Scientists of Tata Institute of Fundamental Research (TIFR), Mumbai, India and Indian Institute of Space Science and Technology (IIST) have identified the nature of thousands of new cosmic objects in X-ray wavelengths using machine learning techniques. Machine learning is a variant or part of artificial intelligence. Astronomy is entering a new era, as a huge amount of astronomical data from millions of cosmic objects are becoming freely available. This is a result of large surveys and planned observations with high-quality astronomical observatories, and an open data access policy. Needless to say that these data have a great potential for many discoveries and new understanding of the universe.

'These cool worlds offer the opportunity for new insights into the formation and atmospheres of planets beyond the Solar System,' said paper author and astronomer Aaron Meisner of the National Science Foundation (NSF)'s NOIRLab. 'This collection of cool brown dwarfs also allows us to accurately estimate the number of free-floating worlds roaming interstellar space near the Sun.' Brown dwarves are the'cooling embers' of space -- to small to support the nuclear reactions that power stars, they are faint and challenging to spot, which is why astronomers have been hunting for them close by, in our galactic neighbourhood. Experts believe that brown dwarves cool as they age, starting at near-stellar temperatures but cooling until they are on a par with planets like Earth -- a hypothesis which the recent findings have provided evidence to support. The Backyard Worlds project recruited more than 100,000 citizen scientists to study trillions of pixels of telescope images looking for the subtle signs of planets and brown dwarves moving out in space. According to the astronomers, there is still no substitute for the human eye when it comes to scouring telescope images for subtle evidence of moving objects -- despite recent advances in machine learning and supercomputer hardware. The astronomical data studied was collected by the Nicholas U. Mayall 4-meter Telescope at the Kitt Peak National Observatory in Arizona and the Victor M. Blanco 4-meter Telescope at the Cerro Tololo Inter-American Observatory in Chile. Although the researchers have only published data on the coldest 95 of the finds, the volunteers have identified more than 1,500 brown dwarves in the astronomical data -- a record-breaker for any citizen science program by a factor of 20. 'It's awesome to know that our discoveries are now counted among the Sun's neighbour and will be targets of further research,' said paper co-author and citizen scientist Jim Walla added. The discoveries were part of'Backyard Worlds: Planet 9', a project which recruited more than 100,000 people to scour astronomical data for new'nearby' objects.