Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
A new artificial neural network aced a wine tasting test and promises a less energy-hungry version of artificial intelligence, researchers report.
A new AI algorithm used fMRI data to identify novel brain patterns linked to mental health disorders.
Researchers used classic fables and short stories with moral implications to test and assess human-like reasoning in artificial intelligence.
Researchers say they have created the most bio-realistic and complex computer models of individual brain cells.
Using artificial neural networks to analyze neuroimaging data, researchers are able to accurately determine biological age.
Most AI models are unable to represent features of human vision, making them worse at recognizing images.
A new machine learning algorithm can predict the in-game actions of volleyball players with 80% accuracy.
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.
