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 ...

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 ...

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

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

AI writing tools have become part of almost every workflow. Students use them to brainstorm essays, businesses rely on them ...

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 ...

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

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

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...