According to in Yu Wang in phys.org: “Astronomy has always been driven by data and astronomers are some of the first scientists to adopt and employ machine learning. Now, machine learning has been integrated into the entire astronomical research process, from the manufacturing and control of ground-based and space-based telescopes (e.g., optimizing the performance of adaptive optics systems, improving the initiation of specific actions (triggers) of satellites under certain conditions, etc.), to data analysis (e.g., noise reduction, data imputation, classification, simulation, etc.), and the establishment and validation of theoretical models (e.g., testing modified gravity, constraining the equation of state of neutron stars, etc.).”
For me the most interesting part was data analysis, or fine tuning AI models to go through the enormous data generated by telescopes. I believe this is where AI will have the largest impact in the near future. As telescopes increase in numbers and resolution, and the amount of data grows.
Astronomers have been using machine learning to process astronomical data. Now they are also trying to use GPTs.
Reference: https://phys.org/news/2024-05-ai-universe.html
by fool49
1 Comment
its interesting to consider what an AI would look at, given the opportunity.