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

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 ...

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 ...

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 ...

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 ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

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

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

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and ...