Abstract: Embodiments of this application relate to the field of terminal technologies and disclose a method for automatically enabling an access point function and a relay function, and an electronic device. After an electronic device is powered on, if the electronic device is connected to a wired network and does not use the network within preset duration, an AP mode is enabled; or if the electronic device is connected to a wireless network and does not use the network within preset duration, a repeater mode is enabled. The AP function and the relay function can be automatically enabled on the electronic device such as a personal computer or a smart screen, and an existing device of a consumer can be set as an AP or a repeater. The consumer does not need to buy a dedicated AP or repeater. This improves Wi-Fi use experience of the consumer.

Abstract: This application relates to the field of electronic device technologies, and discloses a projection method and apparatus, and an electronic device, to implement simultaneous multi-screen viewing during different-source projection. The method is applied to a projection system, and includes: A first electronic device creates a first virtual display in response to a projection operation performed by a user on an application, and generates a user interface of the application on the first virtual display; and when projecting the user interface that is of the application and that is generated on the first virtual display onto a second electronic device.

Abstract: A data processing method includes: when detecting that a first storage file in an ith layer of a target storage system meets a preset data merging condition, determining in an (i+1)-th layer a second storage position having a data merging relationship with a first storage position of the first storage file, and determining a second storage file located at the second storage position in the (i+1)-th layer; on the basis of a data comparison result between first data in the first storage file and second data in the second storage file, determining target write-in data configured to be written into a third storage file corresponding to the second storage file, and writing the target write-in data into the third storage file; and determining a target storage virtual file corresponding to the second storage file, and establishing, in the target storage virtual file, index information corresponding to the third storage file.

Abstract: Systems, apparatuses, and method for gas detections are disclosed. An exemplary system is a device that includes gas detector and a pump housing coupled to the gas detector. The gas detector comprises a first plurality of terminal electrodes, a plurality of switches, and a first infrared (IR) sensor. The pump housing comprises a pump, a second plurality of terminal electrodes, a plurality of magnets, and a second infrared (IR) sensor. The second plurality of electrodes are configured to align with the first plurality of terminal electrodes. The plurality of magnets are configured to control the plurality of switches to enable or disable flow of electricity from the first plurality of terminal electrodes to the second plurality of terminal electrodes to operate the pump for detecting a presence of gas. The second IR sensor is configured to communicate with the first IR sensor of the gas detector.

Abstract: An industrial controller implements a closed-loop control technique referred to as generic PID control, or GPID, which makes explicit the basic principles and methods of quantitatively combining the past, present and future in controller design and tuning. Generic PID control is backward compatible in design and in tuning with current industrial control software interfaces, and as such can be easily adopted onto existing control systems. Generic PID is also widely applicable to artificial intelligence (AI) and data analytics, such as machine learning, where error-correction is core to all algorithms.

Abstract: A fluxgate current sensor. A fluxgate signal corresponding to a primary current may be received. The fluxgate signal may include at least two plateau periods. Each plateau period may define a plurality of candidate calculation windows. An operation condition classification may be generated based on a signal characteristics set by applying the signal characteristics set to a classification model. The operation condition may be one of an AC operation condition or DC operation condition. A calculation window may be selected based on the operation condition classification. The plurality of calculation windows may include a first calculation window and a second calculation window. A predicted current value may be generated for the primary current by applying sampled current values within the selected calculation window for each of the at least two plateau periods to a prediction model.

Abstract: A data query method, a computer device, and a storage medium are provided. Virtual data tables corresponding to a physical data table are generated by means of attribute information of the physical data table, then a plurality of target virtual data tables among the virtual data tables are associated to obtain a wide virtual data table, and data querying is performed by using the wide virtual data table.

Abstract: A data processing method includes: when detecting that a first storage file in an ith layer of a target storage system meets a preset data merging condition, determining in an (i+1)-th layer a second storage position having a data merging relationship with a first storage position of the first storage file, and determining a second storage file located at the second storage position in the (i+1)-th layer; on the basis of a data comparison result between first data in the first storage file and second data in the second storage file, determining target write-in data configured to be written into a third storage file corresponding to the second storage file, and writing the target write-in data into the third storage file; and determining a target storage virtual file corresponding to the second storage file, and establishing, in the target storage virtual file, index information corresponding to the third storage file.

Abstract: This disclosure provides function conflict processing methods and apparatuses. In an implementation, a method includes: receiving, from a first device and by a second device, projection data and first status information of a first function of the first device, wherein the first status information indicates a working status of the first function of the first device, and in response to determining that: (1) the first status information indicates that the first function of the first device is in a working state and (2) a first function of the second device is in a working state, processing, by the second device, a conflict of the first function.

