5015 results about "Data processing system" patented technology

A federated distributed AI reasoning and action platform utilizing decentralized, partially observable hierarchical computing for neuro-symbolic reasoning. It features a federated Distributed Computational Graph (DCG) system integrating core components like pipeline orchestration, transformers, and marketplaces. The platform enables privacy-preserving dynamic resource allocation, intelligent task scheduling, and variable information sharing across diverse computing environments. By coordinating with an AI-based operating system and analyzing performance metrics, environmental conditions, and resource availability, the system optimizes efficiency across AI workloads and decision-making processes. This results in an adaptive, power-efficient, and scalable AI-enabled data processing system capable of handling complex tasks while maintaining peak performance under various operating conditions.

The invention discloses a geographic information big data-oriented multi-source data processing system, and relates to the technical field of data acquisition and sensors, and the system comprises a data acquisition module which accesses a remote sensing satellite, an unmanned aerial vehicle, an Internet of Things sensor and social media in real time through a multi-source heterogeneous interface, and carries out the adaptive analysis of a data format and metadata marking; the distributed storage module is used for performing partition storage on the geographic information data based on a space-time database and an object storage architecture, and establishing dynamic space-time index and version control; the data fusion module is used for realizing coordinate system conversion, time sequence calibration and semantic knowledge graph matching based on a multi-source data alignment method of dynamic weight distribution; and an intelligent analysis module and a security control module. According to the method, core pain points such as data splitting, low storage efficiency, extensive analysis and compliance risks in the geographic information field are systematically solved, and a full-stack type technical base is provided for scenes such as smart cities, emergency disaster relief and environment monitoring.

A data processing system comprising: inputting a tiled image of a vehicle including four different angle views of the vehicle combined into a single image to a first machine learning model (e.g. CNN), the model trained based on historical image data to predict a first likelihood of total loss vehicle; inputting a multi-fusion of images each into a second set of machine learning models; the multi-fusion of images including a set of separate and distinct images for each of the views input separately into the second set of machine learning models, and extracting features to predict a second likelihood of total loss vehicle; inputting tabular data relating to the vehicle into a third machine learning model to predict a third likelihood of total loss vehicle for the vehicle; and aggregating the first, second and third likelihood of total loss vehicle to determine the overall likelihood of total loss.

The invention discloses an intelligent driving multi-sensor fusion data processing system, which belongs to the technical field of fusion data processing and comprises a data preprocessing unit, a data fusion unit and a data post-processing unit. The data preprocessing unit normalizes the original data of the laser radar, the camera, the millimeter wave radar and the ultrasonic sensor through a standardization, cleaning, noise reduction and calibration synchronization module; the feature level fusion module deeply digs the characteristics of each sensor, and fuses geometric, visual, motion and close-range obstacle features by using a deep neural network; the decision-making level fusion module generates a driving instruction through weighted voting and fuzzy logic reasoning through classification and situation evaluation; and the data post-processing unit combines the vehicle and road condition optimization instruction, evaluates the risk, and stores the data feedback optimization system. The system can improve the sensing precision and decision reliability, enhances the expansion adaptability of the system, and provides guarantee for safe and efficient operation of intelligent driving.

The invention discloses a point cloud data rapid processing system based on 3D vision, and relates to the technical field of point cloud data processing. The binocular acquisition module generates an anti-interference high-precision point cloud; the preprocessing module is used for reducing noise and dimensionality and retaining key geometric features; the hierarchical feature extraction module fuses curvature weight and a non-maximum suppression strategy, and improves the robustness of an ORB algorithm in rotation, scale and noise scenes; the industrial scene segmentation module accurately separates stacked objects through normal vector clustering and a dynamic region growing algorithm, and secondarily verifies boundaries in combination with a lightweight semantic model; the two-stage registration module dynamically adjusts a threshold value based on error feedback to realize pose optimization from coarse registration to fine registration; the coordinate mapping module establishes a space mapping model through multi-attitude calibration and robot multi-axis linkage trajectory optimization. The problem that in the prior art, a 3D machine vision algorithm is high in time delay is solved, the real-time performance and rapidity of 3D model recognition and feature extraction are improved, and the efficiency requirement of industrial production is met.

