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

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

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

Catalysis is key to address today’s most pressing environmental and public health challenges; from pollutant degradation and clean water generation to ...

Silly humans, we don’t like change, even when it’s beneficial and necessary because there’s a chance new inventions might not work as well as old practices. Or, some added e ...

Rivals do not need to break into a server room to steal an artificial intelligence model. A growing body of peer-reviewed research shows that simple, repeated queries to a publicly available ...

Executives have more trust in the central bank's board than their smaller-bank brethren, according to American Banker's 2026 Predictions report.

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...

Abstract: This paper presents a predictive model for cricket player performance utilizing machine learning techniques to optimize team selection for competitive matches. By analyzing historical ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...