TECHNOLOGIES

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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Prophesee Releases the Most Comprehensive Event-Based Dataset to Date

Featuring 14 hours of recording on a 1-megapixel camera, available for download now PARIS – December 7, 2020 – Prophesee SA, inventor of the most advanced neuromorphic vision systems, today announced the release of the most comprehensive Event-Based dataset to date. The dataset, which was spotlighted at the 2020 NeurIPS conference, consists of 14 hours

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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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“The Future of Image Sensors,” An Embedded Vision Summit Expert Panel Discussion

Shung Chieh, Co-founder and Vice President of Engineering at Solidspac3, moderates the “Future of Image Sensors” Expert Panel at the September 2020 Embedded Vision Summit. Other panelists include Sandor Barna, Vice President of Hardware at Aurora; Boyd Fowler, Chief Technology Officer at OmniVision; Sundar Ramamurthy, Group Vice President and General Manager at Applied Materials; and

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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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BrainChip Ships Akida Evaluation Boards

Company Provides Shipments to Early Access Partners Aliso Viejo, California – 8 December, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today provides the following update on the on the shipment of the Company’s evaluation boards for the Akida  Neuromophic System-on-Chip (NSoC). The Company confirms that

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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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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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