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

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 ...

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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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

Learn how AI-driven personalization transforms customer loyalty. Explore predictive modeling and data strategies for ...

Competition law has long treated communication between competitors as the lifeblood of collusion. The more transparent rivals become about pricing intentions, the greater the risk of coordinated ...

The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning ...

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 ...

Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible prenatal monitoring in underserved communities.