GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs

Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
IEEE

Memory Fusion Sampled-Data Control of Fractional-Order Heterogeneous Multiagent Systems Subject to DoS Attacks and Time Delays: A Resilient Binary Sampled-Data Scheme

Abstract: Sampled-data control of heterogeneous fractional-order (FO) multiagent systems (MASs) under nonidentical denial-of-service (DoS) attacks and time delays is investigated in this study. Based ...