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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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The Next Phase of Deep Learning: Neural Architecture Learning Leads to Optimized Computer Vision Models

This article was originally published by Xnor.ai. It is reprinted here with the permission of Xnor.ai. Everywhere we hear that AI is going to change the world — those underlying AI models now power more products, businesses, and solutions. To understand what this all means, how AI models are structured, and how they are learning

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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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“Neuromorphic Event-based Vision: From Disruption to Adoption at Scale,” a Presentation from Prophesee

Luca Verre, Co-founder and CEO of Prophesee, presents the “Neuromorphic Event-based Vision: From Disruption to Adoption at Scale” tutorial at the May 2019 Embedded Vision Summit. Neuromorphic event-based vision is a new paradigm in imaging technology, inspired by human biology. It promises to dramatically improve machines’ ability to sense their environments and make intelligent decisions

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VeriSilicon Launches VIP9000, New Generation of Neural Processor Unit IP

Device Will Help Resolve System Level Bottlenecks for More Efficient AI Solutions Shanghai, China, August 7, 2019 – VeriSilicon, a Silicon-Platform-as-a-Service (SiPaaS®) company, today announces VIP9000, a highly scalable and programmable processor for computer vision and artificial intelligence. The Vivante VIP family’s patented Neural Network (NN) engine and Tensor Processing Fabric technology delivers superb neural

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2nd Gen AMD EPYC™ Processors Set New Standard for the Modern Datacenter with Record-Breaking Performance and Significant TCO Savings

AMD EPYC™ 7002 Series processors set 80 performance world records1, provide 2X the performance compared to the previous generation2 and deliver an estimated 25% to 50% lower TCO than competitive offerings3 Google and Twitter join growing list of customers adopting AMD EPYC processors SANTA CLARA, Calif. – 08/07/2019 – At a launch event today, AMD

2nd Gen AMD EPYC™ Processors Set New Standard for the Modern Datacenter with Record-Breaking Performance and Significant TCO Savings Read More +

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FRAMOS Launches an Industrial 3D GigE Camera Based on Intel’s RealSense Technology

07/08/2019 09:00 – FRAMOS, the global partner for Vision Technologies, has developed an industrial grade version of Intel’s® RealSense™ Suite to provide Gigabit Ethernet connectivity and an IP66 rated housing. The D435e industrial 3D GigE Vision camera leverages the advantages of easy-to-integrate 3D vision in rugged environments; enabling real-time positioning, orientation and tracking of robots,

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Exploring Neuromorphic Computing for AI: Why Spikes? (Part Two)

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. In this blog series, we’re looking at one of Intel’s branches of AI research, neuromorphic computing. The goal of neuromorphic computing is to apply the fundamental properties of neural computation found in nature to breakthroughs in non-Von

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“Separable Convolutions for Efficient Implementation of CNNs and Other Vision Algorithms,” a Presentation from Phiar

Chen-Ping Yu, Co-founder and CEO of Phiar, presents the “Separable Convolutions for Efficient Implementation of CNNs and Other Vision Algorithms” tutorial at the May 2019 Embedded Vision Summit. Separable convolutions are an important technique for implementing efficient convolutional neural networks (CNNs), made popular by MobileNet’s use of depthwise separable convolutions. But separable convolutions are not

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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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