Neuromorphic computing is a computational paradigm that mimics the way the brain functions in terms of both architecture and ...

Working memory is the information we need to access to complete the tasks we’re engaged in right now, and scientists think it ...

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

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

How nostalgia-evoking music helps us stay in touch with our past selves, and retrieve "the good" from "the good old days." ...

The ‘doorway effect’ suggests that when information is removed from working memory, it immediately seems to leave ...

On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...

Quantum memories, systems that store and retrieve information leveraging quantum mechanical effects, can outperform classical storage systems on some existing tasks. Yet these promising memories could ...

Back in the olden days of the previous millennium, long before the digital revolution compressed entire albums and even movies into ultra-high-fidelity files that users could download in seconds, ...

As humans and other animals experience new things, their brains continuously update their memory of past events. These updates allow them to adapt to changing environments, all while preserving older ...

⭐ If you like our project, please give us a star on GitHub for the latest updates! LightMem is a lightweight and efficient memory management framework designed for Large Language Models and AI Agents.