Galaxy clusters are some of the most massive structures in the cosmos, but despite being millions of lightyears across, they can still be hard to spot. Researchers at Lancaster University have turned to artificial intelligence for assistance, developing “Deep-CEE” (Deep Learning for Galaxy Cluster Extraction and Evaluation), a novel deep learning technique to speed up the process of finding them. Matthew Chan, a Ph.D. student at Lancaster University, is presenting this work at the Royal Astronomical Society’s National Astronomy meeting on 4 July at 3:45pm in the Machine Learning in Astrophysics session.
Click here for original story, Deep-CEE: The AI deep learning tool helping astronomers explore deep space
Source: Phys.org