Abstract: The disclosure provides an information processing method, an apparatus, an electronic device and a storage medium. The method includes obtaining at least one piece of first information satisfying a predetermined condition in a target system; inputting a predetermined prompt and the at least one piece of first information into a target model, to obtain second information output by the target model, wherein data volume of the second information is less than that of the first information; and sending the second information to a target service scenario. In this embodiment, the user does not need to read a large amount of first information, the second information concerned in the first information may be directly obtained, time and energy are saved, and efficiency is improved.

Abstract: Embodiments of the present disclosure disclose a method, apparatus and electronic device for displaying. A particular implementation of the method comprises: obtaining subtitle information of a multimedia conference, wherein the subtitle information is obtained by converting voice information in the multimedia conference; determining content to be annotated in the subtitle information; obtaining annotation information of the content to be annotated; and displaying the subtitle information and displaying the annotation information corresponding to the content to be annotated. In this way, a new displaying approach for a multimedia conference is provided.

Abstract: The present disclosure provides an information processing method and apparatus, a terminal, and a storage medium. The information processing method, comprising: in response to a first operation event for a target entity word representing a project, a product, or a task in a work communication in displayed content, acquiring target entity word information associated with the target entity word, wherein the target entity word information comprises first information and second information, the first information comprising the meaning of the target entity word, and the second information comprising a communication identifier of a communication group or contact associated with the target entity word; and displaying the target entity word information.

Abstract: The present disclosure provides an information processing method and apparatus, a terminal, and a storage medium. The information processing method, comprising: displaying content in an interface, wherein the content comprises a target entity word; in response to a first operation event performed by a user on the target entity word, obtaining target entity word information, wherein the target entity word information comprises first information and second information, the first information comprises a meaning of the target entity word, and the second information comprises a communication identifier of a communication group or a contact person; displaying the first information and the second information; in response to a second operation event on the communication identifier of the communication group or the contact person, perform at least one of the following steps: adding the user to the communication group, entering the communication group or entering a chat interface with the contact person.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, by an assistant xbot associated with the one or more computing systems, a user request for a content digest, retrieving one or more content objects corresponding to the user request, generating one or more slides for the one or more retrieved content objects, respectively, and providing, by the assistant xbot, instructions for presenting the content digest responsive to the request from the first user, wherein the content digest comprises the one or more slides, and wherein one or more of the slides of the content digest are removed from the content digest after a predetermined time period.

Abstract: The present disclosure provides an asynchronous rendering method and apparatus, a device and a storage medium. The asynchronous rendering method is applied to a rendering engine, the rendering engine includes a synchronous rendering process and an asynchronous rendering process. The method includes: grouping primitives in an interface to be rendered to a plurality of primitive groups based on functions corresponding to each primitive of the primitives; determining rendering flags corresponding to each of the plurality of primitive groups, wherein the rendering flags include a synchronous rendering flag and an asynchronous rendering flag; and rendering primitive groups based on the rendering flags corresponding to each of the plurality of primitive groups, wherein a primitive group with the synchronous rendering flag is rendered by the synchronous rendering process, and a primitive group with the asynchronous rendering flag is rendered by the asynchronous rendering process.

Abstract: The present disclosure provides an arctigenin liquid nano-preparation and a preparation method thereof, and relates to the technical field of pharmaceutical preparation. In the present disclosure, arctigenin is prepared into a liquid nano-preparation, having advantages of distribution of a droplet diameter on nanoscale, significantly increased specific surface area, rapid absorption, and high bioavailability. Meanwhile, nano-preparation entered the body can be captured by wandering leucocytes, and a medicament is delivered to inflammatory lesions through chemiotaxis, thereby conferring a targeted drug delivery feature on the arctigenin and making a therapy more targeted.

Abstract: A system and method for cleaning and disinfecting handrail, a robot and passenger conveying equipment. The system for cleaning and disinfecting handrail has at least one robot, the robot including: a travelling device configured to enable the robot to travel along a target trajectory, a cleaning and disinfecting device configured to perform cleaning and disinfection operations on a target object, and a controller connected to the travelling device and the cleaning and disinfecting device and configured to control operation of the travelling device according to command signals such that the robot travels to a target position of the passenger conveying equipment along the target trajectory, and to control the cleaning and disinfecting device to perform cleaning and disinfection operations on the handrail at the target position.

