Hawaii Astronomers unveils the AI-powered map


Artificial Intelligence never fails to astonish us with its mind-blowing applications. It is ahead of human intelligence and comes with zero human errors, zero risks, and round-the-clock availability. AI is extending its potential in all fields. Recently University of Hawaii’s Mānoa Institute for Astronomy (IfA) has broken the record of creating the world’s largest 3D map of the Universe by Artificial Intelligence.

The University of Hawaii’s Mānoa Institute for Astronomy has deployed Artificial Intelligence in its research and generated the 3D catalog of stars, quasars, and galaxies. Mānoa Institute for Astronomy has broken the record of the Slogan Digital Sky Survey (SDSS) by creating the world’s largest map of the Universe. They have created a map that is double the size of the former and provides appropriate statistics. A team of Mānoa’s researchers have worked together in developing the AI algorithm and trained the same to identify the objects. The AI identifies objects from the survey and feeds it to Spectroscopic measurements which in turn classify objects and distances.

Optical data is obtained from their Panoramic survey telescope and a rapid response system. This system spans around three-quarters of the sky and serves as the world’s largest deep multi-color optical survey. Scientists have used a “State-of-the-art” optimization algorithm they have scaled up the spectroscopic training set to teach the neural network to identify source types and galaxy distances. It also helps in correcting light extinction by dust in the Milky way galaxy. The AI neural network provides stupendous results in classifying celestial bodies respectively. It is able to generate very accurate results in categorizing and rates accounts to 98.1% for galaxies, 97.8% for stars, and 96.6% for quasars.

The 3D map of the Universe clearly showcases the potential of Pan-STARRS big data set and Artificial Intelligence. The Pan-STARRS is capable of collecting more data that can be used in machine learning to extract more quality information. It helps in collecting more info about near-earth objects, our Solar system, Our Galaxy and, Our Universe. One can experience this new 3D map via the Mikulski Archive for Space Telescopes. The overall size of the map is about 300 GB and it can be downloaded into the system as well.


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