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 ...

The impact that the process manufacturing industry has on society today should not be underrated. Process manufacturing is a production method that uses formulas or recipes to produce goods through ...

They developed a machine-learning system that uses computer vision to watch the manufacturing process and then correct errors in how it handles the material in real-time. They used simulations to ...

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 ...

Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between batches of identical material. Empa researchers Giulio ...

To improve plant floor productivity, manufacturers have typically focused on finding ways to optimize individual assets using metrics associated with overall equipment effectiveness (OEE). Over the ...

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 ...

ocated 90 minutes west of Tokyo in the shadow of Mount Fuji, Oshino, Japan, is home to 9,000 people—which means that in any given year, the robots produced at the town’s FANUC plant outnumber humans ...

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 ...

Technological innovations throughout the past several decades have transformed the pharmaceutical manufacturing process from traditional batch production to ...