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 ...
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Long-term memory is not an ‘on/off’ switch, it’s formed by cascade of molecular timers: Study
Brain researchers long knew that the model for studying memory oversimplified the complex processes that the brain uses to decide what to keep and for how long. A new study demonstrated “a cascade of ...
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 ...
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 ...
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