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

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 ...

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 ...

A large hospital-based cross-sectional study examined whether routinely measured serum alkaline phosphatase can indicate ...

Imagine standing on top of a mountain. From this vantage point, we can see picturesque valleys and majestic ridges below, and streams wind their way downhill. If a drop of rain falls somewhere on this ...

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...

Using cutting-edge algorithms and exascale supercomputers, researchers have created the most realistic simulations yet of matter flowing into black holes. Building on decades of research, a group of c ...

Associations Among Digital Health ...

Holographic neuronal stimulation shows that auditory cortex neurons with shared functional properties rapidly adjust their responses during sensory processing, revealing a circuit-level mechanism that ...