Artificial neural networks based on human brain dynamics can outperform current deep learning models in learning capabilities.
A new software framework incorporates dendritic properties and mechanisms into large-scale neural network models.
A newly developed machine learning model can predict the words a person is about to speak based on their neural activity recorded by a minimally invasive neuroprosthetic device.
Combining machine learning technology with neuroimaging data, clinicians will be better able to fully analyze a patient's glioblastoma brain tumor and predict cancer progression.
Using machine learning technology, researchers provide new insight into the neural mechanisms that govern anger and aggression.
OpenAI's ChatGPT program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia.
Using advances in machine learning, researchers have created a new model that predicts the ease with which individuals produce and comprehend complex sentences.
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.