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…with frames flowing directly into NVIDIA hardware encoders and AI inference pipelines simultaneously. For data collection teams, Ouster said that this means higher-throughput dataset capture at full resolution. And for deployment teams, Ouster said that it means running perception, segmentation and policy networks in parallel on the same frames with more GPU headroom for the models that matter. Click here…
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…Fidler, VP of AI Research, NVIDIA Engin Anil, VP of Software, Autonomy, and Foundation Models AI, Cobot Fred Parietti, Co-Founder & CEO, Multiply Labs Goutham Subramanian, VP of Software, Saronic Kevin Peterson, Co-Founder & CTO, Bedrock Robotics Jason Ma, Co-Founder, Dyna Robotics Cheng Chi, Co-Founder & CTO, Sunday Grace Brown, Founder & CEO, Andromeda Pulkit Agrawal, Co-Founder, Eka Robotics Pete…
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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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…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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…MXM form factor GPUs from NVIDIA and AMD. The system is designed for equipment manufacturers, system integrators, computer vision solution providers and end customers who need computing and graphics processing for machine vision, security, autonomous vehicles, medical imaging or edge AI applications. The global market for machine vision is expected to reach $31.1 billion by 2024, with a CAGR of…
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…Cvetanovski, General Motors; Siddha Ganju, NVIDIA; and Maciej Ksiazek, Aptiv. Image courtesy of CES/Aurora Labs. Aurora Labs’ Auto Validate solution gives the automotive manufacturers the transparency to validate what software changes have been made, how they affect other components in the complex software system and to reduce software failures. According to auto manufacturers, there are several market trends driving the…
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…slicing. The Dyndrite engine supports NVIDIA Enterprise GPUs for computational acceleration. It uses Python as a scripting language, and offers various Python application programming interfaces for automation and workflow integration. HP says this new build prep engine will help additive manufacturing engineers and technicians “improve productivity, efficiency and repeatability in their industrial additive production.” “Additive manufacturing has always had incredible…
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…world,” points out Konttori. “With NVIDIA RTX GPUs, the application really benefits a lot from the real-time raytracing possible.” Collaborative use of VR is not confined to Varjo’s customers themselves. “We keep a minimum number of people in the office. These are people who must put together new PCBs, for example. Out of the 130 R&D engineers we have, about…
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…EOS, ExOne, HP, Impossible Objects, NVIDIA, Plural, Renishaw and SLM Solutions. The Dyndrite Developer Council is a central component of the Dyndrite Developer Program, which provides tools, resources and community for original equipment manufacturers (OEMs), independent software vendors (ISVs), service providers and educators developing on the Dyndrite platform. “Photocentric is excited to be a part of the Dyndrite Developer Council.…
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…ANSYS, AON3D, Aurora Labs, Desktop Metal, EOS, ExOne, HP, Impossible Objects, NVIDIA, Plural, Renishaw and SLM Solutions. Sources: Press materials received from the company and additional information gleaned from the company’s website.
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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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…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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…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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…global business development at Segway. NVIDIA provides the processing power for Kiwibot 4.0, Pinilla said. Chick-fil-A has experienced a significant increase in delivery demand over the past year. The quick-service restaurant, as well as campus food provider Sodexo, has evaluated the effect of robots on customer experience in its partnership with Kiwibot. The company is looking for additional partners. The…
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…noted that previously announced autonomous driving partnerships, such as that with NVIDIA, will continue in parallel with its work with Aurora.
From geometry preparation to AI-assisted analysis, integrated CFD workflows…
Software-based GripperAI manages mixed picking through basic geometry
Safety, communication and motion control components enable smooth operation
North America’s largest robotics and automation event winds down
