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 ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
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 .
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 ...
Combined, the resulting brain decoder could analyze a new brain scan from someone watching a video and predict the meaning ...
Artificial intelligence has written novels, driven cars, painted portraits – so perhaps it was only a matter of time before ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
These days, columnist Dagmar Munn is all about manipulating the algorithm of her brain to improve her outlook and turn down ...
Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...
The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...
A synthesis of four studies showcasing how to use artificial intelligence technologies to design collaborative learning ...
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