Edge AI and Vision Alliance

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Embedded Vision Insights: July 16, 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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“APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the "APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute

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“Visual AI Enables Autonomous Security,” an Interview with Knightscope

William “Bill” Santana Li, Co-founder, Chairman and CEO of Knightscope, talks with Vin Ratford, Executive Director of the Embedded Vision Alliance, for the “Visual AI Enables Autonomous Security” interview at the May 2019 Embedded Vision Summit. Knightscope, a physical security technologies company based in Silicon Valley, develops and sells a line of autonomous robots that

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“Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots,” a Presentation from Daniel Casner

Daniel Casner, formerly a systems engineer at Anki, presents the "Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots" tutorial at the May 2019 Embedded Vision Summit. How do you design robots that are aware of their unstructured environments at a consumer price point? Excellent sensing is required but using low cost sensors is

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Embedded Vision Insights: July 2, 2019 Edition

LETTER FROM THE EDITOR Dear Colleague, On Tuesday, July 9, Embedded Vision Alliance founder (and BDTI co-founder and President) Jeff Bier will be a speaker at the 2019 AI Design Forum, taking place in San Francisco, California. This year’s theme is “The Future of Computing – from Materials to Systems,” and the event brings together

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“Automotive Vision Systems — Seeing the Way Forward,” a Presentation from Strategy Analytics

Ian Riches, Executive Director for Global Automotive Practice at Strategy Analytics, presents the "Automotive Vision Systems— Seeing the Way Forward" tutorial at the May 2019 Embedded Vision Summit. It was not long ago that cameras were a rarity on all but luxury cars. In 2018, as many automotive cameras were shipped as were vehicles! Riches'

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“AI Is Moving to the Edge — What’s the Impact on the Semiconductor Industry?,” a Presentation from Yole Développement

Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can

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“Processor Options for Edge Inference: Options and Trade-offs,” a Presentation from Micron Technology

Raj Talluri, Senior Vice President and General Manager of the Mobile Business Unit at Micron Technology, presents the "Processor Options for Edge Inference: Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. Thanks to rapid advances in neural network algorithms, we’ve made tremendous progress in developing robust solutions for numerous computer vision tasks.

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May 2019 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Bo Zhu, CTO and Co-founder of BlinkAI Technologies, Dwight Linden, COO and Co-founder of Entropix, Austin Miller, Robotics Engineer at Robotic Materials, Ravi Sahu, CEO of Strayos, and Barbara Rosario, CTO and Co-founder of Vyrill, deliver their Vision Tank finalist presentations at the May 2019 Embedded Vision Summit. The Vision Tank, a unique spin on

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Embedded Vision Insights: June 18, 2019 Edition

RESOURCE-CONSTRAINED DEEP LEARNING IMPLEMENTATIONS Deep Learning on Arm Cortex-M Microcontrollers Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a result, there is increasing interest in deploying neural networks (NNs) on the types of low-power processors found in

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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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