Factory automation plants utilize machine learning’s ability to understand and build mathematical models. These models, over time, learn to perform tasks on their own as opposed to being programmed to ...

The manufacture of high-tech solar cells and modules requires many complex production processes and materials and the volume of data in production is correspondingly high. According to five scientific ...

My colleague at the ARC Advisory Group, David White, wrote an interesting strategic report in which he explained how machine learning is helping support industrial supply chains. Machine learning is ...

Bottom line: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning’s ...

Machine learning development startup Weights & Biases Inc., whose software is used by the likes of OpenAI LLC and Nvidia Corp. to develop new artificial intelligence models, announced two major ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

(L-R) Juan Rubio, Kristin Brumbach, Joe Sanchez, and Paula Langsam, the panelists of “Libraries Ready to Code: From Research to Practice," a program at ALA's 2018 Midwinter Meeting & Exhibits in ...

The production effect refers to the robust finding that words read aloud, rather than those read silently, are more effectively encoded and later retrieved. This phenomenon is attributed to the ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Eric's career includes extensive work in both public and corporate accounting with ...