Andrea Dunbar, Sector Head for Edge AI and Vision at CSEM, presents the “Intelligent Vision System for Grains” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Dunbar discusses the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of […]
“Intelligent Vision System for Grains,” a Presentation from CSEM Read More +
September 30, 2021 – Vision Components has developed an FPGA-based accelerator for edge preprocessing of image data in embedded vision projects with MIPI camera modules. The hardware accelerator with multiple MIPI-CSI-2 inputs and outputs enables complex image processing and image data analysis. The compact board can merge data from several MIPI cameras. It manages complex
September 29, 2021 – Variscite, a leading worldwide System on Module vendor in the embedded market, announced a new partnership with Sequitur Labs, a leading security company providing a complete chip-to-cloud software solution for secure device design, manufacturing, and lifecycle management. The collaboration aims to deliver a complete security solution for customers using Variscite’s i.MX8
Tiny Machine Learning Development Board Now Available for Building Low-Power Voice, Audio and Sensor Applications using Edge Impulse’s Embedded ML Platform Smallest Form Factor in the Market Fits Tiniest Devices; Delivers 20x More Throughput at 200x Less Energy Per Inference IRVINE, Calif., September 29, 2021 – Syntiant Corp, a provider of deep learning solutions making
Proven software platform enables fast development of embedded ML models for Katana SoCs in power sensitive intelligent IoT applications SAN JOSE, Calif., Sept. 29, 2021 (GLOBE NEWSWIRE) –– Synaptics® Incorporated (Nasdaq: SYNA) today announced a partnership with Edge Impulse, the leading development platform for machine learning on edge devices. The partnership combines Synaptics’ Katana™ Ultra
Synaptics Accelerates Low Power Edge AI Deployment with Edge Impulse Partnership Read More +
On November 16, 2021 at 9 am PT (noon ET), Pierre Cambou, Principal Analyst in the Photonics and Sensing Division, and Adrien Sanchez, Technology and Market Analyst for Computing and Software in the Semiconductor, Memory and Computing division , both of Yole Développement, will present the free hour webinar “Neuromorphic Sensing and Computing: Compelling Options
Free Webinar Explores AI Opportunities for Neuromorphic Sensing and Computing Read More +
Vecow ECX-2400 AI Computing System targets demanding industrial applications with higher system reliability, lower power consumption and faster time-to-market – ideal Edge AI solution for lower total cost of ownership (TCO) El Dorado Hills, CA and New Taipei City, Taiwan — September 27, 2021 — Vecow Co., Ltd., a team of global embedded experts, and
Vecow and Blaize Team to Deliver Leading Workstation-grade Edge AI Computing Solution Read More +
El Dorado Hills, CA— September 23, 2021 — Blaize® today announced a strategic cooperation agreement with Lidar solutions leader LeiShen, for in-depth cooperation on the integration of Lidar and AI functions in intelligence applications for autonomous operation across a range of automotive and smart city markets in China. As part of the agreement, Blaize and
September 20, 2021-PARIS-(BUSINESS WIRE)-GrAI Matter Labs (GML), a pioneer of brain-inspired ultra-low latency computing, and ADLINK Technology Inc., a global leader in edge computing, today announced the companies’ partnership to create a Life-Ready AI SMARC platform based on ADLINK’s SMARC I-Pi Development kits and GML’s Life-Ready GrAI VIP (Vision Inference Processor). Life-Ready AI SMARC Module
Deep Learning Device to Perform Person Detection and Object Classification at Ultra-Low Power IRVINE, Calif., Sept. 22, 2021 (GLOBE NEWSWIRE) — Syntiant Corp, a provider of deep learning solutions making edge AI a reality for always-on applications in battery-powered devices, today introduced its Syntiant® NDP200 Neural Decision Processor™ (NDP), the company’s first chip designed for
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