Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

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

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

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 .

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

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Traditional breeding and genetic modification methods have struggled to keep pace with the rapid evolution of plant viruses. CRISPR/Cas systems, originally derived from bacterial immune responses, ...

The initiative marks one of the biggest technology-led education reforms since the rollout of the National Education Policy ...