Researchers have developed a new machine learning and neural network model with a detailed feature matrix to improve earthquake prediction accuracy in Los Angeles, achieving a 97.97% success rate.
Researchers at the University of Granada have developed an innovative system demonstrating a very accurate machine-learning algorithm developed to predict volcanic eruptions. The study with important implications for global volcanic hazard forecasting and disaster preparedness.
MIT researchers have recently reported the detection of 2-methoxyethanol, a previously unknown molecule, in space. The study utilized machine learning and ALMA observations to find this complex molecule in the star-forming region NGC 6334I. The discovery enhances the understanding of molecular complexity during star formation, providing new insights into the chemical processes that occur in space.
