A team from the University of Bern and the National Center of Competence in Research (NCCR) PlanetS has developed a machine-learning model that predicts potential planetary systems with Earth-like ...

Mitigate the influence of planetary forces by engaging in activities that nurture their energies. For instance, offer respect to elders for Sun's confidence, indulge in emotional care for Moon, stay ...

Fifty potential planets have had their existence confirmed by a new machine learning algorithm developed by University of Warwick scientists. For the first time, astronomers have used a process based ...

NASA enlists some machine learning help to boost the search for other worlds NASA enlists some machine learning help to boost the search for other worlds NASA has discovered an eighth planet around a ...

"The algorithm achieves precision values of up to 0.99, which means that 99% of the systems identified by the machine-learning model have at least one Earth-like planet." A machine-learning algorithm ...