We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...
Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, multi-site recordings, enabling ...
The human brain is not a passive recorder of events, it is an active simulator that constantly rehearses futures, rewrites pasts and learns from scenes that never actually unfolded. When I look at the ...
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 ...
Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...