As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Algorithms, particularly in the form of artificial intelligence and machine learning, are proliferating in finance and changing how we make decisions. Algorithms have been around for a while in the ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

Tyler Lacoma has spent more than 10 years testing tech and studying the latest web tool to help keep readers current. He's here for you when you need a how-to guide, explainer, review, or list of the ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

The goal of a numerical optimization problem is to find a vector of values that minimizes some cost function. The most fundamental example is minimizing the Sphere Function f(x0, x1, .. xn) = x0^2 + ...