683 results about "Contextual information" patented technology

Systems and methods for securely deploying a collective workspace across multiple local management agents are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, at a workspace orchestration service from a first local management agent, first context information and a first split key; receive, at the workspace orchestration service from a second local management agent, second context information and a second split key; determining, by the workspace orchestration service, that the first and second context information match a collaborative workspace policy; in response to the determination, authenticate the first and second split keys; and in response to the authentication, transmit a collaborative workspace definition to the first and second local management agents.

Various embodiments described herein relate to real-time proximity-based contextual information for an industrial asset. In this regard, a request to establish a remote collaboration environment associated with an industrial asset in an industrial environment is received. The request includes an asset identifier provided by a mobile computing device proximate to the industrial asset. The request also includes location data associated with the industrial asset. In response to the request, contextual data for an industrial task associated with the industrial asset is determined based on the asset identifier and the location data. Furthermore, one or more interactive media elements associated with the industrial task is generated based on the contextual data. The one or more interactive media elements are communicated via the remote collaboration environment.

The invention relates to a method for operating a virtual assistant in a vehicle (1), wherein the virtual assistant, at least taking into account a context determined for the vehicle (1) to assist a user (2), controls a vehicle function and / or causes the output of information to the user (2). The method according to the invention is characterized in that interactions performed by the user (2) are recorded, wherein a trigger module (3) classifies the interactions to generate interaction information; the context of at least the vehicle (1) is captured by a context module (4) and provided by the context module (4) in the form of context information; When a new interaction is recorded, the interaction information generated for this interaction and the context information available are fed to a conclusion module (5), which processes the interaction information and context information with a suitably trained large base model (6) and outputs conclusion information as a processing result, comprising control commands for controlling the vehicle function and / or output information for output to the user (2) via vehicle-specific output means.

This electronic device comprises a memory for storing instructions, a display, and at least one processor including processing circuitry. The instructions, when executed individually or collectively by the at least one processor, cause the electronic device to: when a first user command for capturing a first screen of the display is identified, acquire a captured image of the first screen and additional information related to the first screen; when a text included in the captured image is identified, convert the identified text into structured text data on the basis of the additional information; acquire paste content on the basis of the structured text data and context information about a second screen of the display; and input the paste content to an input field included in the second screen.

The application discloses a kind of intelligent query control method and electronic equipment based on natural language interaction.The method includes the following steps: building context knowledge base, converting into context vector, and storing in vector database;Convert the input natural language question into query vector;Retrieve the k context vectors most similar to the query vector from the vector database, and determine the corresponding context information;Combine the natural language question and the retrieved context information into a prompt word sequence input into a large language model (LLM) to obtain an SQL query statement, and analyze whether the natural language question contains a control intent;Execute the SQL query statement;If the natural language question contains a control intent, analyze the query result intelligently and perform the corresponding device control operation.The application can analyze the control intent in the natural language question, and after the result is queried, the corresponding device can be controlled according to the control intent to work, improving the work efficiency.

Embodiments of the present disclosure relate to systems and methods for a base model functionality for time series data of operational processes with industrial context information for industrial applications. The method comprises: transforming time series data of an operational process associated with at least a first industrial plant into a sequence of time cells associated with respective segments of the operational process; appending time cells in the sequence of time cells with industrial context information; obtaining a sequence of context tokens from the appending by means of a tokenization method, wherein one context token represents one time cell; training a generative AI model on the sequence of context tokens using a loss function; and using the trained generative AI model with the base model functionality for at least one of: i) fine-tuning the trained generative AI model for a second industrial plant different from the first industrial plant; ii) making a forecast for a further progress of an operational process of the second industrial plant.

This invention discloses a medical image segmentation method based on inverse residual attention and multi-scale context. The method inputs the medical image to be segmented into an improved RAS-UNet segmentation network model. This model introduces an inverse residual attention module at the bottleneck feature of the deepest layer of the encoder, which suppresses background through an inverse weighting mechanism and enhances attention to blurred boundaries and weak response regions. Simultaneously, a hollow spatial pyramid pooling module is introduced into the decoding path, utilizing a parallel multi-branch structure to fuse multi-scale contextual information to adapt to lesions or anatomical structures of different sizes. Skip connections between the encoder and decoder achieve efficient fusion of detailed and semantic features. This invention can significantly improve the accuracy and boundary accuracy of segmenting medical targets such as polyps, breast tumors, and the hippocampus, providing a reliable tool for clinical auxiliary diagnosis.

This invention discloses a method for generating averaged images based on dynamically weighted adaptive noise-aware frames, comprising: S10, input image sequence; S20, noise level estimation; S30, spatiotemporal consistency detection; S40, adaptive weight calculation; S50, Bayesian state update; and S60, output generation. This invention maintains a dynamic, multi-dimensional state estimate for each pixel location and, based on a Bayesian update rule, calculates an optimal fusion weight each time a new image frame is received, based on the new observation value of the pixel and its local context information, thereby updating the average estimate and confidence level of that pixel. This method abandons fixed historical frame windows or global motion models, instead employing a "soft decision" recursive update approach.

