For example, one of these machine-learning programs examined photographs of people to determine whether their outfits violated an office dress code, and another judged whether a cafeteria meal ...

The secretary problem was tossed back and forth between mathematicians in the U.S. during the 1950s, and we don’t know who was first to solve it (though people suspect it was the American ...

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...

Learn what an algorithm is with this KS1 primary computing guide from BBC Bitesize for years 1 and 2. We will define what an algorithm is and how they work.

This article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm. This quote couldn’t apply better to general search ...

Similarly, the way in which computer scientists are taught to frame problems often isn’t compatible with the best way to think about social problems. For example, in a new paper, Andrew Selbst ...

The biggest-ever study of real people’s mortgage data shows that predictive tools used to approve or reject loans are less accurate for minorities. We already knew that biased data and biased ...

Researchers from the University of Hertfordshire have developed a new algorithm that will allow robots to function more intuitively—that is, make decisions using their environment for guidance.

Supervised machine learning algorithms used in classification of categorical data and of new data are frequently used in today's problems. In this study, dataset with 357 malign and 212 benign created ...

In an article on Domingos’ Master Algorithm, Slate’s David Auerbach notes that “even within computer science, machine learning is notably opaque.” But it’s also increasingly central to ...