Increasing the efficiency of machining, especially turning, by applying A.I. and expert systems technology into adaptive turning control. The objective is an intelligent machining system capable of emulating the behaviour of a human machinist. Instead of maintaining constant cutting conditions or logging raw physical data (e.g. cutting force magnitude), such a machining system is able to optimize cutting parameters on the fly, giving human-understandable information of the cutting process or training a less experienced human machinist. This will potentially make manufacturing less dependent on (cheap) human labour and instead make manufacturing preferable in countries with cheap energy closer to markets (e.g. Finland).