AI fluency requires an alignment of toolset, skillset and mindset. The distinction between the business side and the tech ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

AI accelerates aerospace engineering by cutting design cycles and improving performance through data-driven optimization.AI ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

AI only creates lasting value when it is woven into the flow of work. Retail and CPG companies must redesign processes so AI ...

FDA has taken steps to embrace AI in 2025, announcing in December that it will be providing agency staff with agentic AI ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

One of the emerging leaders in pharmacology and drug discovery, Victor Omoboyede, has developed a patented bioinformatics ...

Think tank IMPI defends its 14% inflation forecast, citing data-driven analysis of economic reforms and a predictive ...

Abstract: This study tackles the challenge of optimizing light emitting diode (LED) street lighting to enhance energy efficiency without compromising safety and comfort in dynamic urban environments.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

As is our end of year tradition, we’ve gathered together some industry spokespeople to tell us what they think the biggest ...