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

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

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 ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

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

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

The quantum sector is shifting from speculative science to a commercial race, with hardware, software, and investment ...

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 ...

Before artificial intelligence started running complex systems and influencing everyday decisions, one question kept ...