Abstract: The present disclosure provides an arctigenin liquid nano-preparation and a preparation method thereof, and relates to the technical field of pharmaceutical preparation. In the present disclosure, arctigenin is prepared into a liquid nano-preparation, having advantages of distribution of a droplet diameter on nanoscale, significantly increased specific surface area, rapid absorption, and high bioavailability. Meanwhile, nano-preparation entered the body can be captured by wandering leucocytes, and a medicament is delivered to inflammatory lesions through chemiotaxis, thereby conferring a targeted drug delivery feature on the arctigenin and making a therapy more targeted. Moreover, in the present disclosure, the arctigenin is dissolved in an oil phase, and the oil phase is dissolved in water by emulsification to further make the arctigenin dissolve in the water and increase water solubility of the arctigenin.

Abstract: The present disclosure provides an information processing method and apparatus, a terminal, and a storage medium. The information processing method, comprising: in response to a first operation event for a target entity word in displayed content, acquiring target entity word information associated with the target entity word, wherein the target entity word information comprises first information and second information, the first information comprising the meaning of the target entity word, and the second information comprising a communication identifier of a communication group or contact associated with the target entity word; and displaying the target entity word information. According to the present disclosure, the meaning of the target entity word is displayed, and the communication group or contact associated with the target entity word is displayed, such that the user can quickly define the group or contact associated with the target entity word.

Abstract: In one embodiment, a method includes training a target machine-learning model iteratively by accessing training data of content objects, training an intermediate machine-learning model that outputs contextual evaluation measurements based on the training data, generating state-indications associated with the training data, wherein the state-indications comprise user-intents, system actions, and user actions, training the target machine-learning model based on the contextual evaluation measurements, the state-indications, and an action set comprising possible system actions, extracting rules based on the target machine-learning model by a sequential pattern-mining model, generating synthetic training data based on the rules, updating the training data by adding the synthetic training data to the training data, determining if a completion condition is reached for the training, and if the completion condition is reached returning the target machine-learning model, else repeating the iterative training of the tar

Abstract: In one embodiment, a method includes receiving an indication of a trigger action by a first user at a client system, wherein the trigger action is associated with a priming content object, identifying related content objects associated with the priming content object, selecting recommended content objects based on the priming content object, the related content objects, and profile information of the first user, wherein each of the selected recommended content objects comprises entity information of entities associated with the priming content object, and presenting content suggestions at the client system, wherein each content suggestion comprises one of the selected recommended content objects.

Abstract: In one embodiment, a method includes training a target machine-learning model iteratively by accessing training data of content objects, training an intermediate machine-learning model that outputs contextual evaluation measurements based on the training data, generating state-indications associated with the training data, wherein the state-indications comprise user-intents, system actions, and user actions, training the target machine-learning model based on the contextual evaluation measurements, the state-indications, and an action set comprising possible system actions, extracting rules based on the target machine-learning model by a sequential pattern-mining model, generating synthetic training data based on the rules, updating the training data by adding the synthetic training data to the training data, determining if a completion condition is reached for the training, and if the completion condition is reached returning the target machine-learning model, else repeating the iterative training of the tar

Abstract: In one embodiment, a method includes receiving an indication of a trigger action by a first user at a client system, wherein the trigger action is associated with a priming content object, identifying related content objects associated with the priming content object, selecting recommended content objects based on the priming content object, the related content objects, and profile information of the first user, wherein each of the selected recommended content objects comprises entity information of entities associated with the priming content object, and presenting content suggestions at the client system, wherein each content suggestion comprises one of the selected recommended content objects.

Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.

Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.

Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.

Abstract: In one embodiment, a method includes accessing an input vector representing an input post, wherein: the vector space comprises clusters each associated with a topic; each cluster was determined based on a clustering of training-page vectors corresponding to training pages that each comprise training posts, each training post submitted by a user to a training page and comprises content selected by the user; and each training-page vector was generated by an ANN that was trained, based on the training posts of training pages associated with the ANN, to receive a post and then output a probability that the received post is related to the training posts of the training pages; determining that the input vector is located within a particular cluster in the vector space; and determining a topic of the input post based on the topic associated with the particular cluster that the input vector is located within.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, by an assistant xbot associated with the one or more computing systems, a user request for a content digest, retrieving one or more content objects corresponding to the user request, generating one or more slides for the one or more retrieved content objects, respectively, and providing, by the assistant xbot, instructions for presenting the content digest responsive to the request from the first user, wherein the content digest comprises the one or more slides, and wherein one or more of the slides of the content digest are removed from the content digest after a predetermined time period.

Abstract: In one embodiment, a method includes receiving an indication of a trigger action by a first user at a client system, wherein the trigger action is associated with a priming content object, identifying related content objects associated with the priming content object, selecting recommended content objects based on the priming content object, the related content objects, and profile information of the first user, wherein each of the selected recommended content objects comprises entity information of entities associated with the priming content object, and presenting content suggestions at the client system, wherein each content suggestion comprises one of the selected recommended content objects.