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Algorithms

“Super Resolution on Resource Constrained Devices,” a Presentation from Collabora

Algorithms, Edge AI and Vision Alliance, Software, Summit 2021, Videos /

Marcus Edel, Machine Learning Engineer, and Aaron Boxer, Senior Software Developer, both of Collabora, present the “Super Resolution on Resource Constrained Devices” tutorial at the May 2021 Embedded Vision Summit. Internet video streaming has recently experienced tremendous growth, but delivery quality remains critically dependent on network bandwidth. To mitigate bandwidth limitations, most video is compressed, […]

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

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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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The Finnish Deep Tech Company Unikie is Establishing a Development Center in Estonia

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September 28, 2021 – Unikie, one of the fastest growing technology companies in Finland, is expanding to Estonia. Unikie, a pioneer in intelligent, real-time decision-making machines, cars and industrial applications, will establish a product development unit in Tallinn and and aim to recruit 100 software developers within two years. Unikie, which develops autonomous driving technology,

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

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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

Algorithms, Automotive, Edge AI and Vision Alliance, Software, Summit 2021, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2021, Tools, Videos /

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

Aerospace and Defense, Algorithms, Edge AI and Vision Alliance, Processors, Sensors, Software, Summit 2021, Tools, Videos /

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

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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 demands by modifying deep-neural networks

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Automotive Semiconductor Industry: The Winds of Change

Algorithms, Automotive, Market Analysis, Processors, Sensors, Software, Tools, Yole Group /

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

Algorithms, Arm, Automotive, News, Processors, Software, Tools /

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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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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