Countless platforms are available to kick-start AI projects. 100,000+ publications on AI topics globally cited for 2019. This is integral for quick calculation times in AI modeling. GPUs have advanced from hundreds of parallel (CUDA) cores to thousands in the last 5 years. Monolith AI + Simcenter STAR-CCM+ => Design Freedom But first, a bit about how AI has permeated into engineering simulation space from hype to proven value. In this blog, we discuss one such example in detail: using simulation data to train a machine learning (ML) model to make real-time predictions possible throughout the design space. There are many useful ways to integrate AI into a CFD space to augment productivity. Alongside our efforts to accomplish this within the simulation process, we see large dividends from investment in AI technology specifically. We know shorter time to results and better usage of existing data are two important aspirations for engineers. For engineers, product designers and computational fluid dynamics (CFD) simulation specialists, an important question is: how can AI benefit me as an engineer designing systems and hardware? AI is already transforming technology in every industry.
Artificial Intelligence (AI) For CFD SimulationsĪrtificial Intelligence (AI) is not just a buzzword anymore.