Recent advances in computer vision and deep learning have revolutionised food image recognition, enabling automated analysis and classification of food items with unprecedented accuracy. These ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...

The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...

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 ones, ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...

image: University of Minnesota Twin Cities researchers have found a way to improve the performance of traditional Magnetic Resonance Imaging (MRI) reconstruction techniques, allowing for faster MRIs ...