For instance, when a user requests 'Guangxi travel planning,' the system first calls upon the edge travel domain large model ...

Recently, Akashi released the detailed technical architecture of its 'Edge Large Model + Agent' system, sparking widespread attention in the industry regarding the integration of distributed AI and ...

For AI agents to function effectively at the edge, they require structured and reliable context about the environments in ...

The goal of this project is to extend the traditional graph-based distributed computing models and algorithms to develop a unified model to study cyber-physical systems. The unified models will ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

DiLoCoX from 0G Labs sets a new decentralized AI standard, boosting accessibility and scalability with blockchain integration.

Distributed computing allows components of software systems to be shared among multiple computers and run as one system, thus improving efficiency and performance. But while distributed computing ...

This involved breaking distributed systems into different classifications and then discussing the trade-offs between each of them. These included timing models, failure modes and more.