Siemens and Nvidia have partnered to provide a digital twin for the industrial metaverse

Siemens and Nvidia have partnered to provide a digital twin for the industrial metaverse ...

The goal of digital twins, is to assist in the modeling of aspects of the physical world through software.

According to a Fortune Business Insights projection, the digital twin market will generate an estimated $8.9 billion in revenue in 2022, increasing to $96 billion by 2029.

Siemens, an industrial technology behemoth, has long been displaying different aspects of the real world in software, and is now looking to expand its effort to create an industrial metaverse. Today, Siemens announced a new collaboration with Nvidia to enable artificial intelligence (AI) digital twin capabilities.

Siemens' industrial design and development capabilities will be integrated with the Nvidia Omniverse platform, which allows users to create photorealistic virtual simulations.

2022 MetaBeat

On October 3-4, MetaBeat will bring together metaverse thought leaders to discuss how metaverse technology will revolutionize the way all industries communicate and conduct business.

In a press briefing, the digital twin represents the real product in a virtual representation, and the value of that digital twin is how closely we can combine the virtual world and the real world.

Siemens will be able to support the industrial metaverse through the Nvidia Omniverse.

Hemmelgarn believes that combining Siemens technology with Nvidia Omniverse will allow industrial organizations to make faster decisions.

Nvidia Omniverse and Siemens will be able to assist industrial companies in accelerating their decision-making process by eliminating physical prototypes, according to Hemmelgarn. In the past, automobile manufacturers had to develop costly prototypes in order to develop new vehicles.

While this has typically involved the use of very specific technology at a specific location, there has been a surge towards virtualization in automotive design in recent years.

With the Nvidia Omniverse, car manufacturers can now visualize the new design at any number of different locations, thus collaborating on an industrial project at a faster pace.

Siemens is the number one company in the industrial automation and industrial software industry, and because of this leadership position, we were able to offer the most accurate, complete digital twin, according to Hemmelgarn. However, with Nvidia, we can create this industrial Metaverse jointly taking the manufacturing process and the industrial automation process to a much more realistic level, leveraging AI capabilities.

Nvidia is no stranger to partnership and works actively with vendors across many industries. Rev Lebaredian, Nvidia's vice president of the Omniverse and simulation technology, commented during the press briefing that he is particularly interested in the Siemens collaboration.

Siemens is an expert in the intersection of information technology and operational technology, and thats something that we do not do, according to Lebaredian. There are things that we do, especially in the AI domain, and for real-time, that no other organization can, and so the combination of these two is truly unique.

To bring digital twins to life, photorealism is the way to go about it.

The notion of a digital twin is not new in history, although it has evolved in recent years. In his opinion, what has changed with digital twin technology is the breadth of the data that the digital twin encompasses and provides.

According to Hemmelgarn, the value of the digital twin is how close your virtual world can depict your physical world.

Nvidias Omniverse takes the concept of digital twins to another level, thanks in no small part to its photorealism for images. For Hemmelgarn, integration with Nvidia is all about making digital twins more lifelike, with real-time capabilities.

According to Lebaredian, the notion of photorealism in the metaverse should not be restricted to superficial activities such as entertainment. In the current age of AI, photorealism is critical for serious applications.

Lebaredian explained that in order to build and create intelligent AI models, we must first provide data that isn't just encoding of the experience of the environment around them. A major part of that is how the world looks.

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