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 […]
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
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
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
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.
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
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
Qualcomm Cloud AI 100 Advances to Next Stage of Development Read More +
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
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
Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the September 2020 Embedded Vision Summit on September 24, 2020. 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
September 2020 Embedded Vision Summit Opening Remarks (September 24) Read More +
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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