From predictive analytics to autonomous control, AI is making renewable energy systems smarter, faster, and more efficient.

In diabetes care, AI has propelled the field forward through predictive modeling, decision support, and real-time glycemic ...

In an era where cloud-native architectures are at the forefront of digital transformation, regulatory compliance has become ...

Fraud tactics become increasingly complex, AI-driven fraud detection offers a promising solution to safeguard financial ...

Gaurav Naresh Mittal, AI-driven advancements in anomaly detection, predictive maintenance, and energy management are ...

Artificial Intelligence (AI) is reshaping the landscape of observability in distributed systems. Abhishek Walia, explores how AI-driven observability solutions enhance monitoring, management, and ...

AI agents develop their own communication channels beyond our monitoring frameworks, we face a pivotal challenge: harnessing ...

In the modern digital era, cloud-native architectures form the backbone of enterprise IT, enabling scalability, flexibility, ...

To address these problems, we propose a Multi-agent Collaborative Method for vehicular task offloading using Federated Deep Reinforcement Learning called MCM-FDRL. First, each vehicle as an agent, ...

Furthermore, to protect the privacy of both CSOs and EV users, a federated multi-agent deep reinforcement learning-based solution method is proposed to solve this problem. In this method, a non-profit ...