We are happy to announce our new SimTech preprint entitled "Rigorous and effective a-posteriori error bounds for nonlinear problems - Application to RB methods". In this article, we present a way to improve many existing error estimation techniques in the context of reduced basis methods. In particular we are able to reach highly accurate and rigorous error predictions for a large class of problems.