Tag: Machine learning

Researchers at University of Toronto Engineering are leveraging machine learning to improve additive manufacturing

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials

Senvol recently demonstrated a machine learning approach to material allowables development that was shown to be more flexible, cost-effective, and time-effective than the conventional approach.

A new research project named Swedish Metal is being launched by Sandvik, SSAB and the University of Skövde. Artificial Intelligence, Big Data and machine learning will allow unique and comprehensive production data analyses to be made. These analyses will hopefully show new cause-and-effect relationships – which can lead to more efficient and sustainable steelmaking processes.