A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
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Living brain cells enable machine learning computations
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...
Brain age index from sleep EEG predicts dementia risk, offering a non-invasive early marker for identifying high risk ...
People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...
A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...
A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...
Tech Xplore on MSN
Brain-inspired AI hardware helps autonomous devices operate efficiently and independently
The human brain constantly makes decisions. It requires minimal power to move bodies in a desired direction or avoid an object. A Purdue University engineer uses the brain's efficiency as inspiration ...
Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...
A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...
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