Real-Time Physics Predictions Empowered by AI
Upgrade your browsing with AI-generated physics predictions for real-time interactivity.
Enhancing Aerodynamics With Artificial Intelligence: A Revolution in Engineering
Learn how NAVASTO’s AI technology is revolutionizing product development & EV aerodynamics. Discover the power of real-time insights for engineering.
Probabilistic Gaussian Processes – An Approach To Stable Response Surface Modelling for Noisy Processes
Response surface models based on Gaussian Kernels, such as Kriging, require the estimation of hyperparameters to fit the model to the training data. Commonly, this estimation is made by exploiting the maximum marginal likelihood (MML) function. However, this is not an easy optimization problem due to the topology of the MML function. An alternative – and more robust – approach to hyperparameter estimation can be based on Bayesian statistics.
The Future of Maritime Travel: The Next Phase in Ship Design Evolution
Ship designers face challenges like emissions regulations, efficiency optimization, and future-proof propulsion. AI advancements enable real-time prediction of flow fields and scalar quantities, accelerating product development. A pilot boat project used parametric models and simulations with CAESES and Simcenter STAR-CCM+. Machine learning models based on geometric parameters facilitated rapid design processes. This blog discusses the project, including the creation and accuracy of the Reduced-Order Model (ROM).
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