A dental machining system for manufacturing a dental restoration or appliance, comprising: a dental tool machine which comprises: a dental blank holder for movably holding at least one dental blank relative to one or more dental tools; one or more driving units each for movably holding one or more dental tools, a control unit for controlling the dental blank holder and the driving units based on construction data of the dental restoration or appliance and a plurality of machining processes specific for the manufacturing of the dental restoration or appliance from the dental blank; characterized in that the control unit is further adapted to execute a trained artificial intelligence algorithm adapted to predict the machining time for manufacturing the dental restoration or appliance based on input data comprising: process parameters defining the machining processes respectively; and mappings which include information on the target geometry of the dental restoration or appliance, which are constructed based on said machining processes, wherein the mappings comprise: first type of mappings that describe the target geometry of the dental restoration or appliance relative to the machining directions (z) in the respective machining processes, wherein the machining directions (z) are parallel to the one or more dental tools, wherein the first type of mappings further describe the distance from the surface of the target geometry of the dental restoration or appliance to a reference plane of the one or more driving units or the distance from the surface of the dental blank to the surface of the target geometry of the dental restoration or appliance. a dental blank holder for movably holding at least one dental blank relative to one or more dental tools; one or more driving units each for movably holding one or more dental tools, a control unit for controlling the dental blank holder and the driving units based on construction data of the dental restoration or appliance and a plurality of machining processes specific for the manufacturing of the dental restoration or appliance from the dental blank; characterized in that the control unit is further adapted to execute a trained artificial intelligence algorithm adapted to predict the machining time for manufacturing the dental restoration or appliance based on input data comprising: process parameters defining the machining processes respectively; and mappings which include information on the target geometry of the dental restoration or appliance, which are constructed based on said machining processes, wherein the mappings comprise: first type of mappings that describe the target geometry of the dental restoration or appliance relative to the machining directions (z) in the respective machining processes, wherein the machining directions (z) are parallel to the one or more dental tools, wherein the first type of mappings further describe the distance from the surface of the target geometry of the dental restoration or appliance to a reference plane of the one or more driving units or the distance from the surface of the dental blank to the surface of the target geometry of the dental restoration or appliance. process parameters defining the machining processes respectively; and mappings which include information on the target geometry of the dental restoration or appliance, which are constructed based on said machining processes, wherein the mappings comprise: first type of mappings that describe the target geometry of the dental restoration or appliance relative to the machining directions (z) in the respective machining processes, wherein the machining directions (z) are parallel to the one or more dental tools, wherein the first type of mappings further describe the distance from the surface of the target geometry of the dental restoration or appliance to a reference plane of the one or more driving units or the distance from the surface of the dental blank to the surface of the target geometry of the dental restoration or appliance.