There are some tasks that humans are still better at than machines. In this case, we're referring to spotting a dwarfgalaxy.
As machine learning approaches get more and more sophisticated, they are increasingly used in astronomy for difficult tasks like spotting dim and distant galaxy clusters. It can be tremendously helpful to have computers search through astronomical data to look for particular objects as they can process a huge amount of data — however, there are some judgments that still require the human touch.
“Even the best algorithms have their limitations when it comes to distinguishing very faint galaxies from individual stars and background noise,” Hubble scientists write. “In such challenging situations, identification must be done the old-fashioned way – by a dedicated human trawling through the data themselves.”
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