A new AI algorithm can predict whether a person is on the autism spectrum by examining their brain scans. The algorithm can also predict the severity of symptoms and could be used as an early detection tool for ASD.
Combining AI and robotics technology, researchers have identified new cellular characteristics of Parkinson's disease in skin cell samples from patients.
Researchers have developed a new, fully automated prosthetic arm that learns during normal use and adapts to varying conditions.
AI technology helped map out diverse and subjective psychedelic experiences to different brain regions.
Training a machine learning algorithm with synthetic data for image classification can rival one trained on traditional datasets.
Findings shed light on how plastic and stable neural populations are able to co-exist in the brain.
EyeSyn, a newly developed "virtual eye" that simulates how humans look at the world accurately enough for the development of new augmented reality programs, can help create applications for the metaverse.
Researchers have successfully stabilized an enzyme that is able to degrade scar tissue as a result of spinal cord injury with the help of AI and robotics.
People have trouble distinguishing between real people's faces and AI StyleGAN2 synthesized faces. People also consider AI-generated faces to be more trustworthy.
Researchers have developed a novel hybrid machine learning approach to muscle gesture recognition in prosthetic arms.
A new deep learning algorithm that looks for the burden of genomic variants is 70% accurate at identifying specific mental health disorders within the African-American community.
A new machine-learning algorithm is helping researchers uncover the secrets of the quark-gluon plasma.
