Just a day after NASA scientists said that they have found 301 new exoplanets, astronomers at the University of California, Los Angeles (UCLA) have stated that they identified 366 new exoplanets using data from the Kepler space telescope. The latest discovery was made possible by an algorithm developed by a UCLA postdoctoral scholar. The term
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Machine learning (ML) methods are not only supplementing the already available technology but are also taking scientific research further ahead. Now, a new deep learning method has added a whopping 301 exoplanets to the total tally. These planets were added to the already validated 4,569 planets which are orbiting several distant stars. The additions were
NASA is preparing a mission to deliberately smash a spacecraft into an asteroid — a test run should humanity ever need to stop a giant space rock from wiping out life on Earth. It may sound like science fiction, but the DART (Double Asteroid Redirection Test) is a real proof-of-concept experiment, blasting off at 10:21pm