Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot risky activity, protect players, and keep systems fair. It breaks down complex ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

When I see self-driving cars, space-based internet coverage anywhere in the world, a push for Mars, robotics and aggressive ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

A decade ago, the NFL’s “Next Gen” journey started with hardware. The league embedded RFID chips into every player’s shoulder ...

Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...

AI can automate scientific experiments quickly, efficiently and accurately – but what are we losing in the process? Here’s how to strike a balance ...