This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Healthcare is a multitrillion-dollar global industry, growing each year as average life expectancy rises — and with nearly unlimited facets and sub-specialties. For medical professionals, new technologies can change the way they work, enable more accurate diagnoses […]
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NVIDIA Clara AI Toolkit Enables New ACR AI-LAB, Giving 38,000+ ACR Members and Other Radiology Professionals Ability to Develop and Deploy AI at Their Own Institutions BOSTON, April 08, 2019, World Medical Innovation Forum — NVIDIA and the American College of Radiology today announced a collaboration to enable thousands of radiologists nationwide to create and use
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA’s Volta V100 and Turing GPUs. This enables scientific programmers using Fortran to take advantage of FP16 matrix operations accelerated by Tensor Cores. Let’s take
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This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. NVIDIA is not necessarily known for powering low power AI applications. Most of its artificial intelligence (AI) focus has been on powering high power cloud or data center applications, where its Tesla graphics processing unit (GPU)
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This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Gone are the days of using a single GPU to train a deep learning model. With computationally intensive algorithms such as semantic segmentation, a single GPU can take days to optimize a model. But multi-GPU hardware is expensive,
Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC Read More +
ON Semiconductor’s Image Sensor model provides real-time inputs to NVIDIA DRIVE Constellation simulation platform SAN JOSE, CA – GTC – March 19, 2019 – ON Semiconductor (Nasdaq: ON), driving energy-efficient innovations, today announced that it is leveraging its sophisticated image sensor modeling technology to provide real-time data to the NVIDIA DRIVE Constellation™ simulation platform. The
ON Semiconductor Collaborates with NVIDIA on Cloud-based Autonomous Vehicle Simulation Read More +
March 18, 2019 – A novice painter might set brush to canvas aiming to create a stunning sunset landscape — craggy, snow-covered peaks reflected in a glassy lake — only to end up with something that looks more like a multi-colored inkblot. But a deep learning model developed by NVIDIA Research can do just the
Stroke of Genius: GauGAN Turns Doodles into Stunning, Photorealistic Landscapes Read More +
AWS IoT Greengrass Enables NVIDIA Jetson to Seamlessly Deploy AI for Edge Devices SAN JOSE, Calif., March 18, 2019 GPU Technology Conference—NVIDIA today announced a collaboration with Amazon Web Services (AWS) IoT on NVIDIA® Jetson™ to enable customers to deploy AI and deep learning to millions of connected devices. This joint solution enables models to
NVIDIA Teams with Amazon Web Services to Bring AI to Millions of Connected Devices Read More +
Collaboration to Accelerate Use of Autonomous Vehicles and AI Technologies Expands to New Testing and Validation System SAN JOSE, Calif., March 18, 2019 GPU Technology Conference — Toyota Research Institute-Advanced Development (TRI-AD) and NVIDIA today announced a new collaboration to develop, train and validate self-driving vehicles. The partnership builds on an ongoing relationship with Toyota to
Open, Scalable Simulation Platform Enables Large Virtual Fleets of Self-Driving Cars SAN JOSE, Calif., March 18, 2019 GPU Technology Conference — NVIDIA today announced the NVIDIA DRIVE Constellation™ autonomous vehicle simulation platform is now available. The cloud-based platform enables millions of miles to be driven in virtual worlds across a broad range of scenarios — from routine
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