AI has created a sea change in society; now, it is setting its sights on the sea itself.
AI has created a sea change in society; now, it is setting its sights on the sea itself.
Researchers at Osaka Metropolitan University have developed a machine learning-powered fluid simulation model that significantly reduces computation time without compromising accuracy. Their fast and precise technique opens up potential applications in offshore power generation, ship design and real-time ocean monitoring.
Accurately predicting fluid behavior is crucial for industries relying on wave and tidal energy, as well as for design of maritime structures and vessels. Whilst particle methods — which allow particles to simulate the behavior of fluid flow — are a common approach, they require extensive computational resources, including processing power and time. By simplifying and accelerating fluid simulations, AI-powered surrogate models are making waves in fluid dynamics research.
However, AI is not without its flaws.
Read more at Osaka Metropolitan University
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