Abstract: Certain aspects of the disclosure provide a method for extracting attributes from documents with varying formats, layouts and complexities. The method displays a user interface (UI) that enables a user to obtain an unstructured document from a knowledge base. The method converts the unstructured document into a text document using a text recognition. The method obtains, as output from a large language model (LLM), an extracted page attribute from the text document. The extracted page attribute contains a first type of information recorded in text on a single page of the text document. The extracted document attribute contains a second type of information recorded in text on more than one page of the text document. The method obtains, as output from the LLM, an extracted document attribute from the text document. The extracted page attribute and the extracted document attribute are displayed in the UI.

Abstract: The disclosed methods and systems are directed to water flooding optimizations at a resource site for increased production of hydrocarbons. According to some implementations, the methods include receiving at least one of: fluid production rate data and fluid injection rate data using one or more sensors at a resource site. The methods may also include generating a forecasting model based on one or more of the fluid production rate data and the fluid injection rate data. The disclosed methods further comprise executing, using the forecasting model, one or more sensitivity tests to generate a production forecast report.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media related to multi-stream video encoding for screen sharing a communications session. The system may determine an active pixel area and a remaining pixel area of a video region. of a video region. A first video stream of the active pixel area is generated at a first frame rate. A second video stream of the remaining pixel area is generated at second frame rate, where the second frame rate is a frame rate lower than the first frame rate. A client device may transmit the first video stream and the second video stream to a second client device.

Abstract: A vehicle door control method and apparatus, an electronic device, a vehicle and a readable storage medium. The method includes: sending a driving unlocking instruction to a vehicle door unlocking control unit when receiving a vehicle collision signal, so that the vehicle door unlocking control unit controls a vehicle door unlocking, where the driving unlocking instruction is sent for at least three times; determining the number of sending times of the driving unlocking instruction; if the number of sending times is greater than a preset number of sending times, determining a current state of the vehicle door; and if the current state is an unlocked state, stopping sending the driving unlocking instruction to the vehicle door unlocking control unit. The method improves the reliability of the vehicle door when unlocking.

Abstract: Noise can be reduced in video frames by performing one or more techniques described herein. For example, a system can divide a video frame into a set of blocks, determine a variance associated with a selected block, generate first frequency residuals associated with the selected block, and determine whether the variance is below a predefined threshold. If the variance is below the predefined threshold, the system can adjust an offset to be used during a quantization operation from a first offset value to a second offset value. The system can then apply the quantization operation to the first frequency residuals using the second offset value, to thereby generate second frequency residuals. Using the second offset value during the quantization operation can result in the second frequency residuals having a larger number of zero-valued frequency residuals, which in turn can reduce noise with respect to the selected block.

Abstract: A machine-learning system receives from multiple sensors a set of trace-data time series. Each time series contains a chronological sequence of sensor measurements of one attribute of one instance of a manufacturing product or process. The system partitions each series into a set of contiguous segments and selects one received series to be a standard series for each attribute. The starting and ending measurements of each non-standard time series are then time-aligned to the starting and ending points of the non-standard series' corresponding standard series, using a dynamic time-warping procedure. One or more segments of each aligned non-standard series are then aligned to each segment of the corresponding standard series. The resulting time-aligned, segmented time series are then incorporated into a corpus that is used by a machine-learning module to train a self-learning application.

Abstract: Embodiments described herein are generally directed to client/server software application development frameworks, and are particularly directed to systems and methods for supporting portable and extensible dynamic user interfaces and data validation. An application development framework is provided, wherein a rules engine component and rules are provided at both the client-side and the server-side, for use with a particular application. The rules engine and rules can be different implementations at each end. The client and server can communicate to exchange the latest versions of the rules; however the rules themselves are agnostic as to which (client-side or server-side) engine they are run on. The system allows users to configure policies associated with a client-side user interface and a backend server, that operate together to provide application portability and extensibility, for example to control the presentation, logic, defaulting, and operation of a data set associated with a dynamic user interface.

Abstract: An object tracking apparatus based on meta learning receives inputs of a video frame and a target initialization sentence, specifies, when the input video frame is a first video frame of a video sequence, a target from the first video frame based on the target initialization sentence, detects, when the input video frame is not a first video frame, objects that may interact with the specified target from the input video frame, determines a target and a related object from the corresponding video frame by predicting an interaction between the specified target and the detected objects, determines the target and the related object until the last video frame of the video sequence, and predicts trajectories of the target and the related object.

Abstract: Techniques for method for filtering artifacts from digital video are disclosed. In an example, a method includes accessing a video stream that includes a block with sub-blocks. The method includes, for each candidate filter strength parameter of a set of candidate filter strength parameters associated with the block, filtering each sub-block using a filter having the candidate filter strength parameter, creating a filtered block by combining the filtered sub-blocks, and calculating, for the filtered block, a distortion error measurement between a corresponding source block and the filtered block. The method includes selecting the filter strength parameters associated with a lowest distortion error measurement of the distortion error measurements. The method includes applying the selected filter strength parameters to an in-loop deringing filter to generate a filtered block of video.

