Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

OVHcloud has introduced a new global Bare Metal 2026 dedicated server line built on AMD Ryzen and EPYC processors. The ...

Storytelling has always been at the heart of human culture, shaping how we share experiences, preserve history, and spark ...

Governance and regulation constitute the fifth element. The authors argue that public health AI requires dedicated oversight mechanisms addressing transparency, explainability, data protection, and ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

The rise of AI agents in everyday banking represents a transformative shift in how financial services are delivered and experienced. By enabling autonomous transaction handling, intelligent ...

Enterprise security faces a watershed as AI tools mature from passive analytics to autonomous operatives in both offense and defense. To date, traditional ...