Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

As an innovative subtype of invasive brain-computer interfaces (BCIs), the Endovascular Brain-Computer Interface (EBCI) enables electrode delivery to target brain regions via endovascular intervention ...

Head and neck cancer (HNC) is one of the most common malignancies worldwide, with high morbidity and mortality rates.

BackgroundAlzheimer's disease (AD) is the most common neurodegenerative disorder, characterized by progressive cognitive decline and memory impairment ...

A memorandum of agreement that resolves a grievance between the Education Association and Public Schools over a middle school ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...

Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...

The rapper has been slipping into more conservative territory for quite some time now. In order to understand her final ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...