AI is revolutionizing flood victim searches by rapidly scanning drone imagery to pinpoint debris that may hide bodies, enabling responders to focus their efforts where it counts.

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and ...

Recent successes in applying computer vision and machine learning to drone imagery for rapidly determining building and road damage after hurricanes or shifting wildfire lines suggest that AI could be ...

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Among the five machine learning classification models (— Extra Tree Classifier, Logistic Regression, Ridge Classifier, SVM, and Voting Classifier) — the goal was to determine the most effective in ...

A breakthrough study has developed a model that accurately predicts the failure of lithium metal anodes using electrochemical curve data from just the first two cycles. The model offers new insights ...

This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based ...