Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

A new study reveals a noninvasive BCI framework that aligns human neuroplasticity with AI to match invasive accuracies.

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

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." UC's Jed Hartings, Ph.D., ...

In all, 180 students have received research fellowships this summer, many of whom are undertaking their work on campus, ...

The Google corporation has grown up, maturing into a multibillion dollar company by the early age of 16. As the premier search engine, Google is easier to use and more popular than all others. But, ...