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

Visual Anomaly Detection with Self-Attention and Separate Memory Bank

Abstract: Declining birthrate and aging populations are progressing all over the world. This has led to labor shortage, making visual inspections more challenging in various industries. Recently, ...
IEEE

GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians

Abstract: Constructing a high-fidelity representation of the 3D scene using a monocular camera can enable a wide range of applications on low-energy devices, such as micro-robots, smartphones, and ...