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Edge Impulse Releases Deployment Support for BrainChip Akida Neuromorphic IP

The tech firms’ collaboration augments brain-mimicking Spiking Neural Networks. Edge Impulse, the leading platform for enabling ML at the edge, and BrainChip, the leading provider of neuromorphic AI IP technology, announced support for deploying Edge Impulse projects on the BrainChip MetaTF platform. Edge Impulse enables developers to rapidly build enterprise-grade ML algorithms, trained on real […]

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“Event-Based Neuromorphic Perception and Computation: The Future of Sensing and AI,” a Keynote Presentation from Ryad Benosman

Ryad Benosman, Professor at the University of Pittsburgh and Adjunct Professor at the CMU Robotics Institute, presents the “Event-Based Neuromorphic Perception and Computation: The Future of Sensing and AI” tutorial at the May 2022 Embedded Vision Summit. We say that today’s mainstream computer vision technologies enable machines to “see,” much as humans do. We refer

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“A New AI Platform Architecture for the Smart Toys of the Future,” a Presentation from Xperi

Gabriel Costache, Senior R&D Director at Xperi, presents the “New AI Platform Architecture for the Smart Toys of the Future” tutorial at the May 2022 Embedded Vision Summit. From a parent’s perspective, toys should be safe, private, entertaining and educational, with the ability to adapt and grow with the child. For natural interaction, a toy

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The AI Semiconductor Market 1st Half 2022

This market research report was originally published at Woodside Capital Partners’ website. It is reprinted here with the permission of Woodside Capital Partners. Palo Alto – July 29, 2022 – Woodside Capital Partners (WCP) is pleased to share our Industry Report on the AI Semiconductor Market 1st Half 2022, authored by Managing Director Shusaku Sumida.

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“Human-centric Computer Vision with Synthetic Data,” a Presentation from Unity Technologies

Alex Thaman, Chief Software Architect at Unity Technologies, presents the “Human-centric Computer Vision with Synthetic Data” tutorial at the May 2022 Embedded Vision Summit. Companies are continuing to accelerate the adoption of computer vision to detect, identify and understand humans from camera imagery. Unity sees these human-centric use cases in a growing range of applications

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“Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines,” a Presentation from Texas Instruments

Manisha Agrawal, Product Marketing Manager at Texas Instruments, presents the “Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines” tutorial at the May 2022 Embedded Vision Summit. Automation is expanding rapidly from the factory floor to the consumer’s front door. Examples include autonomous mobile robots used in warehouses and last mile delivery and service

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“Deploying Visual AI on Edge Devices: Lessons From the Real World,” a Presentation from Teledyne Imaging

Luc Chouinard, AI Specialist and Design Architect at Teledyne Imaging, presents the “Deploying Visual AI on Edge Devices: Lessons From the Real World” tutorial at the May 2022 Embedded Vision Summit. Developing an AI-based edge device is complex, involving hardware, algorithms and software. It requires making many technology-selection decisions and balancing numerous trade-offs. In this

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“Intelligent Vision for the Industrial,​ Automotive and IoT Edge with the i.MX 8M Plus Applications Processor,” a Presentation from NXP Semiconductors

Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Intelligent Vision for the Industrial,​ Automotive and IoT Edge with the i.MX 8M Plus Applications Processor” tutorial at the May 2022 Embedded Vision Summit. Today’s edge-based ML solutions need a powerful multicore processor packed with features and

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“Creating Better Datasets for Training More Robust Models in FiftyOne,” a Presentation from Voxel51

Jason Corso, CEO of Voxel51, presents the “Creating Better Datasets for Training More Robust Models in FiftyOne” tutorial at the May 2022 Embedded Vision Summit. Nothing hinders the success of computer vision and machine learning systems more than poor-quality data. Gone are the days of focusing only on the model while assuming the data is

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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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