kiroi.org

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

Business excellence for decision-makers & managers by and with Sanjay Sauldie

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

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

Start » Physics simulation-driven AI (Glossary)
8 June 2024

Physics simulation-driven AI (Glossary)

4.2
(1233)

The term „physics simulation-assisted AI“ is particularly relevant in the fields of Artificial Intelligence, Industry and Factory 4.0, and automation.

AI supported by physics simulation describes the use of artificial intelligence that works with the aid of physical simulations. This means computer programs calculate the behaviour of things in the real world – for example, how a robot moves or how a component is subjected to stress. This allows AI to virtually run through various scenarios and learn from them, without the need for expensive or complex test runs each time.

An illustrative example is the development of new car parts in the industry. Using physics simulation-supported AI, engineers virtually test how a component reacts in a crash, instead of conducting real crash tests. The AI uses these simulations to quickly suggest many improvements. This way, products are developed faster, cheaper, and safer.

For companies looking to set up automated processes or smart factories, physics simulation-assisted AI opens up entirely new possibilities for increasing efficiency and detecting errors early on.

How useful was this post?

Click on a star to rate it!

Average rating 4.2 / 5. Vote count: 1233

No votes so far! Be the first to rate this post.

Spread the love

Leave a comment