Memory System

Memory systems research explores how information is encoded, stored, and retrieved, aiming to understand and replicate these processes in both biological and artificial systems. Current research focuses on developing AI models with enhanced memory capabilities, including those incorporating multiple memory types (e.g., episodic and semantic), external memory augmentation (like relational databases), and novel architectures such as appendable memory systems and memory-augmented graph neural networks. These advancements have implications for improving AI performance in complex tasks and offer valuable insights into the cognitive mechanisms underlying human memory.