Researchers report they can use brain activation patterns to identify complex thoughts. Their findings suggest the building blocks for complex human thoughts are not word based, but formed by the brain's sub systems. The study provides evidence that the neural dimensions of concept representation are universal across people and languages.
A new study reveals a functional brain pattern linked to cognition, and with the help of a BMI, used it to activate an iPad's touch screen.
Summary: Researchers develop an AI grasping system with robotic hands that can learn to grasp and move unfamiliar objects like...
Researchers are exploring how machines and humans can work together to compose new songs.
A machine learning algorithm shows that during sleep, the brain actively reprocesses information learned the previous day, strengthening the memory.
Researchers have developed an artificial synapse they say is capable of autonomous learning.
Using neuroimaging technology, researchers are able to predict a person's brain age. This could also help to spot who is at risk of poor health and early death.
When AI's are trained with ordinary human language online, they pick up cultural biases embedded in the wording, researchers report.
Researchers are utilizing neuroimaging data to identify brain patterns and predict depression with the help of machine learning.
Neuroimaging can detect whether a person is acting in a state of knowledge when committing a crime, or whether they are acting recklessly with no premeditation, researchers report.
Machine learning may allow clinicians better ability to predict which of their patients will attempt suicide, a new study reports.
Examining postmortem brains, researchers discover the state of glia remains consistent as we age and could be used to predict a person's age at death.