Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

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

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 ...

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.

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

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

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

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Forests are key regulators of the Earth’s carbon and water cycles, yet their resilience is increasingly challenged by global warming, recurrent heatwaves, ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...