Abstract: A portal axle as well as a method for manufacturing a portal axle for a rail vehicle, which has an axle centre part extending along a longitudinal axis and two kingpins one of which sits on a first end section of the axle centre part and a second on a second end section of the axle centre part formed opposite to the first end section. The kingpins are oriented away from the axle centre part and form an axis of rotation in use for a rail wheel rotatably mounted on the respective kingpin. The portal axle has optimised usage properties with minimised weight. This is achieved by a longitudinal opening extending in the longitudinal direction of the portal axle being formed in at least one of the mould components. The invention further provides a method for manufacturing an axle of this type.

Abstract: A method and an apparatus are provided. The method may include: determining a service scenario based on a query sentence; entering the service scenario, and entering a first dialog node tree corresponding to the service scenario; storing, in response to determining that a common scenario needs to be entered based on a verification of a related parameter by the each parameter verification dialog node, the each parameter verification dialog node and jumping to the common scenario, and entering a second dialog node tree; collecting user information using the second dialog node tree, and in response to determining that the user information is collected successfully, determining whether a processing result of the second dialog node tree meets a backtracking condition; and returning to the service scenario based on the stored parameter verification dialog node and continuing to execute other dialog logic processing of the service scenario.

Abstract: A method, an apparatus, a device and a storage medium for intelligent response are provided. The method may include: acquiring a current to-be-responded sentence, and determining a current to-be-collected entity corresponding to an intention of the current to-be-responded sentence; acquiring, if a pre-set entity clarification condition is met according to the current to-be-responded sentence, an entity clarification sentence corresponding to the current to-be-collected entity, where the entity clarification sentence is used to clarify an entity value of the current to-be-collected entity; and outputting the entity clarification sentence as a reply sentence of the current to-be-responded sentence.

Abstract: The Developmental Network incorporates a Turing Machine that injects teaching instructions directly into the skull-closed network. The Developmental Network can also autonomously learn directly from the natural world without the need for a human to encode its input and output. The neural network so configured can be used as a controller for robotic and other computer control applications where the neural network is organized into plural X-Y-Z areas receiving signals from sensors and providing signals to effectors.

Abstract: The Developmental Network incorporates a Turing Machine that injects teaching instructions directly into the skull-closed network. The Developmental Network can also autonomously learn directly from the natural world without the need for a human to encode its input and output. The neural network so configured can be used as a controller for robotic and other computer control applications where the neural network is organized into plural X-Y-Z areas receiving signals from sensors and providing signals to effectors.