Researchers use machine learning algorithms to train a computer to recognize the neural patters associated with various odors.
According to a new study, a computer program was almost twice as accurate as neuroradiologists in determining whether abnormal brain tissue seen on an MRI scan was due to radiation or brain cancer.
Researchers report they have identified individual neurons in the brain that support observational learning.
Researchers report it is now possible for machines to learn how artificial and natural systems work by simply observing them.
Researchers have developed a new machine learning system that analyzes the entire human genome to predict which genes may cause ASD.
Researchers have coupled machine learning with neuroimaging to detect early forms of dementia.
A new algorithm is able to predict future terror attacks by recognizing patterns from past attacks.
Researchers use cognitive science theories to develop a new model that could allow computers to obtain the ability to reason more like humans and to make moral decisions.
A newly developed artificial synapse could have implications for use in AI computing.
A newly developed system could soon help to predict where poachers are likely to strike in wildlife parks.
A new study updates a theory originally developed to explain how humans learn and highlights its importance as a framework to guide AI.
Researchers are using methods used for training animals to help teach robots how to perform new tasks.
