In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

A team of researchers led by Yumin Dong of Chongqing Normal University has developed a novel method to optimize parametric quantum circuits, a critical component of variational quantum algorithms. The ...

Dilution-based dual-gradient drilling (DGD) reduces casing strings and drilling costs while increasing hole size at total depth by injecting mud down an artificially-created annulus with a different ...