Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

The Rector of the Milan Polytechnic, Donatella Sciuto, reveals to Domus the background of Not For Her, an installation that ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The Fed holds rates steady amid strong employment and persistent inflation above 2%. Learn why this cautious approach ...

Scientists on the ATLAS experiment explored the polarization of W bosons to test the Higgs mechanism and gain a deeper ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

The decision to buy or sell could have less to do with how the team performs on the field than the knock-on effect in Texas' ...

Data-driven algorithms can help planners make more informed decisions, but the technology comes with its own risks of error, ...

Over the past decade, health insurance companies have increasingly embraced the use of artificial intelligence algorithms – ...