Abstract: Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods ...

The Syrian Artificial Intelligence Olympiad (SOAI2026) concluded its 2nd edition, organized by Syrian Computer Society, with ...

Underwater computer vision plays a vital role in ocean research, enabling autonomous navigation, infrastructure inspections, and marine life monitoring. However, the underwater environment presents ...

Deep learning has revolutionised computer vision by enabling models to learn hierarchical feature representations directly from raw data. Convolutional neural networks (CNNs) form the backbone of many ...

Deep Learning for Computer Vision is a community-driven open-source initiative designed to create an accessible, structured, and comprehensive resource for students, researchers, and practitioners ...

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 ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

We are excited to inform you that a new version of Introduction to Computer Vision (CSCA 5222) reflecting the latest advancements in the field will be released in Fall session 2, 2025. We are also ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we want these technologies to serve society responsibly, tomorrow’s citizens need ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...