Embedded AI: Out of the Lab and into the Field

By Brandon Lewis

Editor-in-Chief

Embedded Computing Design

By Rich Nass

Executive Vice President

Embedded Computing Design

March 26, 2021

Embedded AI: Out of the Lab and into the Field

How do we transition from our historical lack of understanding about what’s going on under the hood of complex neural networks, and into an era of AI explainability around how these models operate?

 

In this week’s Embedded Insiders, the Insiders comment on a recent fire that shut down the Renesas Naka semiconductor fab where the company manufactures automotive chips. 

Later, Rich is joined again by Zane Tsai, Director of the Platform Product Center at ADLINK Technology, to discuss how logistics companies are being affected by the race to deploy AI at the edge, and insights for developers looking to increase the efficiency and productivity of logistics automation systems.

The two are also joined by NVIDIA’s Amit Goel, Director of Product management for embedded AI platforms, who examines the complexities of integrating reliable performance into AI-based applications like independent automation. NVIDIA is currently building a hardware platform that will bring greater compute intelligence to autonomous systems at the edge. However, a solid software framework that can streamline the development, deployment, and management of the AI applications that will run on these devices is still critical. The company’s Isaac SDK and DeepStream SDK for AI-based multi-sensor processing, video, audio, and image understanding are positioned to support these workloads across the engineering and operational lifecycles of AI-enabled robots.

Finally, Tiera Oliver addresses the evolution of real-world AI. How do we transition from our historical lack of understanding about what’s going on under the hood of complex neural networks, and into an era of AI explainability around how these models operate? Will we ever be able to test, verify, and validate these workloads to the point that they can be heavily relied upon in safety-critical systems? Johanna Pingel and David Willingham, deep learning project managers at The MathWorks, believe we’re already on the way.

 
Featured Companies

NVIDIA

2701 San Tomas Expressway
Santa Clara, CA 95050

ADLINK Technology, Inc.

5215 Hellyer Avenue
San Jose, CA 95138

MathWorks

1 Apple Hill Drive
Natick, MA 01760

Renesas Electronics Corporation

TOYOSU FORESIA
Tokyo, Koto-ku, Toyosu 135-0061

Brandon is responsible for guiding content strategy, editorial direction, and community engagement across the Embedded Computing Design ecosystem. A 10-year veteran of the electronics media industry, he enjoys covering topics ranging from development kits to cybersecurity and tech business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached at [email protected]

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Richard Nass’ key responsibilities include setting the direction for all aspects of OSM’s ECD portfolio, including digital, print, and live events. Previously, Nass was the Brand Director for Design News. Prior, he led the content team for UBM’s Medical Devices Group, and all custom properties and events. Nass has been in the engineering OEM industry for more than 30 years. In prior stints, he led the Content Team at EE Times, Embedded.com, and TechOnLine. Nass holds a BSEE degree from NJIT.

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