Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.

An 18-year-old student passionate about astronomy has made history by discovering 1.5 million previously unknown celestial objects. His algorithm using artificial intelligence could revolutionize ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Abstract: Detection of faint space objects with limited a priori state knowledge can enable advanced capabilities across multiple domains, including space situational awareness, planetary defense, and ...

High School Student Discovers 1.5 Million Potential New Astronomical Objects by Developing an A.I. Algorithm The 18-year-old won $250,000 for training a machine learning model to analyze ...