United Kingdom (U.K.) researchers used a highly-advanced machine learning algorithm to identify 50 new planets based on NASA's old data. The recent discovery of British scientists marked a technological breakthrough in astronomy.
Some of the planets' orbits are as short as a single day, and others are as long as 200. The scientists will prioritize the identified new worlds after they confirmed that they're real.
The Monthly Notices of the Royal Astronomical Society published the study's findings last week.
"In terms of planet validation, no-one has used a machine learning technique before," said David Armstrong, a University of Warwick's scientists and one of the study's lead authors.
"Machine learning has been used for ranking planetary candidates but never in a probabilistic framework, which is what you need to truly validate a planet," he added.
For more news updates about space studies, always keep your tabs open here at TechTimes.
This article is owned by TechTimes,
Written by: Giuliano de Leon.