TECHNOLOGIES

GML and EZ-WHEEL Partner to Bring a Unique AI-powered Wheel Drive to Autonomous Mobile Robots

October 1, 2021–PARIS–(BUSINESS WIRE)–GrAI Matter Labs (GML), a pioneer of brain-inspired computing solutions, announced today that it has entered into a partnership with ez-Wheel, a French company specializing in autonomous electric wheels, to develop an AI powered Wheel Drive for Autonomous Mobile Robots (AMRs) that will be available in 2023. The award winning ez-Wheel solution […]

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Free Webinar Explores How to Develop Intelligent AI

On December 9, 2021 at 9 am PT (noon ET), Rob Telson, Vice President of Worldwide Sales, and Todd Vierra, Director of Customer Engagement, both of BrainChip, will present the free hour webinar “Developing Intelligent AI Everywhere with BrainChip’s Akida,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration

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“Intelligent Vision System for Grains,” a Presentation from CSEM

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

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FPGA-based Accelerator for Embedded Vision with MIPI and New MIPI Cameras with ToF, SWIR and Pregius Sensors

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

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“Super Resolution on Resource Constrained Devices,” a Presentation from Collabora

Marcus Edel, Machine Learning Engineer, and Aaron Boxer, Senior Software Developer, both of Collabora, present the “Super Resolution on Resource Constrained Devices” tutorial at the May 2021 Embedded Vision Summit. Internet video streaming has recently experienced tremendous growth, but delivery quality remains critically dependent on network bandwidth. To mitigate bandwidth limitations, most video is compressed,

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Variscite and Sequitur Labs’ New Partnership Accelerates the Development of Reliable and Secure IoT Products

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

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Syntiant Brings AI Development to Everyone, Everywhere with Introduction of TinyML Platform

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

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Lattice mVision Solution Stack Enables 4K Video Processing at Low Power for Embedded Vision Applications

Updated Stack Delivers Higher ISP Performance, Support for LPDDR4 DRAM, and Expanded Hardware Support for Popular Vision and High Speed Data Interfaces HILLSBORO, Ore. – Sept. 22, 2021 –Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced updates to its award-winning Lattice mVision™ solution stack. The mVision stack now supports 4K video

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Synaptics Accelerates Low Power Edge AI Deployment with Edge Impulse Partnership

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

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“A Practical Guide to Implementing ML on Embedded Devices,” a Presentation from the Chamberlain Group

Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Practical Guide to Implementing ML on Embedded Devices” tutorial at the May 2021 Embedded Vision Summit. Deploying machine learning onto edge devices requires many choices and trade-offs. Fortunately, processor designers are adding inference-enhancing instructions and architectures to even the lowest cost

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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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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