AI & ML
“ Together with GM, we’ re transforming transportation, from vehicles to the factories where they’ re made”
JENSEN HUANG CEO, NVIDIA
in developing and testing autonomous systems. By creating virtual environments that accurately replicate real-world conditions, developers can train AI models more efficiently than would be possible using physical testing alone, significantly reducing the time and resources required to bring AI-driven solutions to market.
How digital twins redefine AI development The concept of digital twins represents a fundamental shift in how organisations approach AI development and implementation. Traditional methods relied heavily on physical testing and iterative deployment, processes that consumed time and resources while limiting the scope of possible scenarios an AI system could encounter before deployment.
With Omniverse, companies can create virtual representations of entire operational environments, simulating everything from the movement of autonomous vehicles to the interaction between robots and humans. These simulations can be adjusted and refined rapidly, allowing engineers and AI specialists to explore multiple configurations and optimise for efficiency, safety and functionality.
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