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Now available—the Embedded Vision Summit On-Demand Edition! Gain valuable computer vision and edge AI insights and know-how from the experts at the 2021 Summit.

“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… “Data Collection in the Wild,” …

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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… “Explainability in Computer Vision: A …

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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… “Productizing Complex Visual AI Systems …

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“Introduction to DNN Model Compression Techniques,” a Presentation from Xailient

Sabina Pokhrel, Customer Success AI Engineer at Xailient, presents the “Introduction to DNN Model Compression Techniques” tutorial at the May 2021 Embedded Vision Summit. Embedding real-time large-scale deep learning vision applications at the edge is challenging due to their huge computational, memory, and bandwidth requirements. System architects can mitigate these… “Introduction to DNN Model Compression …

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Automotive Semiconductor Industry: The Winds of Change

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. The automotive industry faces new industrial and technological challenges while undergoing dramatic changes in its value chain. OUTLINE Market forecasts: In 2035, C.A.S.E. will be a US$318 billion market. Semiconductor’s value (chip level) in …

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New Arm Technologies to Transform the Software-defined Future For the Automotive Industry

News Highlights: Arm is delivering critical resources to accelerate the automotive industry’s software-defined future with support from leading industry players including AWS, Continental, CARIAD and more SOAFEE, a new software architecture and open-source reference implementation, brings the real-time and safety needs of automotive together with the advantages of a cloud-native approach Two new reference hardware …

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“How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications,” a Presentation from Camio

Rakshit Agrawal, Director of Research and Development at Camio, presents the “How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications” tutorial at the May 2021 Embedded Vision Summit. Recent progress in machine learning algorithms has been meteoric. Yet their implementation in real-world embedded applications crawls at… “How Containerization Unblocks Barriers to …

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“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a Presentation from Ambarella

Dinesh Balasubramaniam, Senior Product Marketing Manager at Ambarella, presents the “When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies” tutorial at the May 2021 Embedded Vision Summit. Camera systems used for computer vision at the edge are smarter than ever, but when they perceive the world in… “When 2D Is Not Enough: …

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Webinar Explores Building Scalable Edge ML Solutions Using NXP Processors and Amazon Services

Now available for on-demand viewing is the archive recording of the webinar “Building Scalable Edge ML Solutions with NXP i.MX Applications Processors and AWS Cloud Services,” co-presented by Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, and Jack Ogawa, responsible for Strategic Semiconductor Partnerships for IoT at …

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Edge AI – Speaking the Same Language

This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. Words can have multiple meanings. As a result, people involved with adjacent areas of the technology industry often misunderstand each other, even when using the same terms. Each group has its own frame of reference, history and …

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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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