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 […]
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
Yamaha Motor Adopts Jetson AGX Xavier for Autonomous Machines for Land, Air and Sea Read More +
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
New NVIDIA Data Center Inference Platform to Fuel Next Wave of AI-Powered Services Read More +
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
Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the “Understanding Automotive Radar: Present and Future” tutorial at the May 2018 Embedded Vision Summit. Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing
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
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
What’s the Difference Between a CNN and an RNN? Read More +
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
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
BrainChip Announces the Akida Architecture, a Neuromorphic System-on-Chip Read More +
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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