Compliance functions are typically built around individual regulatory requirements — privacy here, AML there, sanctions somewhere else — with each ...

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease. In a new study from Linköping ...

Monotonicity constraints represent a vital form of prior knowledge in machine learning, particularly within classification tasks where a natural ordering exists among class labels. In such contexts, ...

Abstract: The need for analyzing a sonar dataset using machine learning algorithms arises from critical applications such as naval operations, marine exploration, and environmental monitoring.

Abstract: As per the statistics provided by the U.S. Depart-ment of Energy, the transmission system of the United States com-prises roughly 160,000 miles of high-voltage transmission lines. Regular ...

The application of machine learning techniques and remote sensing imagery has significantly improved land cover classification and urban monitoring, especially in the context of urban planning, ...

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...