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

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

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

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 ...

Researchers identified a gene niche that promotes liver tumorigenesis and built a machine-learning score to detect it. The model predicted cancer risk and recurrence with high accuracy using non-tumor ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. The ...

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

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

XRP price is riding a wave of renewed altcoin momentum, and machine learning algorithms suggests further upside potential by March.

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...