A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

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 ...

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

Since the third Gaia data release in 2022, wide binary stars with separation greater than several thousand astronomical units ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Explore the 2026 evolution of football data. Learn how Bayesian models, xT metrics, and biometric sensors are transforming match ...

Here's a statistical challenge worthy of a grandmaster: How do you create an accurate ranking system when the best players ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Built by IIT alumni and engineers from Flipkart and Uber, padho.ai has launched an AI-powered learning platform that combines ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...