Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings.

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

Scientists have grown a tiny brain-like organoid out of human stem cells, hooked it up to a computer, and demonstrated its potential as a kind of organic machine learning chip, showing it can ...

Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses—the connection points through which nerve cells in the ...

Experts at the University of Tokyo are combining machine learning with brain imaging tools to redefine the standard for diagnosing mental illnesses.

Scientists have designed a transistor that stores and processes information like the human brain and can perform cognitive tasks that most artificial intelligence (AI) systems today struggle with.

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." ...

Patients with non-small cell lung cancer (NSCLC) with a high risk of brain metastases might feasibly be identified through machine-learning models, according to a recent study.