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Fascinating new neuroscience model predicts intelligence by mapping the brain’s internal clocks
Your brain keeps time on multiple scales. New research reveals that synchronizing these internal clocks with the brain’s physical structure is crucial for efficient thought and cognitive flexibility.
This research presents a groundbreaking approach to addressing the zero-shot cross-domain cognitive diagnosis (ZCCD) challenge in intelligent education systems through the innovative application of ...
In a recent study published in the journal NPJ Digital Medicine, researchers have developed a deep learning algorithm capable of analyzing high-resolution images of retinal vasculature to detect ...
Combining large language models with traditional methods enhances accuracy in identifying early signs of cognitive decline, offering new hope for early diagnosis. Study: Enhancing early detection of ...
Computational cognitive models typically focus on individual behavior in isolation. Models frequently employ closedform solutions in which a state of the system can be computed if all parameters and ...
We humans aren't the only ones to experience cognitive decline as we age. Research conducted by neurologists and data scientists reveals that some artificial intelligence models struggle with visual, ...
Recent breakthroughs in artificial intelligence have uncovered surprising geometric structures within large language models (LLMs) like ChatGPT. These findings offer a new perspective on how these ...
Language and thought are intricately intertwined, creating a complex tapestry that shapes our cognition. While it is evident that thought can exist independently of language, particularly in the ...
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