Abstract: Autism Spectrum Disorder (ASD) is a neurodevel-opmental condition that requires early detection for optimal intervention outcomes. Eye tracking technology combined with machine learning ...

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 ...

When it comes to hitting a baseball, no part of the process is more crucial than a batter’s ability to see the ball. Hitters are only granted a split second to read and react to pitches. Sometimes ...

People often seem to understand language before they have actually heard enough words to determine its structure. In everyday conversation, listeners react immediately, anticipate what others will say ...

In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Eye-tracking (ET) provides fine-grained, real-time indicators of how school-age students allocate visual attention during learning, yet its translation into school-based assessment and intervention ...

Mobile eye-tracking is a valuable method that holds significant potential for understanding informal learning in applied environmental science settings, yet it remains underutilized. In this paper, we ...

Abstract: Catching eye diseases early on makes a huge difference. Things like diabetic retinopathy, glaucoma, cataract, and age-related macular degeneration can lead to serious vision loss if not ...