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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference ...
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
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New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
Our memories are rich in detail: we can vividly recall the color of our home, the layout of our kitchen, or the front of our favorite cafe . How the brain encodes this information has long puzzled ...
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 ...
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Biology-based brain model matches animals in learning, enables new discovery
A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...
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Biology-inspired brain model matches animal learning and reveals overlooked neuron activity
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
The promise and peril of the internet has always been a memory greater than our own, a permanent recall of information and events that our brains can’t store. More recently, tech companies have ...
Human memory is amazing. Psychologists who study memory have subdivided it into several memory types. First, there is sensory memory, or memory for information coming into the brain via a sensory ...
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