From decoding 5,000-year-old texts to spotting vanished cities from space, AI is transforming how we study the ancient world. Archaeologists are using deep learning, computer vision, and open-source ...

On April 29, at the third China Embodied Intelligent Robot Industry Conference and Exhibition, Reconova delivered a keynote ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Pirelli acquires 30% of Sweden's Univrses to boost its AI-powered Cyber Tyre system, enhancing road safety, real-time data, ...

SiMa.ai, a leader in Physical AI, today announced it has been named the winner of the "Best Edge AI Board" by the Edge AI + Vision Alliance's 2026 Product of the Year Awards -- recognizing ...

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...

Industrial automation is moving beyond rigid rule-based control systems toward environments where machines can interpret complex signals and react dynamically. One of the technologies driving this ...

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone ...

Abstract: Super resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

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 ...