Our brains handle vast amounts of complicated information. So, how exactly does the mind make sense of all the many things it has to deal with? While there are a few different ideas, information ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Adaptive memory refers to the idea that human memory systems have been shaped by natural selection to prioritise information relevant to survival and reproductive success. A prominent demonstration of ...

Richard Addante, who has spent more than a decade researching episodic memory—the cognitive process that involves processing and retrieving long-term memory—has identified a new kind of human memory ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Google TurboQuant reduces memory strain while maintaining accuracy across demanding workloads Vector compression reaches new efficiency levels without additional training requirements Key-value cache ...