Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

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 an increasingly digital economy, many firms are turning to algorithms and machine learning to optimise pricing, improve ...

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

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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 ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

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

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

While artificial intelligence threatens many traditional careers, a new profession is emerging with six-figure salaries and ...