The invention relates to a remote education data processing system which comprises the following steps: under a remote teaching task, pre-defining a task intention and a data expectation point; a semantic timestamp and a task binding label are printed on each data fragment; mapping the collected confusion data including silence, eye movement drift and prediction into a unified learning semantic vector; a micro-expression + interactive behavior + time sequence decision path ternary modeling mode is introduced, and a potential cognitive intention corresponding to the feature combination is recognized; teaching context information is fused; constructing a cognitive state mapping model; reasoning a current cognitive state label from multi-modal sensing data; searching intervention track VS effect feedback data in a historical database; generating a predicted intervention behavior sequence by using a sequence modeling algorithm; a dynamic combination suggestion chain including light prompt, content reconstruction, personalized practice and tutoring invitation is adopted; and superposing the cognitive state sequences of all students into a group cognitive trajectory map.

The invention relates to the technical field of AI interaction data processing, and discloses an AI interaction data processing system based on multi-modal perception and dynamic decision, comprising the following modules: a multi-modal perception module used for collecting environment data through a multi-source sensor; the data fusion module is used for generating fused feature data; the causal decision-making module is used for generating a decision-making action to cope with the change of the environment; the decision security module is used for identifying potential safety hazards in the high-risk scene and generating alternative decision or early warning information; the sensing calibration module is used for optimizing a sensing strategy in a changing environment; and the adaptive optimization module continuously optimizes the perception and decision strategy. According to the invention, the multi-modal sensing module is combined with a cross-modal consistency learning mechanism and a noise robustness enhancement technology, and the data fusion module introduces a context sensing attention mechanism and a multi-level feature alignment network, so that the sensing ability of the system to complex environment information and the comprehensiveness and accuracy of feature representation are effectively improved.

A federated distributed AI reasoning and action platform utilizing decentralized, partially observable hierarchical computing for neuro-symbolic reasoning. It features a federated Distributed Computational Graph (DCG) system integrating core components like pipeline orchestration, transformers, and marketplaces. The platform enables privacy-preserving dynamic resource allocation, intelligent task scheduling, and variable information sharing across diverse computing environments. By coordinating with an AI-based operating system and analyzing performance metrics, environmental conditions, and resource availability, the system optimizes efficiency across AI workloads and decision-making processes. This results in an adaptive, power-efficient, and scalable AI-enabled data processing system capable of handling complex tasks while maintaining peak performance under various operating conditions.

A data processing system implements receiving a call requesting a generative model to generate a semantic tree for a source content; constructing a first prompt including the source content and instructions to the model to analyze a semantic structure of the source content and to generate a semantic outline and content chunks of the source content, the semantic outline including one or more topics each connected with one or more of the content chunks, to compute one summary for each of the content chunks, to apply indices to reference each topic node of the semantic tree to one of the topics, and to apply indices to reference each leaf node of the semantic tree to one of the content chunks and the respective summary; providing the first prompt to the model and receiving the semantic tree of the source content; and storing the semantic tree in a database.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses an intelligent optimization method, device and equipment for query statements and a medium. The method comprises the steps of recording execution plan information and resource consumption information of an original query statement, generating original execution information, preprocessing the original query statement and the original execution information to generate preprocessing data, extracting feature information from the preprocessing data, generating optimization information through a pre-trained optimization model based on the feature information, and sending the optimization information to a server. And according to the optimization information, adjusting the content or execution mode of the original query statement, and generating an optimization query instruction. According to the method, the feature information is extracted by monitoring the actual query behavior and combining the execution performance, and the optimization strategy is generated by utilizing the training model, so that the automatic optimization of the original query statement is realized, the manual intervention cost is reduced, and the intelligent adaptation capability of the query performance is improved.

A data processing system implements obtaining build logs that include information associated with a software build problem; analyzing the logs to generate a knowledge graph identifying the relationship between various entities in the logs; extracting a signature of a candidate root cause of the build problem from the knowledge graph representing a subset of nodes and edges of the knowledge graph; providing the signature of the candidate root cause to a graphical language model to obtain a prediction of a category of root cause failure selected from among a plurality of root cause failures; constructing a prompt for a language model to generate a root cause failure analysis that describes the root cause of the build problem, the prompt including the category of root cause; receiving the root cause failure analysis from the language model; and performing one or more actions in response to receiving the root cause failure analysis.

