Piyush Modi – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2022-08-21T23:52:56Z http://www.open-lab.net/blog/feed/ Piyush Modi <![CDATA[World��s Largest Manufacturing Players Tapping NVIDIA AI Platform for Factory of the Future]]> http://www.open-lab.net/blog/?p=39268 2022-08-21T23:52:56Z 2021-11-02T19:00:00Z Soon, the industrial internet will have hundreds of billions of connected industrial assets continuously operating at computer speed. This will result in large...]]>

Soon, the industrial internet will have hundreds of billions of connected industrial assets continuously operating at computer speed. This will result in large amounts of data from shop-floor machines and sensors. Analyzing operations data to predict operational anomalies, machine failures, and product quality, while improving factory floor operations with industrial AI could yield productivity…

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Piyush Modi <![CDATA[NVIDIA GTC: Industrial at the Edge]]> http://www.open-lab.net/blog/?p=38611 2022-08-21T23:52:48Z 2021-10-14T19:45:00Z AI is transforming the industrial sector. From design, supply chain, and manufacturing, to servicing of mission-critical assets, AI is expected to add $4.8...]]>

AI is transforming the industrial sector. From design, supply chain, and manufacturing, to servicing of mission-critical assets, AI is expected to add $4.8 trillion worth of economic value. The industrial use cases are rich and range from finding anomalies, detecting defects, predicting the health of factory and field assets, to detecting deviations in complex processes monitored by 1000s…

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Piyush Modi <![CDATA[Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management]]> http://www.open-lab.net/blog/?p=36890 2022-08-21T23:52:35Z 2021-09-09T19:17:02Z Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute...]]>

NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute resources, tedious manual setup efforts, and the need for technical expertise. Neural networks not only accelerate simulations done by traditional solvers, but also simplify simulation…

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