Machine Learning Slashes Tech Design Process by a Whole Year

Imagine life moving at 40,000 times the current speed. A flight from New York to Los Angeles would take a mere half a second, and a tomato would be ripe three minutes after its seed was planted. A research team at the Sandia National Laboratories (Sandia) in the U.S. has found a way to improve machine learning so that the design process of materials for new technologies could be 40,000 times faster. Their research was published in Computational Materials on Monday. The team at Sandia managed to use machine learning to complete materials science calculations at 40,000 times the regular speed.