Mistral AI has introduced Mistral OCR 4, a new optical character recognition (OCR) model designed for enterprise document ...

Abstract: Spectral-spatial feature extraction widely serves as the foundation for hyperspectral image classification (HSIC). However, its effectiveness decreases when applied to land covers with ...

Have you ever wondered how robots like Sophia or your home assistant can sound so much like humans and understand what we say? Natural Language Processing (NLP) technology enables machines to ...

Abstract: Cellular organelles undergo constant morphological changes and dynamic interactions that are fundamental to cell homeostasis, stress responses and disease progression. Despite their ...

For many years, businesses have used Optical Character Recognition (OCR) to convert physical documents into digital formats, transforming the process of data entry. However, as businesses face more ...

We propose a universal model for general image processing that covers image restoration, image enhancement, image feature extraction tasks, etc. PromptGIP can undertake diverse cross-domain tasks ...

Abstract: As an unsupervised dimensionality reduction method, the principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral image ...

The development of in vivo imaging and optogenetic tools makes it possible to control neural circuit activities in an all-optical, closed-loop manner, but such applications are limited by the lack of ...

Developing ground robots for agriculture is a demanding task. Robots should be capable of performing tasks like spraying, harvesting, or monitoring. However, the absence of structure in the ...