New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

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

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

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...

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

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

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 ...

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 ...