Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

SNS Insider projects the U.S. Agentive AI in Healthcare Market to grow from USD 200.22 Million in 2024 to USD 3957.44 Million by 2032, at a CAGR of 45.16%.Austin, Nov. 07, 2025 (GLOBE NEWSWIRE) -- ...

Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...

Concern gripped advertisers Nov 4, 2025 after Integral Ad Science expanded measurement across Snapchat. The move matters ...

The AI products that succeed are rarely "moonshots." Success comes from a systematic framework that pairs business metrics ...

AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

A stacked chip captures, encrypts, and searches image data directly on hardware, combining photodetection, memory, and key ...

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

A comprehensive review published in Brain Medicine illuminates the intricate connections between gut microbiota and sleep ...