In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Abstract: This paper investigates the distributed consensus control problem for linear multiagent systems with unknown system parameters. First, a time-varying estimation system is designed to ...

Discover the innovative distributed model in veterinary education with insights from LMU's executive dean, exploring its benefits and challenges for future veterinarians. On this week's episode of The ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

Abstract: This article investigates the distributed control problem for nonlinear multiagent systems (MASs) with unknown system models. A novel distributed model-free adaptive learning algorithm is ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

(venv) root@7dc30e9f3e4f:/workspace# pip3 install torch --index-url https://download.pytorch.org/whl/cu126 Looking in indexes: https://download.pytorch.org/whl/cu126 ...

Microgrids are localised network of energy loads and distributed energy resources, such as solar panels, wind turbines, and battery storage systems, that can operate independently or in conjunction ...

DLRover makes the distributed training of large AI models easy, stable, fast and green. It can automatically train the Deep Learning model on the distributed cluster. It helps model developers to ...

Describes an approach to build commercial high-performance distributed object systems over system area networks (SANs) with user-level networking. The specific platforms we use in this study are the ...