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 .
Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...
Discover how drones and AI are revolutionizing Indian agriculture, enhancing yields and sustainability through precision data-driven farming.
AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
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 ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
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 ...
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