Explore cutting-edge developments in computational fluid dynamics through this seminar presented by Esteban Ferrer and David Huergo from Universidad Politécnica de Madrid. Delve into the latest advancements of the High-Order Spectral Element Solver (HORSES3D), an open-source high-order discontinuous Galerkin framework. Discover its capabilities in solving various flow applications, including compressible and incompressible flows, RANS and LES turbulence models, particle dynamics, multiphase flows, and aeroacoustics. Learn about recent developments enabling simulation of challenging multiphysics scenarios, such as turbulent flows, multiphase interactions, and moving bodies, using local h and p-adaption. Gain insights into the integration of machine learning and reinforcement learning techniques with high-order simulations, opening new avenues in computational fluid dynamics research and applications.