McGill University researchers used deep-learning computer vision to analyze 719 solar projects across the Western U.S. The study establishes a new “land-sparing” benchmark, providing developers with ...

Abstract: The present paper aims to follow the development of a belt conveyor equipped with a computer vision module. The process of constructing the system with the help of CAD software, as well as ...

Perplexity has introduced “Computer,” a new tool that allows users to assign tasks and see them carried out by a system that coordinates multiple agents running various models.

As solar energy is rapidly becoming the world's largest renewable power source, new research from McGill University offers a ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Abstract: This paper investigates the optimization and deployment of YOLOv7 deep learning model on NVIDIA Jetson Nano, an AI-focused edge computing platform for object detection in various computer ...