We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

Abstract: This research focuses on Healthcare and Artificial Intelligence, more especially Medical Data Analysis and Predictive Analytics. It analyses patient data for early disease diagnosis and ...

Cape Town based candidates only. The Senior Data Scientist will be responsible for developing, validating, and operationalizing advanced machine learning and AI models that support strategic business ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

Abstract: The implementation of systems designed to detect cyber crimes has become essential for banks and other financial institutions. A variety of approaches have been proposed to combat the ...