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AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

8 June 2024

Physics simulation-supported AI (Glossary)

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The term "physics simulation-based AI" is particularly relevant in the fields of artificial intelligence, industry and Factory 4.0 as well as automation.

Physics simulation-based AI describes the use of artificial intelligence that works with the help of physical simulations. This means that computer programs calculate the behaviour of things in the real world - for example, how a robot moves or how a component is stressed. This allows an AI to run through various scenarios virtually and learn from them without the need for expensive or time-consuming test runs each time.

An illustrative example is the development of new car parts in the industry. With the help of physics simulation-supported AI, engineers virtually test how a component reacts in the event of an impact instead of carrying out real crash tests. The AI uses these simulations to quickly suggest many improvements. As a result, products are developed faster, cheaper and safer.

Especially for companies that want to set up automated processes or smart factories, physics simulation-based AI opens up completely new opportunities to increase efficiency and detect errors at an early stage.

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