Edge AI and Vision Alliance

“A Practical Guide to Implementing ML on Embedded Devices,” a Presentation from the Chamberlain Group

Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Practical Guide to Implementing ML on Embedded Devices” tutorial at the May 2021 Embedded Vision Summit. Deploying machine learning onto edge devices requires many choices and trade-offs. Fortunately, processor designers are adding inference-enhancing instructions and architectures to even the lowest cost […]

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Edge AI and Vision Insights: September 28, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, Today, September 28 at 9 am PT, Sequitur Labs will deliver the free webinar “Securing Smart Devices: Protecting AI Models at the Edge” in partnership with the Edge AI and Vision Alliance. Billions of new IoT devices are expected to come online in just the next few years. Securing

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“A Survey of CMOS Imagers and Lenses—and the Trade-offs You Should Consider,” a Presentation from Capable Robot Components

Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “Survey of CMOS Imagers and Lenses—and the Trade-offs You Should Consider” tutorial at the May 2021 Embedded Vision Summit. Selecting the right imager and lens for your vision application is often a daunting challenge due to the vast number of products on the market

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“Is My Model Performing Well? It Depends…,” a Presentation from BMW Group

Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Is My Model Performing Well? It Depends…” tutorial at the May 2021 Embedded Vision Summit. There are many statistical metrics used to measure the performance of machine learning models. While they work well when the model itself is the final product, classical measures are often

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“Data Collection in the Wild,” a Presentation from BMW Group

Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Data Collection in the Wild” tutorial at the May 2021 Embedded Vision Summit. In scientific papers, computer vision models are usually evaluated on well-defined training and test datasets. In practice, however, collecting high-quality data that accurately represents the real world is a challenging problem. Developing

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“Explainability in Computer Vision: A Machine Learning Engineer’s Overview,” a Presentation from AltaML

Navaneeth Kamballur Kottayil, Lead Machine Learning Developer at AltaML, presents the “Explainability in Computer Vision: A Machine Learning Engineer’s Overview” tutorial at the May 2021 Embedded Vision Summit. With the increasing use of deep neural networks in computer vision applications, it has become more difficult for developers to explain how their algorithms work. This can

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“Productizing Complex Visual AI Systems for Autonomous Flight,” a Presentation from Airbus

Carlo Dal Mutto, Director of Engineering at Airbus, presents the “Productizing Complex Visual AI Systems for Autonomous Flight” tutorial at the May 2021 Embedded Vision Summit. The development of visual AI systems for real-world applications is a complex undertaking characterized by a variety of diverse challenges. While the media spotlight is often focused on academic

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Edge AI and Vision Insights: September 14, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, This Thursday, September 16 at 9 am PT, Edge Impulse will deliver the free webinar “Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning” in partnership with the Edge AI and Vision Alliance. Finding the best machine learning (ML) model for analyzing sensor data isn’t

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May 2021 Embedded Vision Summit Opening Remarks (May 28)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2021 Embedded Vision Summit on May 28, 2021. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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May 2021 Embedded Vision Summit Opening Remarks (May 27)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2021 Embedded Vision Summit on May 27, 2021. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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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.

Contact

Address

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

Phone
Phone: +1 (925) 954-1411
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