Artificial intelligence is infamous for its resource-heavy training, but a new study may have found a solution in a novel ...

Traditional formal approaches to modeling distributed systems typically focus on safety (nothing bad happens) and liveness (something good eventually happens), but metastable failures remind us that ...

Our RAG implementation represents a unique approach to knowledge management through its distributed ownership model, metadata-driven query routing, and UML-enhanced knowledge base.

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems.

This paper investigates anticipatory decision for unknown distributed systems with robustness concerns. Anticipatory decision focuses on action selection before observations appear at temporal scales.