Render Networks CEO Stephen Rose explains how AI in fiber construction eliminates rework and builds the foundation for true ...

Abstract: Large and diverse image datasets have facilitated the recent advances in deep-learning-based computer vision applications. Whereas datasets with images depicting normal-weather scenes are ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Abstract: Automatic segmentation of medical images is a crucial step for lesion measurement in computer-aided diagnosis. Convolutional neural networks (CNNs) and vision transformers (ViTs) are widely ...

The XZ-Utils backdoor, first discovered in March 2024, is still present in at least 35 Linux images on Docker Hub, potentially putting users, organizations, and their data at risk. Docker Hub is the ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

There are few industries these days that are not touched by artificial intelligence (AI). Networking is very much one that is touched. It is barely conceivable that any network of any reasonable size ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

1 School of Statistics, Renmin University of China, Beijing, China 2 School of Computer Science and Technology, Xinjiang University, Urumqi, China The goal of multi-focus image fusion is to merge near ...

Computer vision and image synthesis based on deep learning models, such as YOLO, U-Net, and Transformer, are advancing rapidly. These technologies are significantly impacting the field of neurology.