Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...

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

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.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...

What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

The ability to turn experiences into memories allows us to learn from the past and use what we learned as a model to respond appropriately to new situations. For this reason, as the world around us ...