Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

In planning, machine learning synthesizes real-time market trends and external factors to drive forecast accuracy ...

They asked them to imagine vividly, for 8 seconds, a positive or a negative experience based on a prompt sentence—for ...

Predicting the precise impact of AI on employment is fraught with uncertainty – and most of the time just plain wrong.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...