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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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
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
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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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
September 28, 2021 – Unikie, one of the fastest growing technology companies in Finland, is expanding to Estonia. Unikie, a pioneer in intelligent, real-time decision-making machines, cars and industrial applications, will establish a product development unit in Tallinn and and aim to recruit 100 software developers within two years. Unikie, which develops autonomous driving technology,
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Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Is My Model Performing Well? It Depends…” tutorial at the May 2021 Embedded Vision Summit. There are many statistical metrics used to measure the performance of machine learning models. While they work well when the model itself is the final product, classical measures are often
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Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Data Collection in the Wild” tutorial at the May 2021 Embedded Vision Summit. In scientific papers, computer vision models are usually evaluated on well-defined training and test datasets. In practice, however, collecting high-quality data that accurately represents the real world is a challenging problem. Developing
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Navaneeth Kamballur Kottayil, Lead Machine Learning Developer at AltaML, presents the “Explainability in Computer Vision: A Machine Learning Engineer’s Overview” tutorial at the May 2021 Embedded Vision Summit. With the increasing use of deep neural networks in computer vision applications, it has become more difficult for developers to explain how their algorithms work. This can
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