Cattle identification is emerging as a pivotal aspect of precision livestock farming, with deep learning and computer vision offering robust, non-contact solutions to traditional tagging methods. By ...

The findings are published in Applied Materials Today ("Deep learning assisted Raman spectroscopy for rapid identification of 2D materials"). "Sometimes, we only have a few samples of the 2D material ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and classification of two-dimensional (2D) materials through Raman spectroscopy. In ...