Abstract: Customized multimodal task models implement processing flows orchestrated by model customization agents that identify and modify task definitions based on multimodal user inputs. A task is selected to be performed by the customized multimodal task model based on user input that is received, labeled and compared with indexed task definitions of possible tasks. An inference contract for the selected task is created and optionally modified by presenting a proposed task definition for the selected task and obtaining new user input that at least confirms the proposed task definition or that supplements the initial user input for modifying the proposed task definition. An execution processing flow of the customized multimodal task model is created to implement the inference contract. The execution processing flow may be modified based on user feedback directed at inferenced images to improve the customized task model.

Abstract: An electronic device includes a housing, a camera module, and a decorative part. The housing is provided with a mounting hole. The camera module includes a lens and a module body connected to the lens. The decorative part includes a decorative part body and a skirt structure connected to the decorative part body. The decorative part body is disposed on the periphery of the lens and disposed in the mounting hole. The skirt structure is provided with a notch. The notch is opposite to the module body. An orthographic projection of a part of the module body opposite to the notch onto a plane of the skirt structure does not fall into the skirt structure.

Abstract: An electronic device includes a housing with a mounting hole, a camera module, and a decorative part. The camera module includes a lens and a module body connected to the lens. The decorative part includes a decorative part body and a skirt structure connected to the decorative part body. The skirt structure is provided with a notch. The notch is opposite to the module body. The skirt structure of the decorative part does not interfere with the camera module, such that the camera module is less prone to being damaged by the skirt structure.

Abstract: A method for high-precision prediction of shelf-life of aquatic products under a variable temperature environment includes: constructing and training a deep learning-based Facformer model for shelf-life prediction; obtaining aquatic products to be predicted; determining the temperature, TPC (Total Plate Count), and the TVB-N(Total Volatile Base-Nitrogen) of the aquatic products in a consecutive p-day period; recording the temperature data of the aquatic products in a period of days p to q, and importing the temperature in a period of consecutive p days, the TPC, and the TVB-N, and the temperature data within p to q days were imported into a pre-trained Facformer model for inference to obtain the predicted values of TPC, TVB-N, and shelf-life of aquatic products under variable temperature environment.

Abstract: Computer-readable media, methods, and systems are disclosed for storing and analyzing dynamic data within a semantic data store. The dynamic data comprises one or more types of data having a normalized data schema. A dynamic data manager interfaces with the semantic data store to instruct storage of the data. The data may be received through an event service from either of an external data source or an internal data source.

Abstract: This application relates to the field of electronic device technologies, and in particular, to an electronic device. The electronic device includes a housing, a camera module, and a decorative part. The housing is provided with a mounting hole. The camera module includes a lens and a module body connected to the lens. The decorative part includes a decorative part body and a skirt structure connected to the decorative part body. The decorative part body is disposed on the periphery of the lens and disposed in the mounting hole. The skirt structure is provided with a notch. The notch is opposite to the module body. An orthographic projection of a part of the module body opposite to the notch onto a plane of the skirt structure does not fall into the skirt structure.

Abstract: The disclosure relates to the technical field of image processing, in particular to a pulse wave velocity measuring method and an ultrasound device. The method includes: acquiring a target blood vessel ultrasound image of a target body, the target blood vessel ultrasound image including at least two sampling areas; based on the target blood vessel ultrasound image, acquiring a distance between the at least two sampling areas; analyzing images in the at least two sampling areas to acquire a time difference of displacement of preset points in a cardiac cycle between the at least two sampling areas; and based on the above distance and time difference, determining a pulse wave velocity of the target body. According to the disclosure, the pulse wave velocity is acquired through quantitative calculation from the target blood vessel ultrasound image, and therefore the accuracy of determining the pulse wave velocity is improved.

Abstract: Techniques for implementing a digital assistant that provides proactive notifications to users, summarizes data and relevant situations, forecasts/predicts future outcomes, simulates outcomes under different assumptions, generates recommendations to improve observed or assumed situations, and provides explanations for calculated outcomes are disclosed. In some example embodiments, a computer system is configured to detect a data change in one or more data sources, the data change corresponding to a monitored data object, generate a predicted future value for the monitored data object based on the detected data change, identify a deviation between the predicted future value and a planned future value for the monitored data object, determine that the identified deviation is relevant for a specific user at a specific time and in a specific context, and cause a notification corresponding to the deviation to be displayed on a computing device based on the determination that the deviation is relevant.