To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

THIRUVANANTHAPURAM: In a bid to shift to predictive policing using artificial intelligence, the CCTNS team of the State Crime Records Bureau has ventured into d ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...