Reasons why Nvidia’s $3 trillion market capitalization might be undervalued

Within a scenario of “Physical AI,” a similar process occurs involving a digital replica or counterpart of a robot in a virtual realm. The process of trial and error is significantly hastened without jeopardizing individuals or machinery, allowing for a substantially higher number of trials to be conducted during the training phase. Once the robot acquires proficiency in navigating the virtual domain or is programmed to do so flawlessly, this software is transferred to a tangible robot. This physical robot can then be entirely equipped with all the experience and expertise gained in the virtual environment.

In the context of “Physical AI” within Omniverse, virtual twin factories are capable of training the robots themselves and simulating the evolution of robots that collaborate with human workers to enhance efficiency and safety, as asserted by Nvidia.

The Omniverse platform amalgamates a variety of Nvidia technologies, incorporating Metropolis vision AI and Isaac AI for the development of robots, the Isaac Manipulator, and Project GR00T for simulation and experimentation.

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AndyC

Andy Curtis is an award-winning security consultant, researcher and public speaker. He has been working in the computer security industry since the early 1990s, having been employed by state and federal government, leading healthcare and banking providers across three continents. He has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and is a regular voice on TV and radio explaining IT security threats.

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