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 ...

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 ...

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 ...

Big AI models no longer need supercomputers. How everyday laptops & mini-PCs can run and fine-tune them faster, cheaper, 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, ...

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 ...

Researchers at Baylor College of Medicine, the University of Cambridge in the U.K. and collaborating institutions have shown that serotonin 2C receptor in the brain regulates memory in people and ...

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