Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another.

Submodular function optimisation has emerged as a cornerstone of contemporary algorithm design, offering a powerful framework to address a broad range of combinatorial problems characterised by ...

This paper describes an algorithm for maximising a conditional likelihood function when the corresponding unconditional likelihood function is more easily maximised. The algorithm is similar to the EM ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

We present an implementable algorithm for solving constrained optmization problems defined by functions that are not everywhere differentiable. The method is based on combining, modifying and ...

Learn all about algorithms with this KS2 primary computing guide from BBC Bitesize for years 3 and 4.

For an algorithm to be considered efficient, you must be able to increase the precision of a solution without paying a correspondingly high price in the amount of time it takes to find that solution.