Methods and systems for managing operations of a data processing system are disclosed. To manage operations of the data processing system, a management controller of the data processing system may obtain validated location data for the data processing system via an out-of-band communication channel. The management controller may identify applicable policies based on the validated location data. If the management controller identifies a policy applicable to a geographical location of the data processing system, then the management controller may perform an action set to manage operation of the data processing system based on instructions associated with the applicable policy. The updated operation of the data processing system may increase the security of sensitive data managed by the data processing system.

The invention relates to the technical field of medical data processing systems, in particular to an artificial intelligence-driven medical diagnosis and treatment data processing method and system. The method comprises the steps that a multi-modal medical data acquisition module acquires and processes multi-source heterogeneous medical data of a patient, and a standardized data set is generated; a medical feature depth extraction module performs multi-dimensional feature extraction on the data set, and constructs a dynamic evolution feature matrix; a multi-dimensional health state space construction module constructs a patient health state multi-dimensional space according to the matrix and determines a key medical early warning index set; the real-time medical data fusion module maps real-time data to the space to generate real-time health risk factors; and the medical risk prediction and decision-making module establishes a personalized model, outputs a disease occurrence probability and generates personalized treatment suggestions. The system solves the problems that medical data processing is difficult, diagnosis analysis is not comprehensive, and a treatment scheme lacks personality, and diagnosis accuracy and treatment pertinence are improved.

A data processing system implements receiving, via a user interface of a client device, a query to a large language model (LLM) working in conjunction with an embedding model comprising a corpus of artifacts. The system further implements converting the query into a query embedding, transforming the query embedding into a transformed query embedding using a first transformation function that adds a first residual term to the query embedding, the first residual term being specific for a task associated with the query, measuring a first similarity between the transformed query embedding and corpus element embeddings in an embedding space of the embedding model, determining first top-rated corpus element(s) associated with the corpus element embeddings based on the first similarity, incorporating the first top-rated corpus element(s) into the query as a prompt to the LLM to generate a response to the query, and providing, via the user interface, the response.

A data processing system implements receiving, via a user interface of a client device, images for generating a collage image; generating captions for the images; constructing a first prompt by appending the captions to a first instruction string including instructions to a generative language model to extract a theme from the captions; providing the first prompt to the generative language model and receiving the theme therefrom; constructing a second prompt by appending the theme to a second instruction string including instructions to a text-to-image model to use the theme to create a background image with placeholders; providing the second prompt to the text-to-image model and receiving the background image therefrom; identifying the placeholders in the background image; creating the collage image by fitting the images into the identified placeholders; providing the collage image to the client device; and causing the user interface to display the collage image.

Methods and systems for managing a data processing system based on location data are disclosed. A management controller of the data processing system may provide the location data via an out-of-band communication channel to a geolocation management server tasked with mapping a location of the data processing system over time. The data processing system may identify an occurrence of an event based on the location data (e.g., a change in location of the data processing system), prompting the data processing system to perform an action set to update operation of the data processing system (e.g., to conform to location-based policies). Based on its updated operation, the data processing system may provide computer-implemented services that are more likely to be in compliance with local policies.

A data processing system implements receiving, via a user interface, a first request for first content to be generated by a generative model, the first request including a first prompt describing the first content associated with output value(s) of a statistical test; executing a query on expert knowledge source(s) to obtain statistical test parameters; constructing, based on a portion of the parameters using a prompt construction unit, prompt(s) to query a user for values associated with the parameters; receiving, via the user interface, response(s) to the prompt(s); retrieving historical data associated with the statistical test; providing the parameter value(s) and the historical data to a calculation tool to generate output value(s); constructing a second prompt as an input to the generative model, by appending at least the prompt(s) and the response(s) with an instruction string comprising instructions to generate an interpretation of the output value(s) as the first content.

