The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach reconstructs ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

A simple stool sample may hold a clearer record of what you eat than a food diary ever could. In a new study, researchers analyzed the “faecal metabolome,” the mix of small molecules in stool created ...

Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...