Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

With over 3 gigawatts of grid assets already under management, Splight aims to use the fresh capital to accelerate the deployment of Dynamic Congestion Management™ on grid systems across U.S. and ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

AI is transforming electronic design workflows - but not evenly. Some teams are racing ahead with AI but others remain stuck ...

Reduced Instruction Set Computer (RISC).25 Simplified instruction sets enabled faster microprocessors. Today, 99% of all ...

Take a moment and think about the color of your wooden deck when you moved in or had it installed. Now think about its current color. If those colors don't match, whether it's due to mold, mildew, ...

Manufacturing Hazards, Food and Beverage Industry, Workplace Risk Assessment, Hazard Identification, Hazard Control Measures, ...

The United States hopes to use machine learning to create and distribute propaganda overseas in a bid to “influence foreign target audiences” and “suppress dissenting arguments,” according to a U.S.