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

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

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 ...

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 ...

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 ...

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, ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of acquiring new skills or adjusting behaviors in response to positive outcomes ...

Ask ChatGPT “What color is the sky on a sunny, cloudless day?” and it will formulate a response by inferring a sequence of words that are likely to come next. So it answers, “On a sunny, cloudless day ...

As AI companies snap up memory chips, smartphone and PC makers face higher costs and tighter supply — which could lead to ...