Abstract: A method for text translation includes obtaining a text to be translated; and inputting the text to be translated into a text translation model. The trained text translation model divides the text to be translated into a plurality of semantic units, determines N semantic units before a current semantic unit among the plurality of semantic units as local context semantic units, determines M semantic units before the local context semantic units as global context semantic units, and generates a translation result of the current semantic unit based on the local context semantic units and the global context semantic units. N is an integer, and M is an integer.

Abstract: Implementations of the present specification provide a resource allocation method and apparatus, and an electronic device. The method includes: obtaining resource data of a user; calculating a risk preference coefficient of the user based on the resource data of the user; calculating a maximum utility value of a utility function by using the risk preference coefficient; and determining a resource allocation ratio of the user based on the obtained maximum utility value, so as to configure a resource combination solution that meets actual needs of the user.

Abstract: Systems and methods for screening enzyme variants are described, wherein the enzyme variants may catalyze a reaction that is cofactor-dependent or cofactor-independent.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Stochastic or near-stochastic physical characteristics of resistive switching devices are utilized for generating data distinct to those resistive switching devices. The distinct data can be utilized for applications related to electronic identification. As one example, data generated from physical characteristics of resistive switching devices on a semiconductor chip can be utilized to form a distinct identifier sequence for that semiconductor chip, utilized for verification applications for communications with the semiconductor chip or utilized for generating cryptographic keys or the like for cryptographic applications.

Abstract: Stochastic or near-stochastic physical characteristics of resistive switching devices are utilized for generating data distinct to those resistive switching devices. The distinct data can be utilized for applications related to electronic identification. As one example, data generated from physical characteristics of resistive switching devices on a semiconductor chip can be utilized to form a distinct identifier sequence for that semiconductor chip, utilized for verification applications for communications with the semiconductor chip or utilized for generating cryptographic keys or the like for cryptographic applications.

Abstract: Stochastic or near-stochastic physical characteristics of resistive switching devices are utilized for generating data distinct to those resistive switching devices. The distinct data can be utilized for applications related to electronic identification. As one example, data generated from physical characteristics of resistive switching devices on a semiconductor chip can be utilized to form a distinct identifier sequence for that semiconductor chip, utilized for verification applications for communications with the semiconductor chip or utilized for generating cryptographic keys or the like for cryptographic applications.

Abstract: Stochastic or near-stochastic physical characteristics of resistive switching devices are utilized for generating data distinct to those resistive switching devices. The distinct data can be utilized for applications related to electronic identification. As one example, data generated from physical characteristics of resistive switching devices on a semiconductor chip can be utilized to form a distinct identifier sequence for that semiconductor chip, utilized for verification applications for communications with the semiconductor chip or utilized for generating cryptographic keys or the like for cryptographic applications.

Abstract: Stochastic or near-stochastic physical characteristics of resistive switching devices are utilized for generating data distinct to those resistive switching devices. The distinct data can be utilized for applications related to electronic identification. As one example, data generated from physical characteristics of resistive switching devices on a semiconductor chip can be utilized to form a distinct identifier sequence for that semiconductor chip, utilized for verification applications for communications with the semiconductor chip or utilized for generating cryptographic keys or the like for cryptographic applications.

Abstract: A method and apparatus for translating speech are provided. The method may include: recognizing received to-be-recognized speech of a source language to obtain a recognized text; concatenating the obtained recognized text after a to-be-translated text, to form a concatenated to-be-translated text; inputting the concatenated to-be-translated text into a pre-trained discriminant model to obtain a discrimination result for characterizing whether the concatenated to-be-translated text is to be translated, where the discriminant model is used to characterize a corresponding relationship between a text and a discrimination result corresponding to the text; in response to the positive discrimination result being obtained, translating the concatenated to-be-translated text to obtain a translation result of a target language, and outputting the translation result.

Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: A system to enable an automobile vehicle automated driving control includes a quality index of an automated driving control system prior to enablement of an automated driving control function of an automobile vehicle. An adaptive forward propagation horizon and a prediction horizon for assessment of the quality index are computed. Vehicle states and road geometry are propagated over the adaptive forward propagation horizon, and the quality index is assessed based on forward propagated states over the prediction horizon. A first signal permits actuation of the automated driving control function of the automobile vehicle and a second signal precludes actuation of the automated driving control function. One of the first signal or the second signal is elected based on the results of assessing a quality control index trajectory over the adaptive forward propagation horizon.

Abstract: A heating and cooling appliance includes a heat pump unit, an electric fireplace having an electric heating element and a display panel included on a front surface of the electric fireplace, a room temperature sensor, and a processor operatively connected to the heat pump unit, the electric heating element, and the room temperature sensor. The processor is configured to operate the heat pump unit in a cooling mode, operate the heat pump unit in a heating mode, or operate the electric heating element, in response to a signal received from the room temperature sensor. The processor is further configured to cause an image to be displayed on a display panel of the electric fireplace when either the heat pump unit or the electric heating element is operated.

Abstract: An embodiment of the present application discloses an actuarial processing method for solving the problems that the actuarial processing takes a long time and the processing efficiency is low.

Abstract: A charging method includes that after receiving a charging request, a master control device arranges a parking space for an electric vehicle to be charged and sends a traction device a movement instruction generated from the charging request; the traction device drives, according to the movement instruction, a charging controller to move along a guide rail to above the electric vehicle to be charged; the master control device sends a cable transferring instruction to a cable transferring device and the cable transferring device starts to lower a cable; after the cable transferring device lowers the cable to a preset position, the master control device sends a stop instruction to the cable transferring device and the cable transferring device stops lowering the cable; and the cable charges the electric vehicle to be charged.

Abstract: A method for text error correction includes: obtaining a text to be corrected; obtaining a pinyin sequence of the text to be corrected; and inputting the text to be corrected and the pinyin sequence to a text error correction model, to obtain a corrected text.

Abstract: A method for training a pre-trained knowledge model includes: obtaining a training text, in which the training text includes a structured knowledge text and an article corresponding to the structured knowledge text, and the structured knowledge text includes a head node, a tail node, and a relationship between the head node and the tail node; and training a pre-trained knowledge model to be trained according to the training text.

Abstract: A computer-aided design (CAD) system may support detection of internal channel networks for 3D printing and may include a CAD model access engine and a channel network detection engine. The CAD model access engine may access a CAD model of a physical object to be constructed through 3D printing. The channel network detection engine may detect an internal channel network included in the CAD model of the physical object, including by identifying channel openings along a surface of the CAD model that satisfy an opening size threshold and recursively identifying internal faces of the CAD model that form the internal channel network, wherein the internal faces are faces of the CAD model that are internal to the surface of the CAD model. The channel network detection engine may also perform a channel verification on the identified internal channel network to support the 3D printing of the physical object.

Abstract: Service providers can be identified to fulfill service requests of a network-based service. A network system is configured to generate, based on historical data associated with the network-based service, a machine-learned service provider optimization (MLSPO) model for generating service provider optimizations. The optimizations can include action recommendations that optimize one or more service metrics. The MLSPO model can be a reinforcement learning model generated by performing a plurality of simulations utilizing one or more virtual agents. A provider device of a service provider can transmit a set of data to the network system that indicates a current location of the service provider. Based on the current location and the MLSPO model, the network system can generate service provider optimizations. Optimization data can be transmitted to the provider device so that the provider device can display information corresponding to the service provider optimizations.