Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

The recent study highlights how training data can skew a decision-making algorithm in unexpected ways—in addition to the known problem of biased training data. For example, in a separate study ...

The algorithm addresses something called the library sorting problem (more formally, the “list labeling” problem). The challenge is to devise a strategy for organizing books in some kind of sorted ...

Sample sizes between 500 and 1,500 images offered similar performance for geographic atrophy area prediction. Performance started to degrade at a sample size of about 400 images.

Algorithms are sets of rules for solving problems or accomplishing tasks. ... One common example of an algorithm is a recipe, which consists of specific instructions for preparing a dish or meal.