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CEVA and DARPA Establish Partnership for Technology Innovation

Commercial partnership under new DARPA Toolbox initiative provides DARPA researchers with access to CEVA’s portfolio of wireless connectivity and smart sensing IPs Rockville, MD., – January 05, 2021 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced an open licensing agreement with the U.S. Defense Advanced Research Projects […]

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“Deploying AI Software to Embedded Devices Using Open Standards,” a Presentation from Codeplay Software

Andrew Richards, Co-founder and CEO of Codeplay Software, presents the “Deploying AI Software to Embedded Devices Using Open Standards” tutorial at the September 2020 Embedded Vision Summit. AI software developers need to deploy diverse classes of algorithms in embedded devices, including deep learning, machine vision and sensor fusion. Adapting these algorithms to run efficiently on

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OmniVision Announces World’s First Dedicated Driver Monitoring System ASIC With Integrated AI Neural Processing Unit, Image Signal Processor and DDR3 Memory

Optimized for Entry-Level DMS With Industry’s Lowest Power Consumption and Board Space for Processing Eye Gaze and Eye Tracking Algorithms; ASIC and Image Sensor, Combined, Consume Less Than 1 Watt SANTA CLARA, Calif. – Jan. 4, 2021 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced in advance of CES

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“Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage,” a Presentation from the Chamberlain Group

Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage” tutorial at the September 2020 Embedded Vision Summit. Chamberlain Group (CGI) is a global leader in access control solutions with its Chamberlain and LiftMaster garage door opener

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The AI Revolution: Less Artificial, More Intelligent, and Beneficial to Society (Part One)

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. Today’s neuromorphic computing architecture is capable of real-time learning and classification which is leading to a new path of Artificial Intelligence. As technology advances, new ways to support sequential memory, prediction and eventually, awareness is within our

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“Key Trends and Challenges in Practical Visual AI and Computer Vision,” a Presentation from the Edge AI and Vision Alliance

Jeff Bier, Founder of the Edge AI and Vision Alliance and President of BDTI, presents the “Key Trends and Challenges in Practical Visual AI and Computer Vision” tutorial at the September 2020 Embedded Vision Summit. With visual AI and computer vision technologies advancing faster than ever, it can be difficult to see the big picture.

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“Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?,” a Presentation from Arm

Tim Hartley, Director of Product and Marketing at Arm, presents the “Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?” tutorial at the September 2020 Embedded Vision Summit. The benefits of running machine learning at the edge are widely accepted, and today’s low-power edge devices are already showing

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Qualcomm Cloud AI 100 Advances to Next Stage of Development

Qualcomm Cloud Edge AI Development Kit commercially available in 1st half of 2021 This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Since the Qualcomm Cloud AI 100 inference accelerator was announced a year ago, our AI team has been very busy. Today marks an important

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“Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study,” a Presentation from AMD

Rajy Meeyakhan Rawther, PMTS Software Architect in the Machine Learning Software Engineering group at AMD, presents the “Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study” tutorial at the September 2020 Embedded Vision Summit. In this talk, Rawther presents techniques for obtaining the best inference performance when deploying machine learning applications in

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“Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX,” a Presentation from AMD

Kiriti Nagesh Gowda, staff engineer in the Machine Learning and Computer Vision Group at AMD and chair of the Khronos OpenVX working group, presents the “Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX” tutorial at the September 2020 Embedded Vision Summit. OpenVX is a mature computer vision and machine learning API standard

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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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