Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

Two of the most experienced operators in commercial credit risk and data engineering join the founding team of the first credit rating agency built for the state-regulated cannabis industry ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

Revenue cycle management company Ensemble Health Partners landed a new investor. | Bloomberg reported earlier this month that ...

Air pollution appears to be a stronger predictor of cardiovascular emergencies than weather conditions alone, a new study that analyzed 23 years of environmental and health data in Taiwan showed. A ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Artificial intelligence hurricane forecast models learn as they go, sharpened 2025 predictions and helped people act sooner ...

A new machine learning framework could help financial institutions identify suspicious credit card transactions with greater accuracy and resilience, according to a new study published in the journal ...