Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

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 ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

(THE CONVERSATION) When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the ...

In an effort to create a unified alternative to address these bottlenecks, Octopus, a security and intelligence software ...