Nvidia could become Google of the metaverse with AI search engine

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Nvidia is showing signs that it wants to be the Google of the next-generation 3D Internet, which is projected as an upgrade from the current 2D Internet.

The company has developed a contextual search engine for three-dimensional (3D) data called DeepSearch, which it may bring to the public internet in the future. The search engine targets 3D data, which can be images, graphics, and other contextual data.

DeepSearch is a “modern, scalable, AI-powered way to search the vast amounts of 3D data that was previously obscure to many companies and people around the world in their catalogs,” said Rev Lebaredian, vice president of DeepSearch. ‘Omniverse and simulation technology at Nvidiaduring a call with the media.

Nvidia is becoming a major player in creating the 3D version of the internet, widely referred to as the metaverse. The metaverse is considered a virtual universe where avatars can work, play and interact. Games like Minecraft and Fortnite, and virtual reality platforms like Roblox, are considered early instantiations of the metaverse.

“We’ve built the core technology that allows us to search 3D data that was previously impossible to search. You can use natural language text to search. You can use images to search for similar items in the 3D catalog,” Lebaredian said. datanami.

Nvidia enables AI-based visual and text search with its DeepSearch engine

Facebook is betting its future on the metaverse as its once-hot 2D social media assets lose ground to platforms like Tiktok. Microsoft buys game company Activision Blizzard for $68.7 billion to expand into the metaverse realm.

Nvidia is sharing more information about DeepSearch at the SIGGRAPH conference this week in Vancouver, Canada, where it announced the software’s availability to customers.

“Over time, we will make this technology available to the public as well as through various other services. It’s up to you. What we are showing and announcing here is the core technology. How it ends up reaching everyone is going to evolve over time,” Lebaredian said.

DeepSearch will initially be available for its Omniverse customers to install on corporate premises without exposing it to the general public, Lebaredian said. Omniverse is a global brand used by the company to bundle its 3D software offerings.

Last year, Nvidia described DeepSearch as a search engine for a library of 3D assets that can be searched via text or by dragging and dropping an image. This feature makes it easier for game developers to search for 3D graphics that it can drag and drop into environments.

The DeepSearch spider uses AI technology to crawl 3D model tags and automatically adds contextual tags by searching all content associated with 3D models. The system uses deep learning to classify, index and retrieve objects in 3D models.

The idea of ​​a search engine for the metaverse is not new. Ludo focuses on Web3 concepts such as NFTs and cryptocurrency, which are considered the foundations of e-commerce in the metaverse. Canadian company Flagship laboratories is building a metaverse search engine to “discover places, friends, experiences and events on the spatial web,” the company said on its website.

Nvidia’s search engine enriches discovery by digging deeper to extract context from assets in the 3D world.

Nvidia uses SIGGRAPH as a launchpad for many metaverse offerings. Metaverse changes the way Nvidia thinks about graphics creation and distribution, and throws in a healthy dose of AI to make graphics delivery faster and more efficient.

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