Advances in machine and deep learning, including artificial intelligence (AI), are quickly changing how the world uses machine learning to solve important scientific problems and national security challenges. Despite these advances, significant effort is still required to refine and explain how machine learning algorithms make decisions and how scientists can derive new insight using these methods.
The Mathematics for Artificial Reasoning in Science (MARS) initiative seeks to complement machine learning and deep learning to advance science. MARS studies scientifically interpretable mathematical models capable of reasoning through numerous complex challenges, as defined by partial information and partial model understanding.
Specifically, MARS aims to address three high-level challenges that lie at the intersection of AI and scientific research: