Learn how engineers improve manufacturing procedures and minimize tooling and material costs on-demand.
The convergence of mechatronic and system-based engineering with advances in data management, artificial intelligence (AI), machine-learning (ML) and increasingly connected manufacturing is challenging traditional industrial product development and manufacturing processes.
Self-driving is becoming more and more realistic. Every day, thousands of autonomous vehicles are being tested on the roads by companies like Waymo, Cruise, Uber, Tesla, and some of those companies have accumulated millions of miles of road testing data, enhancing and validating their autonomous “brain”, with the hope that in the near future, full automation can be achieved.
This paper outlines what Machine Learning (ML) and Artificial Intelligence (AI) is in the context of virtual manufacturing and CAE, and how ML models can shorten the simulation lifecycle dramatically across all industries.