Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

DNA methylation data can be used to estimate biological age, but results across commercial tests differ, raising questions ...

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...

Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate ...

Abstract: With the increased application of machine learning (ML) algorithms to decision-making processes, the question of fairness of such algorithms came into the focus. Fairness testing aims at ...

Abstract: Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based on individual performance.

The results of research by a University of Warwick-led team warn that popular deep learning systems trained for cancer pathology may be falling short on predictive accuracy because they are missing ...

Machine Learning (ML) is a subset of Artificial Intelligence that allows computers to “learn” from data. Ordinarily, in programming, we provide data and the expected output, and the machine does the ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

Global public health is formidably threatened by antimicrobial resistance (AMR). Antimicrobial susceptibility testing (AST) is characterized by its long duration. Matrix-assisted laser ...