Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

The Paragon Health Institute, a conservative health policy think tank, has launched an AI Initiative that will deliver market ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

ABSTRACT: In Côte d’Ivoire, coconut cultivation represents both a major cash crop and an important source of subsistence for rural communities. However, coconut plantations are increasingly threatened ...

Abstract: Graph machine learning has been extensively studied in both academia and industry. Although booming with a vast number of emerging methods and techniques, most of the literature is built on ...

College of Engineering, Department of Computer Science, University of Illinois Chicago, Chicago, Illinois 60607, United States School of Public Health, Division of Environmental and Occupational ...

Abstract: One of the major challenges in using photoplethysmography (PPG) sensors for heart rate monitoring in real-world settings is ensuring signal quality. This work evaluates and compares quality ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...