An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Why you need to practice doing programming problems: Problem recognition, and where the right data structures and algorithms fit in; Gathering requirements for the problem; Talking your way through ...

Even with the best of intentions, problems might arise with artificial intelligence tools. Here’s how to keep things balanced ...

AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to ...

"Become a coding god!" is not an achievable milestone. "Solve 5 array problems this week" is. Break down your big goals into ...

Over the past decade, health insurance companies have increasingly embraced the use of artificial intelligence algorithms.

As financial technology continuously evolves in today’s AI era, a growing number of initiatives are dedicated to cultivating ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect ...

This project is aimed at implementing nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.