Algorithmic complexity and information theory are foundational disciplines that intersect to elucidate how data is structured, transmitted and computed. At its core, algorithmic complexity seeks to ...

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

A major advance reveals deep connections between the classes of problems that computers can — and can’t — possibly do. At first glance, the big news coming out of this summer’s conference on the ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms, and how ...

Despite our growing reliance on algorithms, the Pew Research Center found that Americans are concerned with the fairness and effectiveness of computer programs that make important decisions in their ...

Opacity in AI is a formal, academic description of what is more commonly referred to as, "What the heck is the algorithm doing?" It's a problem that is at the root of many ethical issues with AI. It ...