Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

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 ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are ...

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

A collaboration will test whether changes in a person’s voice can help detect multiple sclerosis, potentially enabling a faster diagnosis.