Briley Lewis (she/her) is a freelance science writer and Ph.D. Candidate/NSF Fellow at the University of California, Los Angeles studying Astronomy & Astrophysics. Follow her on Twitter @briles_34 or visit her website www.briley-lewis.com.
Jam packed issues filled with the latest cutting-edge research, technology and theories delivered in an entertaining and visually stunning way, aiming to educate and inspire readers of all agesArtificial intelligence is all the rage these days. When we think of AI, we're usually thinking of uncanny"deepfake" images and Chat GPT's written responses — but astronomers are actually using it to make significant discoveries, too.
With a big survey comes a big amount of data, and astronomers have been brainstorming how to get the most information out of that mountain of information. The CCA team's approach used AI to analyze small-scale details in the distribution of galaxies in the universe—something that had never been done before, as past work only focused on larger-scale trends.
To make an AI model worth using, you first need to train it on what to look for — somewhat like training a budding astronomy student to develop a good intuition for physics, where they're able to recognize patterns in their problem sets.
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