While at Taiwan's Computex conference, leading tech company Nvidia announced several major updates, with the reveal of its Grace Hopper AI Supercomputer being among the most significant.
Additionally, it announced a new artificial intelligence (AI) model dubbed ACE or Avatar Cloud Engine -- a system to serve the gaming industry, which is responsible for much of the success Nvidia has experienced.
According to a blog post on the system, ACE is aimed at transforming non-playable characters (NPCs), in a way that brings them to life and makes for a unique and immersive experience for each player.
"Generative AI has the potential to revolutionize the interactivity players can have with game characters and dramatically increase immersion in games," shared Nvidia's VP of developer and performance technologies, John Spitzer, explaining that "building on our expertise in AI and decades of experience working with game developers, Nvidia is spearheading the use of generative AI in games."
As seen in the demo of the technology provided in collaboration with Convai, ACE aims to bring intelligent, unscripted, and dynamic conversations with NPCs to life. Nvidia shared that these virtual characters will have persistent personalities that evolve over time, accurate facial animations, and expressions, all delivered in players' native languages.
As a service, ACE for Games will provide developers, middleware providers, and tool creators with systems that enable them to build and deploy AI models for speech, conversation, and animation. One example of this is Nvidia Omniverse Audio2Face, which allows developers to generate expressive facial animation for game characters using only audio sources. Through Omniverse connectors for Unreal Engine 5, developers can seamlessly integrate facial animation into MetaHuman characters.
Through the integration of generative AI, the entire gaming industry is slated to see a rapid and drastic shift -- which will undoubtedly blur the lines between reality and virtual worlds, as in-game experiences become individually unique.
In related news, Nvidia reveals 40,000 pound AI Supercomputer accelerated by a single GPU.
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