The study provides a roadmap for modernizing emergency response infrastructure. In large-scale disasters, time is the most ...

Artificial Intelligence (AI) technologies are no longer a futuristic concept — they are practical tools that organizations of ...

New automated system speeds up breeding pest-resistant crops. It uses a robotic microscope & computer vision to count spider ...

Multi-modal AI agents that watch, listen, and understand video. Vision Agents give you the building blocks to create intelligent, low-latency video experiences powered by your models, your ...

Abstract: Few-shot object detection (FSOD) is a developing research topic in computer vision. Its core idea is to leverage abundant samples from base categories to train a model, which can then be ...

Electric scooters have transformed the way we move around, offering a convenient and green alternative to cars for short trips. While the technology inside these micro-mobility devices has evolved ...

Machine vision technology is being used for a robotic weed management system that avoids the environmental effects of herbicides and fills the agricultural labour gap.<br /><br /> ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Alibaba’s Qwen team has launched Qwen3-VL, its most powerful vision-language model series to date. Released on September 23, the flagship is a massive 235-billion-parameter model made freely available ...

Georgia Tech’s fast start has caught the attention of the computer models. Bill Connelly’s ESPN SP+ projections listed the Yellow Jackets as slight favorites over longtime rival Clemson despite ...

Abstract: Object detection is a fundamental task in computer vision, involving the prediction of bounding boxes and class labels for Regions of Interest (ROI) within images. Traditionally, ...