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Mindtech Releases New Features for Chameleon – the Synthetic Data Creation Platform for Training AI Vision Systems

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Sheffield, 11 August 2021, Mindtech Global announces the latest update to their end-to-end platform for the creation and curation of synthetic images for training AI vision systems. This release brings an enhanced platform user experience, simplifying the creation of complex scenarios, with comprehensive new data discovery, bias and diversity management tools. New automated real-world behavioral […]

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance

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Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning

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This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. Today we are excited to announce the launch of Edge Impulse’s new auto machine learning tool, the EON Tuner! The EON Tuner helps you find and select the best embedded machine learning model for your

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“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

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James Kim, Marketing Team Leader at Nextchip, and Peter Lee, CEO of VADAS, co-present the “Deploying an Autonomous Valet Parking Solution with Cameras Using AI” tutorial at the May 2021 Embedded Vision Summit. In this talk, Nextchip’s Kim explains why his company targeted autonomous valet parking (AVP) with its newest APACHE6 SoC, and how Nextchip

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“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

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Brandon Gilles, CEO of Luxonis, presents the “DepthAI: Embedded, Performant Spatial AI and Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Performant spatial AI and CV enables human-like perception and real-time interaction with the world. But embedding performant spatial AI and CV into actual products is difficult, costly and time-consuming. DepthAI makes building

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“Flexible Machine Learning Solutions with Lattice FPGAs,” a Presentation from Lattice Semiconductor

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Sreepada Hegade, Senior Manager for ML Software and Solutions at Lattice Semiconductor, presents the “Flexible Machine Learning Solutions with Lattice FPGAs” tutorial at the May 2021 Embedded Vision Summit. The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than

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“Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications,” a Presentation from Blaize

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Dmitry Zakharchenko, Vice President of Research and Product Development at Blaize, presents the “Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Software is becoming the critical differentiator in AI edge app development and adoption. This presentation examines a new approach for enterprises challenged to

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“A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs

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Evan Juras, Computer Vision Engineer at BDTI, and Braulio Ríos, Machine Learning Engineer at Tryolabs, co-present the “A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience” tutorial at the May 2021 Embedded Vision Summit. MaskCam is a prototype reference design for a smart camera that counts the number of

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Free Webinar Explores How to Protect AI Models at the Edge

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On September 28, 2021 at 9 am PT (noon ET), Mike Hendrick, Vice President of Engineering, Larry O’Connell, Vice President of Marketing, and Phil Attfield, CEO, all of Sequitur Labs, will present the free hour webinar “Securing Smart Devices: Protecting AI Models at the Edge,” organized by the Edge AI and Vision Alliance. Here’s the

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Maxim Integrated Teams with Xailient to Provide World’s Fastest and Lowest-Power IoT Face Detection

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MAX78000 AI microcontroller and Xailient’s Detectum neural network detects and localizes faces in video and images at just 12ms per inference SAN JOSE, Calif., July 27, 2021 /PRNewswire/ — Maxim Integrated Products, Inc. (NASDAQ: MXIM) and Xailient Inc., a company focused on artificial intelligence (AI) for the edge, today announced that Maxim Integrated’s MAX78000 ultra-low

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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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