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Brian Dipert

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The Evolution of AI Applications Is Driving the Need for New Chipset Solutions

Market Analysis /

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. The AI chipset market landscape continues to change every day, with more and more companies jumping into the market. By Tractica’s estimation, there are more than 70 startups, blue chip companies, cloud providers, and semiconductor companies […]

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“Introduction to LiDAR for Machine Perception,” a Presentation from Deepen AI

Algorithms, Edge AI and Vision Alliance, Sensors, Software, Summit 2018, Tools, Videos /

Mohammad Musa, the Founder and CEO of Deepen AI, presents the “Introduction to LiDAR for Machine Perception” tutorial at the May 2018 Embedded Vision Summit. LiDAR sensors use pulsed laser light to construct 3D representations of objects and terrain. Recently, interest in LiDAR has grown, for example for generating high-definition maps required for autonomous vehicles

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“Intelligent Consumer Robots Powering the Smart Home,” a Presentation from iRobot

Algorithms, Edge AI and Vision Alliance, Robotics, Sensors, Software, Summit 2018, Tools, Videos /

Mario Munich, Senior Vice President of Technology at iRobot, presents the “Intelligent Consumer Robots Powering the Smart Home” tutorial at the May 2018 Embedded Vision Summit. The Internet Of Things (IoT) has rapidly developed in the past few years, enabled by affordable electronics components and powerful embedded microprocessors, ubiquitous internet access and WiFi in the

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NVIDIA Announces TensorRT 5 and TensorRT Inference Server

Uncategorized /

September 12, 2018 – At GTC Japan, NVIDIA announced the latest version of the TensorRT high-performance deep learning inference optimizer and runtime. TensorRT 5 provides support for the new Turing architecture, new optimizations and INT8 APIs that achieves up to 40x faster inference over CPU-only platforms. This latest version dramatically speeds up inference of recommenders,

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NVIDIA DGX-2 AI Supercomputer and New Tesla T4 Set Image Recognition Records for Training and Inference

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September 12, 2018 – Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed. Related to data augmentation and tensor parameter interleaving, these technologies enabled a single Tesla V100 GPU to do a ResNet-50 training run in just under 24 hours (1,350 images/second). We also discussed how these same technologies enabled

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Leading Japanese Companies Select NVIDIA Jetson AGX Xavier for Next-Generation Autonomous Machines

News /

FANUC, Komatsu, Musashi Seimitsu, Kawada Technologies Adopt AI Robotics Platform Across Japanese Industrial Markets Wednesday, September 12, 2018 — GTC Japan — NVIDIA today announced the global availability of the Jetson™ AGX Xavier™ developer kit, with industrial and manufacturing leaders in Japan among the first to begin utilizing the new system. Speaking at the GPU

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Yamaha Motor Adopts Jetson AGX Xavier for Autonomous Machines for Land, Air and Sea

News /

Wednesday, September 12, 2018 — GTC Japan — Yamaha Motor Co. has selected NVIDIA® Jetson™ AGX Xavier™ as the development system to power its upcoming lineup of autonomous machines, NVIDIA founder and CEO Jensen Huang announced today in his keynote address at the GPU Technology Conference. The Japanese manufacturer plans to make Jetson AGX Xavier

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New NVIDIA Data Center Inference Platform to Fuel Next Wave of AI-Powered Services

News /

Tesla T4 GPU and New TensorRT Software Enable Intelligent Voice, Video, Image and Recommendation Services Wednesday, September 12, 2018 — GTC Japan — Fueling the growth of AI services worldwide, NVIDIA today launched an AI data center platform that delivers the industry’s most advanced inference acceleration for voice, video, image and recommendation services. The NVIDIA

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“Approaches for Energy Efficient Implementation of Deep Neural Networks,” a Presentation from MIT

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

Vivienne Sze, Associate Professor at MIT, presents the “Approaches for Energy Efficient Implementation of Deep Neural Networks” tutorial at the May 2018 Embedded Vision Summit. Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks. But these algorithms are very computationally demanding. To enable DNNs to be used in

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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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