Mining the right transition metals in a vast chemical space
Computational chemists design better ways of discovering and designing materials for energy applications.
Computational chemists design better ways of discovering and designing materials for energy applications.
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
A new tool brings the benefits of AI programming to a much broader class of problems.