Found in Robotics News & Content, with a score of 4.00
May 10, 2019
…workstations and the visualization muscle of graphics processing units (GPUs). They make it possible to efficiently incorporate topology optimization and generative design, as well as simulation of part placement and layer-by-layer printing into a DfAM workflow. Additive Manufacturing with GPUs One new company looking to speed product development with graphics processing units (GPUs) is Dyndrite, a Seattle startup that says its “hybrid” technology kernel is capable of representing all current geometry types, including higher order geometries such as splines (NURBs), surface tessellations, volumetric data, tetrahedra and voxels. Additionally, the company says users can seamlessly move between geometric representations without destroying…
Found in Robotics News & Content, with a score of 0.79
May 01, 2019
…preventing the takeover from occurring in a timely fashion. GPU-accelerated AI Training Dynamic driving tasks as defined by the SAE include: object and event detection, recognition, and classification; object and event response; maneuver planning; steering, turning, lane keeping and lane changing; acceleration and deceleration; and showing light, signaling and gesturing. Focusing on GPU-driven autonomous car development, 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…
Found in Robotics News & Content, with a score of 1.42
May 01, 2019
…system sectors, fielding such technologies as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), systems on a chip (SoCs) and CPUs. When picking the most appropriate platform for a smart sensor application, the designer must juggle a number of criteria. These range from the type of analytics to be performed, environmental constraints and energy budgets to programming flexibility, throughput requirements and cost. Designed to bring intelligence to the edge, FogHorn Systems’ edge lighting software promises to support sensor fusion, simultaneously processing multiple streams of different types of data. In addition, the company says the 2.0 version…
Found in Robotics News & Content, with a score of 2.37
March 25, 2019
Around 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 snaking through the grass fields, all the way to the student union building that houses the canteen. “Hey, thanks for coming out this way! We got so packed in the old place we had to get you out here.…
Found in Robotics News & Content, with a score of 2.27
December 11, 2018
…the application's ability by tapping the user's local machine's GPU, be it a laptop, a phone, or a tablet.” The decision to launch a cloud-hosted CAD application was in part a gamble on increasing bandwidth. “That's the wave we're riding on; we knew bandwidth would improve over time,” says McEleney. “You'll definitely see performance increases when 5G hits, but the beauty of our position is, we don't need to do any extra work to take advantage of it” Onshape released its first public beta in 2015. Unlike many legacy CAD programs, Onshape wrote its architecture from the ground up to…
Found in Robotics News & Content, with a score of 0.94
December 01, 2018
…Simcenter Tyre, for tire simulation and 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 test the rare but imminent events. “Unpredictable human behavior is difficult to model and adapt autonomous vehicles to anticipate human drivers!” — DE 2018 survey response “Statistically, some events only occur once in every…
Found in Robotics News & Content, with a score of 0.24
October 15, 2018
…example, one of these breakthroughs was the development of GPUs (Graphical Processing Units), which expanded the typical functions of CPUs. Big Data Supply chain and logistics companies produce and can use, a lot of data (big data), and AI requires significant volumes of it to show its full power. In the past several years, some new types of data have emerged, and in addition to an ever-increasing pace of data creation, they finally supply AI with enough juice to work to its fullest potential. Algorithmic Advancements They have improved in recent years as well, allowing the detection of patterns and…
