How can machine learning help astronomers find Earth-like exoplanets? This is what a recently accepted study to Astronomy & Astrophysics hopes to address as a team of international researchers investigated how a novel neural network-based algorithm could be used to detect Earth-like exoplanets using data from the radial velocity (RV) detection method. This study holds … Continue reading "A New Deep Learning Algorithm Can Find Earth 2.0"

…using data from the radial velocity (RV) detection method. This study holds the potential to help astronomers develop more efficient methods in detecting Earth-like exoplanets, which are traditionally difficult to identify within RV data due to intense stellar activity from the host star.

  • Lvxferre@mander.xyz
    0·
    1 month ago

    This is what machine learning is useful for. Not to try to convince you that oranges are active and potatoes are passive, or to give you a thumbs up with 7~8 fingers. But to detect patterns and allow automation of repetitive tasks.

  • Allonzee@lemmy.world
    0·
    1 month ago

    Star Trek is a beautiful concept I myself once dreamed humanity could live up to in my youth.

    That said, Earth is by far the most hospitable habitat humanity will ever know.

    We can send a dozen perfect specimen humans to Mars/Titan to make an inspirational point, humanity needs that, but sending dozens+ humans to form multigenerational colonies on worlds where a single significant human fuck up means oops, everybody dead? That is a fever dream.

    We’re royally fucking up this easy tutorial where all we need to do is stop being greedy fucks and using our technology to shit where we sleep.

    Yeah, we’re going to do swell out there on extreme hard-core survival all skulls on mode. /s

    Sorry kids, we’re going to either make peace with or destroy the habitability of this world for our species looooong before the idea of spreading elsewhere becomes practical.