AI systems learn from many types of scientific information and run experiments to discover new materials | MIT News
Machine learning models can speed up discovery of new materials by making predictions and proposing experiments. However, most models today only consider some specific types of data or variables. Compare it with human scientists who work in a collaborative environment and consider experimental results, broader scientific literature, imaging and structural analysis, personal experiences or intuition,…
