The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Controlling machine learning in a finance environment requires stakeholders' commitment to creating a strong ethical foundation.

AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer engagement and data-driven decision making.

Developing generative AI applications is very different from developing traditional machine learning applications. These are the steps.