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 ...

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

By Dr. Liji Thomas, MD A new randomized trial shows that short bursts of supervised high-intensity exercise may retrain the ...

A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...

The government has set out its position for drivers in England, Scotland and Wales as Northern Ireland moves ahead with graduated driving licences ...

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

Despite what boomers may say, the old ways aren't always better. But in the case of these 11 parenting tools and techniques, ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Munich news, health insurance, technology, jobs and other topics for expatriates. The Eye Newspapers covers daily news and ...

From walking miles to school after missing the bus to navigating friend drama without parental intervention, the stark ...

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...