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.
A bioinspired robotic eye can automatically adjust its pupil size in response to changing light levels, enabling it to recognize objects even in unevenly lit or overexposed environments. Scientists ...
You’re driving in a winter storm at midnight. Icy rain smashes your windshield, immediately turning it into a sheet of frost. Your eyes dart across the highway, seeking any movement that could be ...
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