Edge AI and Vision Alliance

“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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“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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“Machine Learning- based Image Compression: Ready for Prime Time?,” a Presentation from Clarifai

Michael Gormish, Research Manager at Clarifai, presents the “Machine Learning- based Image Compression: Ready for Prime Time?” tutorial at the May 2019 Embedded Vision Summit. Computer vision is undergoing dramatic changes because deep learning techniques are now able to solve complex non-linear problems. Computer vision pipelines used to consist of hand engineered stages mathematically optimized

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“Challenges and Approaches for Extracting Meaning from Satellite Imagery,” a Presentation from Orbital Insight

Adam Kraft, Deep Learning Engineer at Orbital Insight, presents the "Challenges and Approaches for Extracting Meaning from Satellite Imagery" tutorial at the May 2019 Embedded Vision Summit. Orbital Insight is a geospatial big data company leveraging the rapidly growing availability of satellite, UAV and other geospatial data sources to understand and characterize socioeconomic trends at

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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

Phone
Phone: +1 (925) 954-1411
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