A method, apparatus, and computer-readable medium for foreground object deletion and inpainting, including storing contextual information corresponding to an image of a scene, identifying one or more foreground objects in the scene based at least in part on the contextual information, each foreground object having a corresponding object mask, identifying at least one foreground object in the one or more foreground objects for removal from the image, generating a removal mask corresponding to the at least one foreground object based at least in part on at least one object mask corresponding to the at least one foreground object, determining an estimated geometry of the scene behind the at least one foreground object based at least in part on the contextual information, and inpainting pixels corresponding to the removal mask with a replacement texture omitting the foreground object based at least in part on the estimated geometry of the scene.

An electronic apparatus is provided. The apparatus includes a first camera sensor, memory including one or more storage media, storing instructions, at least one processor communicatively coupled to the first camera sensor and the memory, wherein the instructions that, when executed by the at least one processor individually or collectively, cause the electronic apparatus to control the first camera sensor to acquire at least one frame based on at least one first frame rate corresponding to a first operation mode while the electronic apparatus travels in a traveling space in the first operation mode, switch from the first operation mode to a second operation mode based on context information related to the traveling space, and control the first camera sensor to acquire at least one frame based on at least one second frame rate corresponding to the second operation mode while the electronic apparatus travels in the traveling space in the switched second operation mode, and wherein the at least one second frame rate comprises a frame rate which is different from the at least one first frame rate.

Embodiments of this disclosure provide a control method, apparatus, device, computer program product, and computer-readable storage medium. The method determines contextual information, including location information, of at least one user based on sound data within a space, and controls an audio-visual system to emit directional sound and light signals towards the location of at least one user based on this contextual information. This provides targeted and personalized audio-visual signals to users sharing the same space, ensuring that different users do not interfere with each other and greatly improving the user experience. Furthermore, by determining contextual information including location information based on sound information, user privacy can be significantly protected from disclosure.

The invention provides a rules engine that manages user requests within an interface integrating multiple AI platforms and AI Models. Upon receiving a query, the engine assigns scores based on factors like management rules, user preferences, and contextual information. Determinative scores, such as those enforcing strict enterprise policies, can override others, leading the engine to block or reroute the query. If no score is determinative, the engine forwards the query and associated prompts to a specialized routing AI Model for contextual analysis. Based on this analysis, the rules engine directs the query to the most appropriate AI Model or defaults to the user-designated AI Model. This system balances user intent with rule enforcement, optimizing query processing across various AI platforms while ensuring compliance with enterprise guidelines.

This application relates to a content search method, apparatus, electronic device, and storage medium. The method includes: responding to a search request for a target object, using a generative large model to perform text correction processing on initial search terms carried in the search request to obtain corrected search terms; using the generative large model to search for target media content matching the corrected search terms from a preset vectorized knowledge base as first search context information, the preset vectorized knowledge base being used to store vectors of content vertical domain knowledge; guided by the first search context information, the generative large model performing search term update and rewriting processing on the corrected search terms to obtain corresponding rewritten search terms; and performing content search based on the rewritten search terms to obtain content search results. According to the technical solution provided in this application, the generative large model is made more lightweight, and the rewritten reference is more comprehensive, thereby making the search rewriting more accurate.

A method for generating contraband images based on an improved DDPM (Discretionary Data Processing Model) is disclosed. The method includes: creating a contraband dataset; constructing a contraband image generation model based on the improved DDPM and generating feature maps of contraband in different poses; determining the weights of the contraband image generation model based on the improved DDPM; and generating an image of a specific contraband. The contraband image generation method based on the improved DDPM provided by this invention has the following advantages: it reduces the number of model parameters and improves model running speed; it improves model performance, perception ability, and efficiency, better handles multi-scale features, and reduces model parameters and computational load; it better captures global contextual information in the image, thereby improving the accuracy of image segmentation and allowing the model to focus more on important regions in the image.

This invention belongs to the field of national defense and security technology, and specifically relates to a method for single-angle rotation sampling and feature extraction for target detection in remote sensing images. It efficiently extracts features from the input feature map, generating refined feature descriptors for predicting weights and angles. A weight-angle dual-path prediction head, based on the refined features, predicts a set of optimal rotation angles and corresponding combined weights in parallel. A multi-kernel dynamic combination, serving as the output and application stage of the routing function, performs a one-time rotation and weighted fusion on m basic convolutional kernels based on the predicted sum, generating the final dynamic rotation kernel used for convolution, thus achieving multi-angle feature extraction equivalent to a single operation. This invention constructs an efficient routing prediction network that can directly and accurately predict the optimal convolutional kernel rotation angle and the combined weights of a set of basic convolutional kernels for the current target region based on the contextual information of the input features.