Abstract: The automatic generation of synthetic training data that can be used to train a language model to generate code examples following a code language based on a natural language input. Thus, new language models may be created, or existing language models may be fine-tuned, to adapt to automatically generate code without having to manually generate bulk quantities of training data. Rather, a many-to-many grammar mapping is navigated to generate training data. Specifically, the many-to-many grammar mapping maps code grammar to natural grammar. Then, each training data is generated by navigating the many-to-many grammar mapping definition to generate a mapping of a respective code expression to a respective natural language expression.

Abstract: A method for objectively evaluating content output by a retrieval augmented generation (RAG) system includes obtaining question-answer information for one or more data chunks residing in a source index and prompting a large language model (LLM) to generate one or more answer construct conditions for a first test question included in the question-answer information. Each of the answer construct conditions identifies a condition that is satisfied by a ground truth answer to the first test question. The method further includes generating a question-specific evaluation metric for the first test question based on the answer construct conditions and prompting multiple differently configured retrieval augmented generation (RAG) systems to answer the first test question based on information within the source index.

Abstract: Methods, systems, and computer storage media for providing domain-integrated contextual response management using a domain-integrated contextual response engine in an artificial intelligence (AI) system are described. Domain-integrated contextual response management is a systematic approach that combines specific industry knowledge with contextual understanding to generate accurate, relevant, and specific industry-tailored responses to user queries. Domain-integrated contextual response management further includes fine-tuning models for Retrieval-Augmented Generation (RAG) tasks using customer-specific data based on a two-fold approach involving skill distillation and knowledge distillation (i.e., skill distillation from a more powerful model like Large Language Model “LLM” and knowledge distillation from domain-specific data). Domain-integrated contextual response management also includes creating a synthetic dataset that enables smaller models (e.g.

Abstract: A method of assisting a user with the discovery of program features is provided. The method includes detecting a selection of a data structure within a user interface, determining a contextual parameter based on the selected data structure, the contextual parameter associated with a modifiable feature of the selected data structure, determining options for generating program code configured to modify the modifiable feature are available based on the contextual parameter and a predefined inferential relationship between the contextual parameter and the modifiable feature of the selected data structure, and prompting the user in the user interface with information indicating that the determined options for generating the program code are accessible in the user interface.

Abstract: A vehicle safety inspection system and method are provided. The vehicle safety inspection system includes: a scanning device mounted in an inspection region for scanning a detected vehicle; an imaging device for acquiring an image of the vehicle being driven into the inspection region; a recognition module for recognizing the image and determining a type of the vehicle according to a recognized image; a selection module for selecting a feature of a trunk of the vehicle according to a determined type of the vehicle; a position sensor for detecting a position of a predetermined part of the vehicle in the inspection region; and a controller for controlling the scanning device to scan and inspect the trunk when a front end section of the trunk of the vehicle is determined to enter a scanning region of the scanning device according to the feature and position of the vehicle.

Abstract: A current sensing system may include a housing having a chamber configured to contain an epoxy, the housing further comprising a magnetic core having a gap configured to surround the chamber and a spacer structure mechanically coupled to the magnetic core configured to stabilize the gap of the magnetic core. The current sensing system may further include a Hall sensing element comprised within the chamber and surrounded by the epoxy. The spacer structure may be further configured to allow the epoxy to sufficiently cure at temperatures at or above a predetermined threshold.

Abstract: The present disclosure provides a radiation inspection system, including a container respectively provided with an entrance and an exit on opposite side walls thereof; and a radiation scanning imaging device disposed in the container and having an inspection channel. The radiation scanning imaging device includes a ray source, the ray source includes ray generators, and ray generators are configured to emit ray beams at different angles, so that the radiation scanning imaging device performs radiation scanning inspection on an object to be inspected passing through the inspection channel from the entrance to the exit.

Abstract: A generative artificial intelligence system includes a retrieval augmented generation (RAG) assistant that utilizes function calling to facilitate multi-source data retrieval to enhance user queries transmitted to a large language model (LLM). The RAG assistant Transmits, to the LLM, a function selection instruction prompt that includes conversation history data, a function list including function definitions that each correspond to a data source, and instructions directing the LLM to return a function call to at least one function defined on the function list identified as relevant to the conversation history data based on a corresponding function descriptor. In response to receiving a function selection response from the LLM that includes the function call, the RAG assistant selects and executes a conditional operation based on a name of the at least one function.