Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

Atomic force microscopy faces enduring challenges in imaging speed, accuracy, and automated analysis as microstructure characterization becomes increasingly ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...

A skull-stripping artificial intelligence model leveraging personalized prior knowledge from brain atlases generates consistent brain extraction across diverse age groups, scanners and protocols. Deep ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...

This Research Topic investigates privacy-preserving imaging methods and end-to-end system designs that remain robust under ...