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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…
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…vehicle performance analysis. GPU maker NVIDIA’s DRIVE Constellation is a two-server setup that lets you create a virtual driving experience. Image courtesy of NVIDIA. Although most autonomous vehicle developers are concentrating on simulating and testing how the AI program handles routine events (lane changes, road construction signs, sudden stops and so on), Tideman feels it’s equally important to conceive and…
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…cooperation with AI computing company NVIDIA and ZF, one of the world’s largest automotive suppliers. And while most are still talking about Tesla’s splashy announcement, we’re taking action. Our DHL Supply division has just placed an order for ten Tesla Electric Class 8 Semi Trucks, making it one of the first third-party logistics (3PL) companies to do so. We’ll begin…
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…the source. The CEO of Nvidia, a supplier of chips for autonomous vehicles, said late last month, “it will take no more than four years to have fully autonomous cars on the road. How long it takes for the vast majority of cars on the road to become that, it really just depends.” Pew Research released a survey in early…
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…and FANUC’s futuristic factory with NVIDIA’s AI platform. According to the report, AI will be a critical catalyst in overcoming current manufacturing challenges such as security concerns, lagging government initiatives, and a slowdown in cognitive technology growth due to conservative manufacturing mind-sets. Key trends in cognitive manufacturing include: ● A surge in the adoption of autonomous robots in manufacturing ●…
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