IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

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 .

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

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

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.

In a proud moment for Assam and the entire Northeast, 16-year-old Huma Abia Kanta, a class 12 student of Royal Global School, ...