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NVIDIA today announced a new range of developer frameworks, tools, apps, and plugins for NVIDIA Omniverse, the platform for building and connecting metaverse worlds based on Universal Scene Description (USD). The Santa Clara, Calif.-based company said the expansion of Omniverse includes several AI-powered tools and features that deliver artists, developers, and engineers the power to build virtual worlds and content…
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…new challenges. Siemens AG and NVIDIA Corp. today announced the expansion of their partnership and plans to first connect the Siemens Xcelerator open digital business platform with the NVIDIA Omniverse platform for 3D design and collaboration. The companies said their collaboration will “enable an industrial metaverse with physics-based digital models from Siemens and real-time AI from NVIDIA in which companies…
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…Ecuador and Sweden are using NVIDIA DGX H100 systems like AI factories to manufacture intelligence, according to NVIDIA. They’re creating services that offer AI-driven insights in finance, healthcare, law, IT and telecom — and working to transform their industries in the process. Among the dozens of DGX H100 use cases, one aims to predict how factory equipment will age, so…
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…with Toyota Motor Corporation and NVIDIA to bring a leap forward in industrial robotics. Toyota will employ READY ForgeOS in tandem with NVIDIA Isaac Sim, a robotics simulator developed on NVIDIA Omniverse, to build a simulated robotic programming environment for its aluminum hot forging production lines. This collaboration is set to enhance safety and efficiency in Toyota’s manufacturing processes. Typically,…
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…autonomous wheelchair project using the NVIDIA Jetson platform for edge AI and robotics. The autonomous motorized wheelchair is connected to depth and lidar sensors—along with USB cameras—which allow it to perceive the environment and plan an obstacle-free path toward a user’s desired destination. “A person using the motorized wheelchair could provide the location they need to move to, which would…
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NVIDIA announced at AWS re:Invent that Isaac Sim now runs on Amazon Elastic Cloud Computing (EC2) G6e instances accelerated by NVIDIA L40S GPUs. And with the NVIDIA OSMO cloud-native orchestration platform, developers can manage their complex robotics workflows across their AWS computing infrastructure. Smoother development options through EC2 Field AI is building robot brains that enable robots to autonomously manage…
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…physical AI. Built on the NVIDIA Jetson Thor system-on-module (SoM), Lanner said that the EAI-I351 is designed to deliver server-class performance for autonomous mobile robots (AMRs), heavy-duty industrial vehicles and edge-native generative AI applications. As physical AI workloads demand exponentially higher compute for real-time reasoning and sensor fusion, the company said its EAI-I351 bridges the gap between data center architectures…
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…week announced it will deploy NVIDIA AI-powered robots to restock shelves at hundreds of FamilyMart convenience stores in Japan. There are 56,000 convenience stores in Japan — the third-highest density worldwide. Around 16,000 of them are run by FamilyMart, according to NVIDIA. Telexistence aims to save time for these stores by offloading repetitive tasks like refilling shelves of beverages to…
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…recently announced the integration of NVIDIA Isaac robotics technologies into RGo Robotics platforms to help advance AI-powered automation. The companies made the announcement at COMPUTEX in Taipei. Perception Engine & NVIDIA integration RGo's Perception Engine, a deployed vision and AI offering for localization, obstacle detection and scene understanding, will integrate NVIDIA Isaac Perceptor technologies to provide advanced vison capabilities to…
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…Web Services (AWS) Startups and NVIDIA Inception to help high-potential robotics startups build, refine and scale physical AI offerings. MassRobotics said the inaugural Fall 2025 cohort includes some of the most promising startups working within physical AI and serving a multitude of industries. Physical AI continues growth, development Throughout the program, MassRobotics said that fellows will work one-on-one with scientists…
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…had strengthened its collaboration with NVIDIA with a trio of announcements. FANUC said that the expanded collaborations show a practical path to bringing physical AI into industrial robotics, using NVIDIA simulation, robot learning and edge AI technologies to make robot development, testing and deployment faster and more capable. Intuitive robot operation in a “virtual factory,” powered by NVIDIA Isaac Sim…
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NVIDIA announced the introduction of the T3000 and T2000, new modules based on the NVIDIA Thor architecture, which the company said enables mass-market robotics and edge AI applications at scale. The company said that general-purpose robots and autonomous machines are moving from research labs to real-world mass-market deployment, creating demand for compact, power-efficient AI supercomputers capable of running foundation models…
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…deployment platform now supports the NVIDIA Jetson edge platform. The Petach Tikva, Israel-based company said Nimbus allows cloud-enabled deployments to use NVIDIA's edge artificial intelligence technology for the first time. Cogniteam said it has been working with top companies on robotic mapping, navigation, and autonomous decision making. The company said Nimbus’ packaging of field-tested software, such as sensors and AI…
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…training of machine learning systems. NVIDIA Corp. today announced the availability of the 2022.1 release of NVIDIA Isaac Sim. “With Isaac Sim, developers can generate production-quality datasets to train AI perception models,” wrote Gerard Andrews, senior product marketing manager for robotics at NVIDIA, in a blog post. “Developers will also be able to simulate robotic navigation and manipulation, as well…
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…systems based on the new NVIDIA Jetson Orin NX system on module, or SoM. The Baden-Dattwil, Switzerland-based company said they are ruggedized for use in demanding environmental conditions. The latest member of the NVIDIA Jetson product family, the Jetson Orin NX 16GB has 100 TOPS (trillions of operations per second) of computing power and 16GB RAM. This is three times…
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
