FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Explore the evolution of additive manufacturing into a reliable, scalable aspect of modern production with AI-driven robotics ...

The importance of digital tools and simulation for successful composite parts design is well established, whether for aircraft wings, automotive bumper beams or bicycle frames. Over the past decade, ...

Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...

In the first of a four-part series, Robert Dusenbury provides an overview of how his team went about designing and producing a golf putter to demonstrate the feasibility and benefits of closed-loop ...