Siemens is using AI to model the real world at high resolution and making it available not just as math or tables of data in a spreadsheet, but in a visual, explorable experience.
“We’re always trying to mitigate what we don’t know and put in the appropriate buffers ... but that puts us in a non-ideal situation,” he says. “We would rather clear that out and understand as best as possible the unknowns, and get to the true optimization instead of just adding buffers on top of everything.”
That’s getting easier to do, says Dion Harris, a product manager at NVIDIA. NVIDIA’s latest chips and AI frameworks are accelerating simulation modeling up to 4,000X faster than traditional ways, the company says. NVIDIA is helping to build digital twins of Siemens’ wind farms using NVIDIA Omniverse, a 3D design technology to “connect and create digital worlds,” and NVIDIA Modulus, a “neural network framework that blends the power of physics in the form of governing partial differential equations with data to build high-fidelity, parameterized surrogate models with near-real-time latency.
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