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NVIDIA has announced the completion of its acquisition of Mellanox Technologies, Ltd., for a transaction value of $7 billion. The acquisition, initially announced on March 11, 2019, unites two of the leading companies in high performance and data center computing. Combining NVIDIA’s computing expertise with Mellanox’s high-performance networking technology, the move will enable customers to achieve higher performance, greater use…
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NVIDIA GTC Virtual Kicks Off NVIDIA GTC Virtual kicked off this week, with podcasts, live talks, and tutorials. If you have previously registered for GTC, you are automatically registered for GTC Virtual. The Virtual event is free, no fee required. You can go to GTC virtual site, put a check list on topics that interest you, and put live talks…
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…further. With workstations equipped with NVIDIA RTX GPUs, you can work in real-time raytracing—a mode of working previously unthinkable due to the computing burden it entails. When the first crop of NVIDIA RTX GPUs based on Turning architecture was introduced at the NVIDIA GPU Technology Conference (GTC), Kim Libreri, CTO of Epic Games, said, “The availability of these technologies is…
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…AI-powered consumer gadgets. Toyota and NVIDIA At the show, Toyota’s booth showcases the T-HR3 humanoid partner robot. The robot is controlled by a human driver, whose movements dictate the robot's action. GPU maker NVIDIA plays a role in the development of T-HR3. Its Isaac software development kit for AI-driven robotics—a technology for training and simulating robots—is part of the project.…
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…and DSV; smart infrastructure companies like Transurban; and technology leaders including NVIDIA, Bosch and Ambarella to bring autonomous trucks to market.
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NVIDIA makes available a new kind of graphics processing unit-accelerated supercomputer in the cloud on Microsoft Azure. Built to handle demanding artificial intelligence (AI) and high-performance computing applications, the largest deployments of Azure’s new NDv2 instance rank among the world’s fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network, NVIDIA…
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…in compute capabilities, such as NVIDIA’s Jetson product line and cutting-edge AI, such as deep neural networks, it becomes possible to structure the information so as to extract troves of useful features,” says Carlos Asmat, lead robotics engineer at Piaggio Fast Forward. “Given the increasing abundance of computational power, it becomes more advantageous to use sensors that can capture as…
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…AI Kit powered by the NVIDIA Jetson Nano and the Course Materials Kit for “Getting Started with AI on the Jetson Nano” from NVIDIA’s Deep Learning Institute. SparkFun’s version of the JetBot merges the machine learning capabilities of the NVIDIA Jetson Nano with the vast SparkFun ecosystem of sensors and accessories. Packaged as a ready-to-assemble robotics platform, the SparkFun JetBot…
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…law. GPU vendors AMD and NVIDIA are shipping utilities that help GPUs participate in new workflows. Companies that would create a rendering farm of networked PCs to create photorealistic images or animations in the past can now use GPUs. The price/performance comparisons are also shifting; for software that supports GPUs for advanced rendering, it is now cheaper to assemble a…
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…can all be configured with NVIDIA GPUs. They are also certified for use with popular design engineering software packages. “Dyndrite's geometry kernel is purpose-built to use every bit, flop, register and clock cycle of the latest NVIDIA GPU,” said Shawn Hopwood, Dyndrite’s chief marketing officer. Thank's to NVIDIA's GPGPU programming paradigm, CUDA, Dyndrite can run all the computations of its…
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…graphics processing unit (GPU) maker NVIDIA has developed an autonomous vehicle platform. Its DRIVE AP2X Level 2+ AutoPilot uses technology from the higher levels of autonomy. “DRIVE AP2X is a Level 2+ automated driving system. The driver is still responsible and must monitor the road, but we’re also incorporating surround sensors and AI software running on deep neural networks to…
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…edge analytics at Greenwave Systems. “NVIDIA just announced a GPU-based edge board called Jetson Nano for $99. And Qualcomm’s AI Engine runs on its newer generation Snapdragon-based boards. Ultimately, the best processor type will depend on power requirements, cost and use cases.” One Way to Eliminate the Bottleneck As impressive as the advances in the digital sector are, some developers…
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…noon on Monday March 18, NVIDIA GPU Technology Conference (GTC) attendees began boarding the long black buses that would shuttle them to the site of the keynote. The 15-min ride from the convention center took them to the San Jose State University's sunny campus. It was still more than an hour before the scheduled keynote, but the queue was already…
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…shown here. Image courtesy of NVIDIA. A subset of machine learning, DL helps computers learn to recognize patterns in the digital manifestations of things like sensor data, images and sounds. This enables the system to formulate predictions and ultimately make decisions. This learning occurs in an iterative, three-layered process, built on a hierarchy of neural networks. In the first layer,…
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…incorporate AI into new products. NVIDIA’s Isaac Gem suite, for example, can be used for developing solutions for perception, navigation, manipulation and control in robotics systems. Developers can train and test robotics software using realistic virtual simulation environments. MathWorks added more deep learning enhancements to its latest releases of MATLAB and Simulink for designing and implementing deep neural networks and…
GENISOM AI makes ICRA debut at conference in Vienna
World's first omni-modal evaluation including tactile sensing for…
Ultrasonic sensing enhances robotics perception
Cybernetix Ventures’ event kicks off Robotics Tech Week 2026 slate of events
