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 ...

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 ...

Despite the versatility of fluoropolymers in demanding, high-performance applications under harsh environments, many of them have been classified as per- and polyfluoroalkyl substances (PFAS) and are ...

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 ...

Thailand’s manufacturing sector is facing a new wave of challenges and pressure. RX BITEC therefore invites entrepreneurs and ...

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 ...

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 ...

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 ...

For decades there have been five basic types of manufacturing processes. They are distinct. Great design engineers understand the nuances of these processes and tailor their designs accordingly. There ...