In a significant breakthrough, an artificial intelligence tool has autonomously detected, identified, and classified a supernova, marking a groundbreaking moment in the field of astronomy.

This development not only accelerates the process of analyzing and categorizing supernovas but also holds the potential to minimize human errors, potentially revolutionizing the way astronomers conduct their research.

The AI tool, aptly named BTSbot (Bright Transient Survey Bot), emerged from the collaborative efforts of an international team of researchers led by Northwestern University.

While the name may invoke images of the popular South Korean boy band BTS, it actually stands for Bright Transient Survey Bot, reflecting its mission in the field of astronomy.

For the past six years, human astronomers have invested over 2,200 hours visually inspecting and classifying supernova candidates.

The introduction of BTSbot promises to relieve astronomers from this time-consuming task, allowing them to redirect their efforts toward more profound scientific inquiries.

Currently, the discovery of supernovas involves a combination of human and software-based processes. BTSbot, however, has the capability to eliminate the human element from this equation, facilitating the discovery and analysis of supernovas without human intervention.

Its training dataset comprises over 1.4 million historical images derived from 16,000 astronomical sources.