Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments ...

Researchers have devised a new framework for designing machine learning algorithms that helps prevent intelligent machines from being biased.

The capacity scaling algorithm solves it in O (m (m + n log n) log (nU)) time, which is almost the same time needed to solve the minimum cost flow problem by the capacity scaling algorithm. These ...

Our algorithms are based on the successive shortest-path algorithm for the minimum cost flow problem. We exploit the special structure of the problem and use advanced data structures, when required, ...

The hype around ChatGPT and other generative-artificial-intelligence technology is highlighting a continuing challenge for businesses: how to keep bias out of their own AI algorithms.

RAND researchers argue that it's important to raise awareness about the role that algorithms play in K-12 and other fields such as criminal justice and banking.

Microsoft is developing a tool that can detect bias in artificial intelligence algorithms with the goal of helping businesses use AI without running the risk of discriminating against certain people.

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, ...