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

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 ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning (ML) is being used in separation science, we interviewed Emery Boston from ...

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.

The AACE consensus statement emphasizes improvement of overall health in addition to weight reduction among adults with obesity and adiposity-based chronic disease.

Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

Seven-time world champion Lewis Hamilton believes spectators will struggle to decode how much 2026 F1 car performance is down ...

While some industries have been slower to explore how they might use AI in their operations, the financial services sector ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

An informational overview examining category context, publicly available product disclosures, and what consumers often ...

Leading manufacturers are responding not with generic devices, but with precisely engineered solutions tailored to distinct ...