Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

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 ...

Combined, the resulting brain decoder could analyze a new brain scan from someone watching a video and predict the meaning ...

The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to ...

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 ...

Researchers are developing an AI and IoT system to modernize Indian agriculture. This "smart farming" technology uses soil ...

Artificial intelligence has written novels, driven cars, painted portraits – so perhaps it was only a matter of time before ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Fraunhofer researchers have developed a system that uses sensors and AI to monitor a driver's cognitive load. In the future, ...