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NVIDIA and Arrow Electronics Bring New Jetson Xavier AI Computer to World’s Largest Industrial Markets

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Platform Enables AI and Robotics Technology to Transform Manufacturing, Logistics, Smart Cities, Healthcare and More SANTA CLARA, Calif., Sept. 10, 2018 — NVIDIA and Arrow Electronics, Inc. today announced they are bringing NVIDIA® Jetson™ Xavier™, a first-of-its-kind computer designed for AI, robotics and edge computing, to companies worldwide to create next-generation autonomous machines. The collaboration combines NVIDIA’s world-leading AI […]

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What’s the Difference Between a CNN and an RNN?

Blog Posts /

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. The hit 1982 TV series Knight Rider, starring David Hasselhoff and a futuristic crime-fighting Pontiac Firebird, was prophetic. The self-driving, talking car also offers a Hollywood lesson in image and language recognition. If scripted today, Hasselhoff’s AI

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“Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases,” a Presentation from Xperi

Algorithms & Models, Processors, Software, Summit 2018, Tools, Videos, Xperi /

Peter Corcoran, co-founder of FotoNation (now a core business unit of Xperi) and lead principle investigator and director of C3Imaging (a research partnership between Xperi and the National University of Ireland, Galway), presents the “Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases” tutorial at the May 2018 Embedded Vision Summit. Deep

“Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases,” a Presentation from Xperi Read More +

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BrainChip Announces the Akida Architecture, a Neuromorphic System-on-Chip

BrainChip, News /

Company introduces the architecture of the first in a new breed of neural network acceleration SoCs that puts artificial intelligence at the edge and enterprise San Francisco – 10 September 2018: BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), the leading neuromorphic computing company, today establishes itself as the first company to bring a

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“Building Efficient CNN Models for Mobile and Embedded Applications,” a Presentation from Facebook

Algorithms & Models, Edge AI and Vision Alliance, Processors, Software, Summit 2018, Tools, Videos /

Peter Vajda, Research Scientist at Facebook, presents the “Building Efficient CNN Models for Mobile and Embedded Applications” tutorial at the May 2018 Embedded Vision Summit. Recent advances in efficient deep learning models have led to many potential applications in mobile and embedded devices. In this talk, Vajda discusses state-of-the-art model architectures, and introduces Facebook’s work

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“Harnessing the Edge and the Cloud Together for Visual AI,” a Presentation from Au-Zone Technologies

Algorithms & Models, Au-Zone Technologies, Processors, Software, Summit 2018, Tools, Videos /

Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, presents the “Harnessing the Edge and the Cloud Together for Visual AI” tutorial at the May 2018 Embedded Vision Summit. Embedded developers are increasingly comfortable deploying trained neural networks as static elements in edge devices, as well as using cloud-based vision services to implement visual intelligence remotely.

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Imagination and Chips&Media Deliver Integrated GPU and Video Codec IP with Advantages of System Level Compression

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London, UK; and Beijing, China; 5th September, 2018 – Imagination Technologies and Chips&Media announce a new collaboration that will bring the industry’s best IP solutions for GPU and Video Codec to customers worldwide. The partners, who are respectively leaders in video and graphics technologies, are ensuring that Imagination GPU IP and Chips&Media Video Codec IP

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Embedded Vision Insights: September 6, 2018 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, The next session of the Embedded Vision Alliance's in-person, hands-on technical training class series, Deep Learning for Computer Vision with TensorFlow, takes place in less than a month in San Jose, California. These classes give you the critical knowledge you need to develop deep learning computer vision applications with

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“Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques,” a Presentation from Imagination Technologies

Algorithms & Models, Imagination Technologies, Processors, Software, Summit 2018, Tools, Videos /

Paul Brasnett, Senior Research Manager for Vision and AI in the PowerVR Division at Imagination Technologies, presents the “Improving and Implementing Traditional Computer Vision Algorithms Using DNN Techniques” tutorial at the May 2018 Embedded Vision Summit. There has been a very significant shift in the computer vision industry over the past few years, from traditional

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Simulation Technology Driving the Autonomous Vehicle Training Market

Market Analysis /

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Over the next several decades, autonomous vehicles (AVs) are likely to be a common sight on roadways both in the United States and around the world. But ensuring that these vehicles can safely operate without driver

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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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