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 ...

A longevity-linked metabolite restored key memory processes in Alzheimer’s models, highlighting aging biology as a promising therapeutic target. Singapore ranks among the countries with the longest ...

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

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 ...

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

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, ...

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 ...

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

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...