Using artificial neural networks to analyze neuroimaging data, researchers are able to accurately determine biological age.
Researchers say they have created the most bio-realistic and complex computer models of individual brain cells.
Researchers used classic fables and short stories with moral implications to test and assess human-like reasoning in artificial intelligence.
A new robotic system can learn directly from human interaction videos and generalize the information at the task being completed. This makes the robot well suited to learn household chores effectively and efficiently.
The ventral striatum plays a crucial role when it comes to choices about future pain versus future profit.
A new artificial neural network aced a wine tasting test and promises a less energy-hungry version of artificial intelligence, researchers report.
A new learning algorithm trains a robotic dog to walk within one hour, researchers report.
Using datasets of fetal ultrasounds, a new AI algorithm is able to detect cystic hygroma, a rare embryonic developmental disorder, within the first trimester of pregnancy.
A new machine-learning algorithm is able to accurately detect cognitive impairment by analyzing voice recordings.
A neuroimaging-based machine learning algorithm can detect Alzheimer's in the brain with 98% accuracy. The system is also 79% accurate at determining which stage of Alzheimer's disease a patient has.
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.