The application provides a communication method and device, in which a terminal device sends context information stored by the terminal device to a network device (an access network device and / or a core network element). In this way, the network device before handover does not need to send the context information of the terminal device to the network device after handover, and the signaling overhead between the network devices can be saved; or the access network device and the core network element do not need to perform signaling interaction to create the context of the terminal device, and the signaling overhead between the access network device and the core network element can be saved.

The present invention relates to a method for capturing, processing and presenting data using artificial intelligence (AI), comprising the following steps: a) determining context information relevant to a user, the context information being generated on the basis of user data, user inputs, stored information and / or environmental conditions; b) analyzing the context information by means of an algorithm with the use of AI, in order to identify relevant topics, ideas and / or prompts which are suitable for prompting the user to input further data; c) generating one or more personalized suggestions on the basis of the analysis of the contextual information, the suggestions being specifically matched to the determined topics or interests of the user; d) automatically providing the generated suggestions to the user in the form of a spoken, textual, haptic and / or pictorial output; e) capturing inputs of the user in response to the generated output.

The subject technology relates to context-based response formulation for retrieval-augmented generation systems. An example method facilitating context-based response formulation for retrieval-augmented generation systems includes supplementing a query provided to a machine learning model with supplemental entity data, resulting in an augmented query, where the supplemental entity data is determined based on context information associated with the query and expected entity types associated with a determined intent of the query. The method can further include determining an estimated degree of error associated with a document retrieved by the machine learning model in response to the augmented query, and facilitating, in response to the estimated degree of error being lower than a threshold degree of error, generating a response to the query based on the document.

The application discloses a code review method and related equipment, and relates to the technical field of software development. The method comprises the following steps: if a review triggering event for target code is detected, obtaining context information of the target code; based on the context information, calling a preset large language model to perform primary code review on the target code, and generating a primary review result; if the primary review result meets a preset condition, obtaining user feedback information for the primary review result; based on the context information, the primary review result and the user feedback information, calling the preset large language model to perform secondary code review on the target code, and generating a target review result. The application introduces a large language model primary review based on context and a secondary review mechanism combined with user feedback in the code review process, realizes the automation and iterative optimization of code review, reduces the dependence on manual work, improves the review efficiency, and improves the accuracy and reliability of the review result.

Method for assisting a driver during lane changes with an ego vehicle (100) comprising the following procedural steps: - Detection of the state of the direction indicator of the ego vehicle (100) using a device (3) for detecting the state of a direction indicator of the ego vehicle (100), - Determining the driver's intention to change lanes, - when a lane change intention is detected, determine the position and speed of other vehicles relative to the ego vehicle (100) and calculate a speed target for the ego vehicle (100) during the lane change based on the determined positions and speeds of the other vehicles relative to the ego vehicle (100), and - Displaying the speed limit to the driver, characterized in that - Contextual information of the ego vehicle (100) regarding the type of road traveled by the ego vehicle (100), as well as any associated entry and exit areas and the relative positions and relative speeds of other vehicles, are recorded, and - the lane-changing intention is determined from the fusion of context information with information regarding the state of the turn signal, and - the fused information is checked for consistency, and in case of inconsistency between the context information and the information regarding the state of the direction indicator, the context information is preferred for determining the lane change intention by ignoring the information from device (3).

The application discloses an information processing method and device, electronic equipment and medium, and relates to the technical field of terminals. The method comprises the following steps: in the case of displaying a reading interface, a first input is received, the first input being used for determining first interaction information; wherein the reading interface comprises first reading information, and the first reading information has an association relationship with the first interaction information; based on the first interaction information and context information corresponding to the first reading object, first reply information is displayed on the reading interface.

A power plant equipment monitoring method comprises: identifying key information in power plant information based on a large language model, and extracting context information therefrom; the large language model analyzes real-time sensing data based on the context information of the to-be-monitored power plant equipment, obtains a device state of the to-be-monitored power plant equipment, and obtains detailed description content for explaining the device state; image information including the to-be-monitored power plant equipment is obtained, and the real-time sensing data, the context information, and the corresponding natural language description are respectively superimposed into the image information to generate an augmented reality display interface. Since the augmented reality display interface can facilitate a user to directly obtain a state in which the to-be-monitored power plant equipment is located and quickly obtain an explanation and description of the state in which the to-be-monitored power plant equipment is located, the user can intuitively and quickly and comprehensively understand the state of the power plant equipment. The application further provides a power plant equipment monitoring system, equipment and medium.

The application relates to the technical field of quality management, in particular to a stamping hardware quality management method and system. Production batch information and production event context information are acquired; quality data uploaded by an automatic detection device and associated detection context information are acquired, the detection context information comprising detection time, detection device identification and batch identification; based on the production batch information, the production event context information and the detection context information, multidimensional consistency evaluation is carried out; according to the result of the multidimensional consistency evaluation, correlation judgment is carried out and a correlation between the quality data and the production batch information is established; quality data that cannot establish a correlation through correlation judgment is marked and manual checking is prompted. The application solves the technical problem of quality data and actual production batch correlation confusion caused by inconsistent or incorrect batch information entry in large-scale production of stamping hardware.