How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now ...
Abstract: Depression is a prevalent mental health disorder, and early detection is crucial for effective intervention. Recent advancements in eye-tracking technology and machine learning offer new ...
Automated machine learning models show promise for diabetic retinopathy screening, but require careful selection and external validation.
🚩2026/05/23: We have uploaded the corresponding frame-level manual annotations for the UDMT behavioral recording dataset to Zenodo: https://zenodo.org/records ...
Everysight's Maverick AI Pro smart glasses are trying to take one of the Vision Pro's best features, but it ain't that simple. Reading time 6 minutes Smart glasses might be an increasingly popular ...
MACHINE-LEARNING models can distinguish children with autism spectrum disorder (ASD) from their typically developing (TD) peers using eye-tracking technology with 85% accuracy, a 2026 systematic ...
Scientists have long-studied the role of dopamine, a chemical in the brain that helps control learning and movement, in order to better understand Parkinson’s disease, schizophrenia, and ...
Abstract: Assessing worker skill is essential for optimizing high-complexity, low-output production tasks that are consequently difficult to automate for increased efficiency over human work.
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