AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

Abstract: The rise of mpox as a global health concern highlights the necessity of effective early detection strategies to manage its propagation. Though less fatal than COVID-19, mpox poses some ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

A NEWLY published retrospective study has shown that AI, particularly deep-learning algorithms, can significantly reduce the rate of misdiagnosis in paediatric elbow fractures. The study analysed 755 ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...

Abstract: The multi-objective traveling salesman problem (MOTSP) is a representative class of multi-objective combinatorial optimization problems, with significant implications for both theoretical ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...