Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students' work reflects their own understanding; consumers want to know whether an ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...