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 ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

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 ...

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 ...

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

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

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

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

Overview Indian quantum computing companies are moving from academic research to enterprise adoption.IT leaders such as Tata Consultancy Services and startups l ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...