Edge AI and Vision Alliance

“Improving the Safety and Performance of Automated Vehicles Through Precision Localization,” a Presentation from VSI Labs

Phil Magney, founder of VSI Labs, presents the “Improving the Safety and Performance of Automated Vehicles Through Precision Localization” tutorial at the May 2019 Embedded Vision Summit. How does a self-driving car know where it is? Magney explains how autonomous vehicles localize themselves against their surroundings through the use of a variety of sensors along […]

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Embedded Vision Insights: September 10, 2019 Edition

LETTER FROM THE EDITOR Dear Colleague, Deep Learning for Computer Vision with TensorFlow 2.0 is the Embedded Vision Alliance's in-person, hands-on technical training class. The next session will take place November 1 in Fremont, California, hosted by Alliance Member company Mentor. This one-day hands-on overview will give you the critical knowledge you need to develop

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“Eye Tracking for the Future: The Eyes Have It,” a Presentation from Parallel Rules

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future: The Eyes Have It” tutorial at the May 2019 Embedded Vision Summit. Eye interaction technologies complement augmented and virtual reality head-mounted displays. In this presentation, Milford reviews eye tracking technology, concentrating mainly on camera-based solutions and associated system requirements. Wearable eye tracking

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“Hardware-aware Deep Neural Network Design,” a Presentation from Facebook

Peter Vajda, Research Manager at Facebook, presents the “Hardware-aware Deep Neural Network Design” tutorial at the May 2019 Embedded Vision Summit. A central problem in the deployment of deep neural networks is maximizing accuracy within the compute performance constraints of embedded devices. In this talk, Vajda discusses approaches to addressing this challenge based on automated

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“Training Data for Your CNN: What You Need and How to Get It,” a Presentation from Aquifi

Carlo Dal Mutto, CTO of Aquifi, presents the “Training Data for Your CNN: What You Need and How to Get It” tutorial at the May 2019 Embedded Vision Summit. A fundamental building block for AI development is the development of a proper training set to allow effective training of neural nets. Developing such a training

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Embedded Vision Insights: August 27, 2019 Edition

LETTER FROM THE EDITOR Dear Colleague, Are you interested in learning more about key trends driving the proliferation of visual AI? The Embedded Vision Alliance will deliver a free webinar on this topic on October 16. Jeff Bier, founder of the Alliance and co-founder and President of BDTI, will examine the four most important trends

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Khronos Releases New NNEF Convertors, Extensions, and Model Zoo

Significant expansion of NNEF ecosystem for bringing trained neural networks into inference engines Portland, OR — August 14, 2019 — 6:00 AM Pacific — Today The Khronos® Group, an open consortium of leading hardware and software companies creating advanced acceleration standards, announces a significant expansion in the ecosystem for the NNEF™ (Neural Network Exchange Format) open,

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Embedded Vision Insights: August 13, 2019 Edition

LETTER FROM THE EDITOR Dear Colleague, On Wednesday, August 28 at 11:00 am, Embedded Vision Alliance founder (and BDTI co-founder and President) Jeff Bier will be a speaker at the Drive World with ESC Conference and Expo, taking place August 27-29 in Santa Clara, California. Bier's presentation, "Embedded Vision: The 4 Key Trends Driving the

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“Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time,” a Presentation from Sportlogiq

Mehrsan Javan, CTO of Sportlogiq, presents the “Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time” tutorial at the May 2019 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input,

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“Addressing Corner Cases in Embedded Computer Vision Applications,” a Presentation from Netradyne

David Julian, CTO and Founder of Netradyne, presents the “Addressing Corner Cases in Embedded Computer Vision Applications” tutorial at the May 2019 Embedded Vision Summit. Many embedded vision applications require solutions that are robust in the face of very diverse real-world inputs. For example, in automotive applications, vision-based safety systems may encounter unusual configurations of

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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