MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

Humans are known to rapidly adapt their mental processes and behavior based on feedback they receive from the world around them. For instance, some past studies have shown that people progressively ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

Research also suggests that environment has a significant impact on attention, Sibley says, which suggests it can be tweaked ...

Scientists have found that the precise timing of electrical activity in our brains determines how well we process the world around us. This new knowledge could have massive implications for how we ...

Following driving directions or recalling a phone number are skills that require "working memory" – an executive function that helps people keep track of what they are doing. "Working memory is sort ...

Large language models (LLMs) like GPT and PaLM are transforming how we work and interact, powering everything from programming assistants to universal chatbots. But here’s the catch: running these ...

Forgetting small everyday details can feel alarming. Yet doctors say many of these moments are linked to stress, sleep loss, ...

Most people will forget a name, misplace their phone, or lose track of a conversation at some point. Usually, those moments pass without much thought. But for many adults, especially as they age, ...