ZERO, Superb AI's proprietary Vision Foundation Model, takes first place overall in the CVPR 2026 Foundational Few-Shot ...

Artificial intelligence (AI) is able to detect foreign materials and other defects in food products faster and with more ...

On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines that are difficult to find with standard equipment. The technique focuses ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

Deep learning has revolutionised object detection by enabling end-to-end trainable systems that learn both feature representation and localisation. Early two-stage detectors extracted region proposals ...

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Abstract: Computer vision systems have become very popular among modern IoT applications, autonomous driving, and security systems. The new generation of wireless networks offers high speeds and ...