In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

Physicists have spent the last 20 years pondering an apparent discrepancy between experimental results and theoretical ...

Embed technical assurance into vendor contracts, requiring evidence of performance/robustness/bias testing, transparency ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...

AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...

The University of Virginia’s Board of Visitors’ Buildings and Grounds Committee on Thursday reviewed the schematic design of the School of Data Science Entrepreneurship Building, proposed for the ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

The takeaway: Microsoft and other data center operators are racing to develop new methods for storing massive amounts of data on permanent media. Redmond is pursuing a technology based on glass and ...