The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

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 ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

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 ...

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 ...

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

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are ...

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

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

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