Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Marijuana breeders may be able to design new strains and speed up their growing cycles by utilizing artificial intelligence ...

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

One of the three primary annual conferences in ML and AI research, NeurIPS 2025 is taking place Dec. 2-7 at the San Diego Convention Center.

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

AI-generated avatars allow you to interact with deceased loved ones on demand — potentially for decades. A healthy grieving ...

Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...

Artificial Intelligence that detects breast cancer, enables medical imaging in low-resource countries and that identifies the ...

For decades, psychologists and social scientists have been trying to understand what contributes to people's mental health, happiness and overall feeling of well-being. Their efforts have already ...