Semantic Memory

Semantic memory, the cognitive system responsible for storing and retrieving general world knowledge, is a focus of intense research aiming to understand its computational mechanisms and build artificial systems that mirror its capabilities. Current efforts involve developing dynamic neural networks, often incorporating memristors for energy efficiency, and leveraging techniques like manifold learning and hierarchical memory structures (e.g., short-term, episodic, and semantic memory systems) to model its associative and efficient nature. These advancements hold significant implications for improving artificial intelligence, particularly in areas like natural language understanding, robotics, and efficient data processing, by enabling more robust and adaptable systems capable of lifelong learning and complex reasoning.