Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.

SimScale integrates Pamics solver to deliver meshless fluid dynamics simulation, accelerating workflows by 10-20x for engineers ...

Learn how smart collars and sensors track vitals to ensure a longer, healthier life, and discover how they provide real-time ...

A new AI tool analyzes biopsy images to estimate telomere length, a key marker of aging. It detects structural patterns in ...

Researchers developed a scalable framework that predicts insulin resistance using wearable-device signals, routine blood biomarkers, and demographic data, with stronger performance when these data ...

Google introduces Gemini Embedding 2, a powerful multimodal AI model supporting text, images, video, and audio to enhance ...

Around 20–40% of the general population are estimated to have insulin resistance—a condition where insulin begins to be less ...

This Research Topic is part of a series of article collections published within Frontiers in Water including: - Emerging Themes in Socio-Hydrology: Digital, ...

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict how environmental regulations will affect wetlands and streams before they ...

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

The Bison will have a tough time putting up points in our UMBC vs. Howard predictions and college basketball picks for March 17.