Research and investment in artificial intelligence (AI) have rapidly expanded over the past decade. The International Data Corporation predicts that global spending on cognitive and AI systems will ...

Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

Global optimisation methods and algorithms are pivotal in addressing complex problems where the objective function is often non‐convex, multi‐modal, or even presented as a black‐box with expensive ...

- When the problem is large-scale and high-dimensional (involving a vast number of variables), the computational complexity increases explosively, making the calculations infeasible. - Data may be ...

Professor Ruszczynski’s interests are in the theory, numerical methods and applications of stochastic optimization. He is author of "Nonlinear Optimization", "Lectures on Stochastic programming", and ...

AI technologies have proved to be powerful weapons in the fight against Covid-19, enabling governments and companies to improve their decision-making, resilience and response to the pandemic. The ...

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.

How can we guess the size of an extinct animal when all that remains are a few scattered bones? A study conducted by researchers at ULiège now provides an answer to this question. Using mathematical ...