Abstract: Techniques for selection of transform kernels for AV1 encoding are disclosed. In an example method, a computing system selects a transform kernel by iteratively evaluating each transform kernel in a candidate list until an early termination condition is satisfied. The iterative evaluation involves: generating transform coefficients for the transform kernel by applying a forward transform on a residual block of the transform kernel; generating quantized transform coefficients and dequantized transform coefficients; determining a transform-domain distortion using the quantized transform coefficients and the dequantized transform coefficients; determining a code rate based on the quantized transform coefficients; determining a rate-distortion cost using the code rate and a final distortion based on the transform-domain distortion; and selecting the transform kernel by determining that an early termination condition is satisfied. The computing system encodes the block using the selected transform kernel.

Abstract: Examples may involve obtaining a partial state of an agricultural environment, wherein the partial state includes representations of a weather status and a crop status, wherein a portion of the partial state is missing; providing, to a trained language model based reinforcement learning (LM-RL) agent, the partial state of the agricultural environment, wherein the trained LM-RL agent has been trained to, based on the partial state, predict an action that, when taken, causes an output of a utility function to be increased, wherein the action involves application of an amount of water and an amount of fertilizer to the agricultural environment, and wherein the utility function takes the partial state, the amount of the water and the amount of fertilizer as input and provides a future crop yield as the output; and providing, for display or storage, a representation of the action.

Abstract: In one example, a video encoder divides a superblock of a video frame into subblocks. The dividing includes dividing the superblock according to a first and second partitioning schemes to generate a first and second combination of subblocks, respectively. The number of non-zero residuals in each subblock in the first and second combinations of subblocks is less than a corresponding threshold set for a size of the subblock. The encoder determines the subblocks for the superblock as the first combination of subblocks based on a first cost value associated with the first combination of subblocks being lower than a second cost value associated with the second combination of subblocks. The encoder further encodes the superblock into a video bitstream representing the video by encoding the subblocks.

Abstract: A plastic spraying process for a surface of a plastic furniture product is provided, which includes the following steps of conducting treatment: adding a conductive filler and a temperature-resistant filler in a granulating process and granulating to obtain plastic particles, and using the plastic particles to prepare a plastic furniture product; or, coating a conductive primer on a surface of the plastic furniture product, components of the conductive primer containing a temperature-resistant accelerator; plastic powder spraying: sending the plastic furniture product to a spray room, and spraying the plastic powder on the surface of the plastic furniture product by a high-pressure electrostatic spray gun; curing: curing in a drying tunnel; and cooling: cooling to room temperature to finish plastic spraying. Through plastic spraying, a surface isolation protective layer is formed, which improves weather resistance, aging resistance and wear resistance of the plastic furniture product.

Abstract: A transport apparatus may include a patient bed unit for supporting the patient; a transferring unit for moving the patient bed unit along a first direction of the MRI device; and an elevating module for moving the patient bed unit along a second direction of the MRI device.

Abstract: Certain aspects of the disclosure provide a method that selectively extracts information from a knowledge base of an organization based on roles of users in the organization. A first large language model (LLM) is used to identify one or more blocks of text that a user is permitted to access based on a prompt input by the user via a user interface (UI) and the role of the user in the organization. A second LLM is used to generate a response to the prompt based on text of the prompt and the one or more blocks of text that the user is permitted to access. The response is displayed is UI. The response contains the one or more blocks of text that the user is permitted to access in the knowledge base.

Abstract: A data processing method includes processing first input data into second input data in response to obtaining a first processing instruction for the first input data, the first input data being data input to a target application; generating third input data based on an obtained adjustment operation for the second input data; and generating a target file matching a user intent based on the user intent represented by the third input data.

Abstract: Certain aspects of the disclosure provide a method for extracting attributes from documents with varying formats, layouts and complexities. The method displays a user interface (UI) that enables a user to obtain an unstructured document from a knowledge base. The method converts the unstructured document into a text document using a text recognition. The method obtains, as output from a large language model (LLM), an extracted page attribute from the text document. The extracted page attribute contains a first type of information recorded in text on a single page of the text document. The extracted document attribute contains a second type of information recorded in text on more than one page of the text document. The method obtains, as output from the LLM, an extracted document attribute from the text document. The extracted page attribute and the extracted document attribute are displayed in the UI.

Abstract: Fast parameter search for chroma from luma (CFL) intra prediction in video encoding is provided. A video encoder determines a value of a parameter of a linear CFL predictor for a coding block of a frame of a video. The determining includes dividing a search range within a value range of the parameter into three portions by a starting value: the starting value and values on two sides of the starting value. The encoder determines cost values of parameter values from the three portions and select the value of the parameter that corresponds to the lowest cost value. The encoder further encodes the coding block of the frame into a bitstream representing the video using the CFL predictor with the selected value of the parameter.