Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...

Sometimes, we search for information in long-term memory and find it—a name, a movie title, or a vivid example to support a general conclusion. Other times, we're unable to recall what we believe we ...

A groundbreaking study has unveiled powerful strategies for enhancing memory. Researchers emphasize the importance of spatial ...

The average human brain weighs about 3 pounds and contains 80 to 100 billion neurons, which are the cells that store information. But how do these cells store information? How do we retrieve that ...

Researchers discover a neural switch in the medial septum that commands the brain to retrieve recent memories, shedding light ...

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

As AI agents move from experiments to production systems, long-term memory has emerged as a critical infrastructure challenge. Existing approaches often rely on large, expensive models to compensate ...

They obtained these results using an innovative new eye tracking technique they developed. "Our findings indicate that eye movements play a functional role in memory retrieval," says Dr. Jennifer Ryan ...

A. Overview of hippocampal dynamics during movie watching. FMRI data from the hippocampus were measured at the voxel level, and low-dimensional subspaces for two types of novelty and memorability were ...