Nature

Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials

The recent advances in deep-learning technologies based on neural networks have led to the emergence of high-performance algorithms for interpreting images, such as object detection 1,2,3,4,5, ...
Nature

Automatic detection of multilayer hexagonal boron nitride in optical images using deep learning-based computer vision

Computer vision algorithms can quickly analyze numerous images and identify useful information with high accuracy. Recently, computer vision has been used to identify 2D materials in microscope images ...
VentureBeat

Facebook highlights AI that converts 2D objects into 3D shapes

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More State-of-the-art machine learning algorithms can extract two-dimensional ...
Donga Science

DGIST–MIT team wins global ICRA 2026 ‘robot vision’ challenge for complex outdoor environments

New AI visual perception framework combining DINOv3 and Mask2Former tops 56 teams in GOOSE 2D semantic segmentation at the ICRA 2026 field robotics workshop ...