Astronomers create AI to better communicate their stellar research
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- 20 Apr 2023
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An international team of scientists, led by a researcher at The University of Manchester, have developed a novel AI (artificial intelligence) approach to distil technical astronomy terminology into simple understandable English in their recent publication.
The new research is a result of the international RGZ EMU (Radio Galaxy Zoo EMU) collaboration and is transitioning radio astronomy language from specific terms, such as FRI (Fanaroff-Riley Type 1), to plain English terms such as “hourglass” or “traces host galaxy”.
In astronomy, technical terminology is used to describe specific ideas in efficient ways that are easily understandable amongst professional astronomers. However, this same terminology can also become a barrier to including non-experts in the conversation. The RGZ EMU collaboration is building a project on the Zooniverse citizen science platform, which asks the public for help in describing and categorising galaxies imaged through a radio telescope.
Modern astronomy projects collect so much data that it is often impossible for scientists to look at it all by themselves, and a computer analysis can still miss interesting things easily spotted by the human eye.
Micah Bowles, Lead author and RGZ EMU data scientist, said: “Using AI to make scientific language more accessible is helping us share science with everyone. With the plain English terms we derived, the public can engage with modern astronomy research like never before and experience all the amazing science being done around the world.” Read More…
