Using machine learning tools to analyze hundreds of proteins, researchers have identified a group of biomarkers in blood that could lead to an earlier diagnosis of children with autism spectrum ...

AI machine learning can predict Autism Spectrum Disorder (ASD) risk in children under 24 months old with nearly 80% accuracy.

Our objective is to improve chroma intra-prediction using ML. Intra-prediction exploits redundancies within a video frame by predicting the content of specific areas using the neighbouring pixels.

Intensive education is the best way of reducing autism symptoms in children, but it can be costly, which is why Turkish startup Otsimo decided that free, open-source games could really help.

A YourStory Tech30 startup for 2020, Gurugram-based CogniAble provides two solutions: early automated screening for autism and digital therapy management.

Using EEGs to diagnose autism spectrum disorders in infants: Machine-learning system finds differences in brain connectivity Date: February 23, 2011 Source: Children's Hospital Boston Summary: A ...

An MIT study says those with autism may have difficulty making predictions, which has never previously put forth as an autism cause.