Can the Omniverse help us make a better world with a digital twin?

Most of our focus on GamesBeat is … well, games. Sports are a huge part of the current world and, interestingly, lead to unexpected innovations. As the world’s interest in gaming technology grows, more time and money are poured into its development. For example, when I first saw Kinect, I never expected to read about how it is used in the operating room to help surgeons. It leads us to the universe.

“Omniverse is our platform for collaboration and simulation,” says Richard Caris, vice president of Omniverse Development Platform at NVIDIA. “It’s designed as an open, connected platform that works with third party products. We do not change the workflow, we expand and enhance existing tools by connecting them to Omniverse. We have over 20 years of NVIDIA technology that is part of that platform. AI, multi-GPU rendering, the ability to collaborate worldwide, such stuff. “

There are obvious advantages to being able to design and test products in the virtual world. Risk removal and cost from testing is a bonus enough, but NVIDIA does not plan to stay there.

“Omniverse is one of the most widely used digital twins,” Caris continues. “Solving problems on NVIDIA and facing big tasks and challenges is part of our DNA. We can help the world better. Obviously, climate change is one of the challenges we all face. So Jensen (Jensen Huang, CEO and President of NVIDIA) decided that we would take our digital twin and take it to the next level of making the earth a complete digital twin. It is a huge undertaking. Its primary purpose is to study the environment and to study climate change and to be able to understand and learn what is happening in the twins so that we can better build the physical world. “

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Although tackling the problems of climate change is a big reason for making the Earth a digital twin, there are also far fewer catastrophic uses. One such case, which may be of interest to operations managers around the world, is brought to us by Nivedita Ojha, VP of Platform and Data Strategy at Autodesk.

Oza says, “We are in the business of design, make and operate. “Once you get into the Mac, once the factory is complete, we’re focused on providing digital twins at the end of the process. At this point the use case is mostly focused on providing this digital twin for asset management. As we complete any major industrial project, there is not only asset management – there are also HVAC as well as IoT devices to understand. Is also moving towards expansion in the field of sustainability. How we reuse, recycle and reduce everything we make. “

Working closely with NVIDIA is an epic game and an unrealistic engine. Both projects use USD (Universal Scene Descriptor) type file created by Pixar as their standard, so moving assets back and forth is not very difficult. Unreal has been adopted a bit outside the gaming industry, being used mostly in video production but also in other markets.

“We’ve seen, in the advertising and marketing space, car companies realize that with the digital twin of a car, they can create almost perfect marketing variables,” says Mark Petit, GM of Unreal Engine for Epic Games. “Synthetic photos, car configurator, VR experience, large 26k rendering and even commercials can be created from that data set.”

Learning environment

There has been a lot of talk about self-driving cars over the last decade or so. Delivery companies around the world are very interested in self-driving trucks for transportation or drones for delivery. However, real world testing has big downsides. For example, Tesla has prompted some headlines, for better or worse, with its self-driving functionality. Caris sees a world in which we can train and simulate without spending money or human life.

“We’ve created digital twins from different environments for cars so we can have multiple cars in that synthetic world,” says Caris. “Driving and learning from weather conditions and all sorts of things.”

One of the great advantages of having the ability to create digital twins in Omniverse is something that most people have not noticed – the ability to train AI for the tasks we need to do at a very fast rate.

“The same is true in the robotics scenario,” Carris added. “Using the digital twin of the physical world, be it a city block, a rural area, an object or a factory, gives you the ability to do things in that digital world before committing to spending in the physical world.”

Using omniscience for the betterment of our species is a noble, and hopefully inevitable, goal. We’ve touched on just one part of this discussion, so please check out the full discussion at the GB Summit: Into the Metavers 2!

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