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“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Accuracy: Beware of Red Herrings and Black Swans” tutorial at the September 2020 Embedded Vision Summit. Machine learning aims to construct models that are predictive: accurate even on data not used during training. But how should we assess accuracy? (Hint: simply computing the average error on a pre-determined […]

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Towards Dent Measurement by Drone

This blog post was originally published at Donecle’s website on behalf of 8tree. It is reprinted here with the permission of Donecle and 8tree. Can you measure dents? This is a question which our customers and prospects ask on a regular basis. Dent damage is a chronic and recurring problem on aircraft, due to loading

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“Recent Advances in Post-training Quantization,” a Presentation from Intel

Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances in Post-training Quantization” tutorial at the September 2020 Embedded Vision Summit. The use of low-precision arithmetic (8-bit and smaller data types) is key for the deployment of deep neural network inference with high performance, low cost and low power consumption. Shifting to low-precision

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New Intel oneAPI Toolkits for XPU Software Development

What’s New: Following a November announcement, Intel today released production of Intel® oneAPI toolkits for developing high-performance, cross-architecture applications for Intel® CPUs, GPUs and FPGAs, collectively described as XPUs. The version 2021.1 toolkits deliver oneAPI, an open, standards-based, unified cross-architecture programming model that provides developers the freedom to choose the best hardware for accelerated computing. In addition to the

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“The Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines,” An Embedded Vision Summit Expert Panel Discussion

Samir Kumar, Managing Director at Microsoft M12, moderates the “Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines” Expert Panel at the September 2020 Embedded Vision Summit. Other panelists include Pete Warden, Staff Research Engineer at Google; Stevie Bathiche, Technical Fellow at Microsoft; Steve Teig, CEO

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MVTec Innovation Day 2021: Experience Machine Vision Trends at a Virtual and Interactive Event

Virtual, interactive MVTec event on February 3, 2021 New machine vision trends on topics such as deep learning and 3D vision Expert presentations, demonstrations, and networking via live stream, an event portal, and video chat Munich, December 10, 2020 – MVTec Software GmbH (www.mvtec.com), a leading provider of machine vision software, invites guests once again

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“Streamline, Simplify, and Solve for the Edge of the Future,” a General Session Presentation from Intel

Bill Pearson, Vice President of the Internet of Things Group and General Manager of Developer Enabling at Intel, presents the “Streamline, Simplify, and Solve for the Edge of the Future” tutorial at the September 2020 Embedded Vision Summit. Today, edge AI is changing our world — whether it’s smart lab instruments enabling faster blood tests,

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Algolux Joins PAVE to Help Raise Public Awareness of the Computer Vision Challenges Impacting Automated Driving

Montreal, Canada – December 8, 2020 – Algolux today announced that it has joined Partners for Automated Vehicle Education (PAVE) to help raise public awareness about the real-world challenges that Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) perception systems face in difficult driving conditions, and the advanced technologies applied to address them. A

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“A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI,” a Keynote Presentation from David Patterson

David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI” tutorial at the September 2020 Embedded Vision Summit. Paradoxically, processors today are both a key enabler of and a painful obstacle to

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“Perspective On the Past, Present, and Future of Processor Design,” an Alliance Interview with David Patterson

David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Perspective On the Past, Present, and Future of Processor Design” interview at the September 2020 Embedded Vision Summit. See here for Patterson’s keynote

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