Diagrams of the physics-based traditional method, physics-informed deep learning approach, and data-driven deep learning approach for fringe pattern analysis. Credit: Opto-Electronic Advances (2023).

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

By Flavio Cognigni, Product and Application Sales Specialist XRM & Multimodal Microscopy and Heiko Stegmann, FIB-SEM application expert and advisor, Carl Zeiss Microscopy Evolution of imaging ...

Researchers at the University of Arizona have developed an AI-powered optical imaging method that identifies pancreatic cancer phenotypes faster and more affordably than traditional genetic or ...

Deep learning application: By applying sophisticated deep learning algorithms, the study achieved more precise estimations of body composition compared to traditional methods.

They compared MONET's performance to supervised learning strategies involving training ResNet-50 models with ground-truth conceptual labels and OpenAI's Contrastive language-image pretraining ...

Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ...