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Georgia Olympia Brikis, Director of Physics-Informed AI Research, Siemens Gerard Andrews, Product Marketing, Robotics, NVIDIA Holger Kenn, Director of Business Strategy, AI, Data, and Emerging Technology, Microsoft Corp. Paul Thomas, Director of Machine Vision and Applied AI in Global Engineering, P&G Rashmi Misra, Chief AI Officer, Analog Devices

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With NVIDIA Omniverse Enterprise deployed on NVIDIA OVX™, developers are building applications to power physically based, AI-enabled digital twins. They now have the superpowers to design, simulate, and optimize products, equipment, and processes in real time before going to production.

Explore how large language models, advanced simulations, and other evolving artificial intelligence technologies are changing the face of manufacturing and industrial production. Join Gerard Andrews alongside a panel of experts as they discuss how AI can streamline operations, enhance efficiency, and drive innovation in your operations.

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Sie sind neu in Potsdam? Auf dieser Seite finden Sie alle Informationen zum Umzug, der Stadt und den Dienstleistungen der Stadtwerke Potsdam, Ihrem Partner.

NVIDIA Omniverse, Metropolis, Isaac, and cuOpt™ together offer an “AI gym” in which users can train AI agents to help robots and humans sync with their environment to navigate unpredictable or complex events in industrial spaces.

Alphabet’s Intrinsic robotics unit is adopting NVIDIA AI and Isaac platform technologies to advance the complex field of autonomous robotic manipulation, showcasing leaps in robotic grasping and industrial scalability assisted by foundation models enabled by NVIDIA Isaac Manipulator.

NVIDIA’s robotics solutions provide tools to develop and deploy AI-powered robots, drones, and autonomous machines. From hardware solutions on NVIDIA Jetson™ to software solutions on NVIDIA Isaac™, NVIDIA’s end-to-end robotics platform lets you deploy AI-enabled robots quickly and efficiently.

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AI’s transformative power is paving the way for manufacturers to extend their capabilities in visual object inspection, on-floor activity monitoring, work cell design validation, and 3D perception for mobile robots. In this session, Erin Rapacki will provide actionable insights into deploying new AI tools for the next iteration of manufacturing automation. Learn how NVIDIA Omniverse™, NVIDIA Metropolis, and the NVIDIA Isaac™ robotics platform enable AI training, testing, and advanced applications in manufacturing facilities.

As the world’s most advanced platform for generative AI, NVIDIA AI is designed to meet your application and business needs. With innovations at every layer of the stack—including accelerated computing, essential AI software, and AI foundries—you can build, customize, and deploy generative AI models for any application, anywhere.

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Visit us at the Automate event to learn how NVIDIA’s AI platforms for manufacturing, robotics, and logistics are improving efficiency, scalability, and production across multiple industries. Be sure to attend our transformative panel discussions and education sessions.

The robotics platform is adding new foundation models, a robot learning framework, and tools for AI workflow orchestration and robot perception.

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Role Based Access improve system awareness, Collect Better Data, Reduce Downtime, Factory Automation. Less downtime and better efficiency.

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Modern applications are transforming every business, from data analytics for better business forecasting, to AI for autonomous vehicles, to advanced visualization for medical diagnosis. NVIDIA accelerated computing platforms provide the infrastructure to power these applications, no matter where they’re run.

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A workflow using Isaac Manipulator can generate grasp poses and robot motions, first evaluating them in Isaac Sim, and then executing them in the real world with the Intrinsic platform, and visualizing the process in Flowstate.

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NVIDIA Omniverse Cloud will be available as APIs, extending the reach of the world’s leading platform for creating industrial digital twins across the entire ecosystem of software makers.

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