Software

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

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2022, Tools, Videos /

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

Algorithms, Entertainment, Processors, Sensors and Cameras, Software, Summit 2022, Tools, Videos, 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

Algorithms, Market Analysis, Processors, Sensors and Cameras, Software, Tools /

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

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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

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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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SmartCow Launches Ultron, an Edge AI Platform to Provide Sensor Fusion For Smart Cities and Autonomous Infrastructure Deployments

Industrial Vision (Computer Vision), News, Sensors and Cameras, SmartCow AI Technologies, Software /

JULIANS, MALTA, July 26, 2022 – SmartCow, an AI engineering company specializing in video analytics, AIoT devices, and smart city solutions, today announced the release of Ultron, an NVIDIA®️ Jetson-based edge AI platform with sensor fusion capability on the edge for industrial applications requiring logic-based decisions and actions. Ultron is built for smart city and

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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

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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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Enabling On-device Learning at Scale

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On-device intelligence provides important benefits. This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest AI research to personalize and adapt models while keeping data private One size doesn’t fit all. The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are

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“Vision AI At the Edge: From Zero to Deployment Using Low-Code Development,” a Presentation from NVIDIA

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Carlos Garcia-Sierra, Product Manager for DeepStream at NVIDIA, presents the “Vision AI At the Edge: From Zero to Deployment Using Low-Code Development” tutorial on behalf of Alvin Clark, Product Marketing Manager at NVIDIA, at the May 2022 Embedded Vision Summit. Development of vision AI applications for the edge presents complex challenges beyond model inference, often

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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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