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 ...

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 ...

Dublin, Oct. 02, 2025 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Manufacturing Market by Processor (MPUS, GPUs, FPGA, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, ...

Robots are cracking eggs and making ice cream sundaes. These aren't just party tricks. The way robots learn to do complex tasks is changing, and that has profound implications for the future of ...

Harnessing the power of machine learning, scientists have developed a material testing technique that improves the accuracy of a previous technique used in manufacturing. Nano-indentation is a process ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

WEST LAFAYETTE, Ind. — Purdue Polytechnic’s School of Engineering Technology unveiled its Smart Manufacturing Labs, which will allow students to work in an interactive learning environment inside one ...

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 ...