Short Term Memory

Short-term memory (STM) research focuses on understanding how information is temporarily stored and retrieved, a crucial aspect of cognitive processes and artificial intelligence. Current research emphasizes developing computational models, such as recurrent neural networks (RNNs) including LSTMs, and novel memory architectures that efficiently manage and utilize both short-term and long-term information for tasks ranging from natural language processing to robotic control. These advancements have significant implications for improving the performance and efficiency of AI systems and offer valuable insights into the biological mechanisms underlying human memory.