Many teachers work to guide students to take academic risks that will help them learn. Can schools apply that idea to teacher learning as well? The answer may be found in the collaboration achieved in ...

Abstract: Central to the looming paradigm shift toward data-intensive science, machine-learning techniques are becoming increasingly important. In particular, deep learning has proven to be both a ...

Abstract: Existing approaches to solving combinatorial optimization problems on graphs suffer from the need to engineer each problem algorithmically, with practical problems recurring in many ...