The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

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 ...