Researchers test machine learning algorithms to determine the metal workload and affective states of the human brain.
Deep layers of artificial neural networks can be edited to generate surprising and abstract images.
Novel artificial intelligence software can provide a precise assessment of the progression of geographic atrophy. The technology can also determine the integrity of photoreceptors and detect progressive degenerative changes beyond the main lessons asso…
Using data from MRI brain scan images, machine learning was 85% accurate at providing a diagnosis of psychiatric disorders that matched psychiatrists’ assessments. The algorithm could also distinguish between patients with ASD, schizophrenia, risk fact…
Precision-medicine enhanced with the help of artificial intelligence assisted in the identification of a new autism subtype that was characterized by abnormal lipid levels. AI-enhanced precision medicine could become a biomedical screening tool for ASD.
Focusing on genes associated with psychiatric and neurological disorders, and drugs approved for use in other diseases, a new AI system can increase the effectiveness of drug repurposing.
New artificial intelligence technology can accurately predict how any chemical is going to smell to humans.
Using artificial intelligence and neuroimaging, researchers have identified a link between mental imagery and vision. The brain uses similar visual areas for mental imagery and vision but uses low-level visual areas less precisely for mental imagery th…
The human brain avoids taking unnecessary effort while reading by regulating the resources used in order to identify the most essential information.
AI network simulations become unstable following continuous periods of unsupervised learning. When the networks were exposed to states that are analogous to human brain waves during sleep, the stability was restored.