If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

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 ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

How Can Non-Human Identities Transform Cybersecurity Strategies? Have you ever wondered how Non-Human Identities (NHIs) are becoming a cornerstone in building robust cybersecurity frameworks? With ...

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 ...

My home is much better with well-applied artificial intelligence, making things safer and saving money. Here's where AI is finally proving itself.