Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of ...

Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In ...

The hardware isn't new, but a UC Davis research team's machine learning-powered method of translating brain activity in an ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...

In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...

A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and ...

Brain tumor detection is essential for early diagnosis and successful treatment, both of which can significantly enhance patient outcomes. To evaluate brain MRI scans and categorize them into four ...

But they could definitely prove useful – both as ultra-efficient cyborg machine learning platforms, and also as remarkable new tools to test the effects of various drugs on the brain's information ...

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A new study reveals how AI analyzes routine retinal eye photos to predict Alzheimer’s lifestyle and biological risk factors decades early.