly to the microphone. They sit down with seasoned veterans from the field, creating an atmosphere that feels more like a insightful chat between colleagues than a formal presentation. Within each episode, you'll hear these experts unpack the latest trends, break down industry news, and examine new products shaping domains like embedded systems, IoT, automotive tech, and security. Whether you're a hardware design engineer, a software developer, or an academic, this podcast cuts through the noise to deliver practical insights and forward-looking analysis. The focus remains squarely on the technical realities and innovations that professionals encounter daily, making complex topics in physics and engineering accessible and engaging. For anyone building the technology of tomorrow, this series offers a valuable perspective straight from the insiders who are doing the work.
Author: Language: English Episodes: 100

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