While long-term memory can store a huge amount of information, the amount of details contained for ready usage in working memory is thought to be relatively limited. There are differing models of ...

A groundbreaking new AI model surpassing Transformers with brain-inspired memory and adaptive attention mechanisms.

Long-term memory is information encoded in the brain on the time-scale of years. It consists of explicit (declarative) memories that are consciously reportable and depend heavily on the medial ...

This is where memory models become important ... within the 64KB segment implied “by context” and are 2-byte long. For example, an instruction like JMP 12829h does not usually need to carry ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

But after more than a century of intense study how much to we really understand about how and where our long-term memories are stored and retrieved? When we talk about memory we're really talking ...

A computational model explains how place cells in the hippocampus can be recruited to form any kind of episodic memory, even when there's no spatial component.

Universal Transformer Memory uses neural networks to determine which tokens in the LLM's context window are useful or redundant.