Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...

Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At the ...

Quick Read AI inference, reasoning, and larger context windows are driving an unprecedented surge in demand for both ...

In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...

Significant research is underway to improve LLMs’ memory, spanning major tech companies, research labs, and independent ...

Researchers at Mem0 have introduced two new memory architectures designed to enable Large Language Models (LLMs) to maintain coherent and consistent conversations over extended periods. Their ...

Building Generative AI models depends heavily on how fast models can reach their data. Memory bandwidth, total capacity, and ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.