When we commit to this path, we’ll gain the power to make the models better and create the transparency and control that regulators and users require to track and explain how these models operate.

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 ...

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 ...

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