The author presents a rapidly convergent algorithm to solve the general portfolio problem of maximizing concave utility functions subject to linear constraints. The algorithm is based on an iterative ...

In this article, I want to provide a simple guide that explains reinforcement learning and give you some practical examples of how it is used today.

One fact about machine learning and data algorithms that may surprise business users is that there aren’t that many of them.

Simple Numerical Optimization Using an Evolutionary Algorithm with C# Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms ...

Researchers at the University of California San Diego have developed a simple yet powerful method to characterize lithium metal battery performance with the help of a widely used imaging tool ...