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 […]
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
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
“Introduction to DNN Model Compression Techniques,” a Presentation from Xailient Read More +
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
Automotive Semiconductor Industry: The Winds of Change Read More +
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
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 a snail’s pace, in large
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 2D, they remain limited for
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
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
Edge AI – Speaking the Same Language Read More +
Toby McClean, Vice President of AIoT Technology and Innovation at ADLINK Technology, presents the “Five Rights of an Edge AI Computer Vision System: Right Data, Right Time, Right Place, Right Decision, Right Action” tutorial at the May 2021 Embedded Vision Summit. Solutions builders and business decision-makers designing edge AI computer vision systems should focus on
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