Near Earth Object

Near-Earth objects (NEOs), including asteroids and comets, pose a potential threat and are a focus of ongoing astronomical research. Current efforts concentrate on improving detection methods, particularly for faint and fast-moving objects, utilizing deep learning algorithms and convolutional neural networks to analyze large datasets from surveys like the Zwicky Transient Facility. Furthermore, research is improving the classification of outer solar system objects like Trans-Neptunian Objects (TNOs) through machine learning, enhancing our understanding of solar system formation. These advancements are crucial for refining impact risk assessments and furthering our knowledge of the solar system's history and composition.