Apple is introducing a new version of its system-level RAW image processing engine that uses machine learning to greatly ...

Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...

Abstract: With the rapid advancement of deep learning technologies, the use of computers for processing and analyzing multimodal remote sensing data has attracted significant attention. Joint land ...

Advsr AI Spotlight Highlighting notable AI moves at the intersection of strategic operating companies and emerging startups.

Tesla FSD Hardware 3 owners received FSD v14 Lite on June 29, ending a 16-month freeze for roughly 4 million vehicles. The ...

Abstract: Recognizing land use and land cover (LULC) elements in satellite imagery is an important foundational point for environmental tracking applications, as well as urban development and ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Classiq and Pontificia Universidad Católica de Chile (UC Chile) have announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis – assisted by classical ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...

Researchers are calling for the application of locally driven strategies, supported by stronger regional evidence, to improve early cancer detection and precise care.

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

While humans are observing their surroundings, their eyes tend to rapidly shift between different objects, people and details ...