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 ...

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 ...

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, ...

There’s too much talk and not enough action around Industry 4.0, it’s all vision and almost no delivery. That’s the view of manufacturing visionary and Forbes 30under30 recipient Theo Saville, ...

50% of companies that embrace AI over the next five to seven years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to ...

Companies worldwide are investing in artificial intelligence (AI) and machine learning to drive business growth. While adoption has expanded across many industries, manufacturing has emerged as a ...

Incus’ Lithography-based Metal Manufacturing (LMM) aims to combine precision, surface quality, and scalable metal AM ...

The company presents its comprehensive Machining Transformation (MX) strategy in Hall 27, Booth A36.

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 ...

Machine learning tackles laser process variability Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between ...