A new machine learning algorithm can predict the in-game actions of volleyball players with 80% accuracy.
New machine learning models assess the connection between hundreds of clinical variables, including doctor visits and health records for seemingly unconnected conditions, to predict the likelihood of ASD in young children.
Researchers interested in musical characteristics associated with sleep music and the effects of musical structure on sleep are working together using neuroscience, AI, and sleep medicine to create "super lullaby" soundscapes.
A novel deep learning method that uses graph convolutional neural networks (gCNNs) can predict cognitive function based on the brain's size and structure. The algorithm may provide insights into the relationship between brain morphology and different cognitive functions, as well as declines in cognitive function.
"Off-line" periods during AI training mitigated "catastrophic forgetting" in artificial neural networks, mimicking the learning benefits sleep provides in the human brain.
New AI technology is able to detect changes to the retina and predict the risk of retinal vein occlusion. Researchers say the technology could also be used to detect heart attack and stroke risks.
Using advances in machine learning, researchers have created a new model that predicts the ease with which individuals produce and comprehend complex sentences.
OpenAI's ChatGPT program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia.
Using machine learning technology, researchers provide new insight into the neural mechanisms that govern anger and aggression.