Could machine intelligence also help us discover extraterrestrial intelligence?
Scientists from the National Astronomy Meeting announced that humans worked together with machine intelligence to find 40,000 ring galaxies throughout the universe,Dr. Mike Walmsley of the University of Manchester and the Galaxy Zoo collaboration developed the so-called"cyborg" method to measure the shapes of millions of different galaxies.
However, categorizing all of this information based on the specific cosmic event that triggered each massive disruption requires millions of measurements. It totals to such an overwhelming amount of data that it could take human volunteers several lifetimes to sort through. That's where machine intelligence comes in.
Dr. Walmsley used a decade of Galaxy Zoo volunteer measurements to create a new AI algorithm, named"Zoobot," that could work as an assistant on the project. It is able to accurately predict what human volunteers would say about specific data points, as well as understand where it might be mistaken. Zoobot uses machine learning, meaning it is trained over and over again on data set until it can carry out the required function at incredible speeds. According to Dr. Walmsley,"with Zoobot, humans and machines are collaborating to push the science of astronomy forward. We're helping other astronomers solve questions we never thought to ask."Thanks to the Zoobot AI, Dr.
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