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 ...

Ska Fabricating reports that food manufacturers are automating processes to boost efficiency, ensure safety, and meet rising ...

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, ...

The manufacturing process is a complex one that can be impacted by many factors: supplies, equipment, factory overhead, the need for special parts, and the people who work at all points in the process ...

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 ...

Manufacturing is a fast-paced industry where success is dependent on timing and quality. That’s why it is crucial to constantly monitor every stage of the production process. Defining and tracking key ...

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 ...

Though largely operating in the background until recently, Prolific Machines’ optogenetic approach to biomanufacturing is set ...

Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Reducing supply chain forecasting errors by 50% and ...