Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Using data analytics to understand precious metals markets has become a key advantage for investors seeking more accurate forecasts. This article explores how d ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Mastercard has developed a transaction-specific AI model to detect fraud, enhance loyalty programmes and deliver personalised ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

Trading autonomously, in real time, at a scale no human desk can match. Right now, an algorithm is reading macro signals, analysing sentiment, and executing positions before an analyst finishes their ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

AI agents are now placing trades on prediction markets through the same APIs that human developers use, and regulators are scrambling to keep pace. Platforms like Kalshi and Polymarket have built ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...