Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...
Learning French, reading the latest Andy Weir novel, hanging out with friends for St. Patrick’s Day — language is central to all these everyday activities. Seemingly effortless from childhood, ...
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Human brain and AI speech recognition decode speech in similar step-by-step stages, study finds
Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...
The natural world is a rich source of inspiration for developing sophisticated computational systems, and the opposite is also true, with bioinformatics approaches providing keen insight into ...
Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
The world is full of theories of everything. The smartphone theory of everything argues that our personal devices are responsible for the rise of political polarization, anxiety, depression, and ...
Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...
Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...
Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...
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