The invention discloses a multi-modal data processing method and system, computer equipment and a readable storage medium, which can realize deep association and complementarity mining of multi-modal information and improve the accuracy and robustness of multi-modal understanding. The method comprises the following steps: an environment sensing module adjusts an environment sensing strategy according to feedback information transmitted by a self-adaptive decision module, and acquires multi-modal data according to the environment sensing strategy; the multi-modal encoding module encodes the multi-modal data into multi-modal feature vectors of the same dimension; a cross-modal fusion module fuses the multi-modal feature vectors to obtain fusion features; the self-adaptive decision-making module selects a decision-making network matched with the task type from a predefined network library according to the task type of the current decision-making task, inputs the fusion features into the decision-making network, and generates feedback information according to the decision-making process of the decision-making network; and the meta-learning controller evaluates the system performance of the current multi-modal data processing system and adjusts system parameters according to an evaluation result.

Methods and systems for managing update events for data processing systems are disclosed. An update event may indicate that an update configuration is available for a data processing system. A management controller for the data processing system may utilize an out of band communication channel to obtain the update configuration for the data processing system without hardware components of the data processing system being powered. The update configuration may indicate a combination of hardware and / or software components for an application hosted by the data processing system. The update configuration may be assigned by an administrator and may be implemented by an update agent for the data processing system upon powering the hardware resources of the data processing system.

Methods and systems for managing data processing systems are disclosed. To manage a data processing of the data processing systems, the data processing system may be placed in a first operating state. To do so, first log in credentials may be obtained from a first user and may be used to obtain a first user persona from a server. The first user persona may be obtained via an out of band communication channel and may include a first set of configurations for the data processing system. The first set of the configurations may indicate preferences for operation of the data processing system associated with the first user. At least a portion of the first set of the configurations may be implemented by hardware resources of the data processing system and, therefore, computer-implemented services may be more likely to be provided as desired by the first user.

The invention relates to the technical field of environment monitoring, solves the problem that a monitoring system and method cannot meet the requirements for accuracy and real-time performance of animal behavior research and climate environment research in a plateau area at the same time, and particularly discloses a monitoring system and method integrating environment monitoring and animal monitoring recognition. Comprising a sensing system, a data transmission system and a data processing system, the sensing system is used for collecting environment and animal data of a monitoring site, and the data processing system is used for receiving and processing the data and analyzing the change trend and the correlation influence degree of the environment data and the animal data; the monitoring method comprises the following steps: acquiring environment and animal data through the environment monitoring network and the animal behavior sensing network; data is transmitted to the data processing system in real time through the data transmission system; the data processing system analyzes the dynamic change trend of the environment data and the animal data; and generating early warning information and triggering a protection measure execution instruction. The method can be used for monitoring the plateau environment and animals, and is high in accuracy and high in real-time performance.

Methods and systems for managing a data processing system are disclosed. The data processing system may provide computer-implemented services and may include in-band hardware resources that operate as specified by operation data of the data processing system while providing the services. However, if the operation data becomes unavailable to the data processing system, then the data processing system may be unable to provide the desired services. Therefore, to increase the likelihood of providing the desired services, the operation data may be managed using distributed backup and recovery processes. To decrease security risk associated with operation data backup and recovery, the distributed processes may be performed using out-of-band components of the data processing system, bypassing in-band hardware components that may be more vulnerable to being compromised (e.g., by a malicious party). The out-of-band management of the operation data may reduce the likelihood of interruptions in providing the desired services.

Methods and systems for managing a data processing system are disclosed. To manage the data processing system, a management controller may be included in the data processing system. The management controller may perform managerial functions for the data processing system regardless of whether in band components are compromised, depowered, and / or otherwise non-functional. In addition, to communicate with remote entities, the management controller may utilize a network module of the data processing system. The network module may direct network traffic between in band and out of band communication channels and may operate independently from hardware resources of the data processing system.

The invention discloses an intelligent multi-gas detection module data processing system and method based on NDIR, and relates to the technical field of gas detection.The method comprises the steps that a multi-wavelength NDIR sensor is used for obtaining light intensity changes of a gas sample under different wavelengths, and original spectral signals are generated; performing denoising processing on the spectral signal by adopting wavelet transform, and performing zero calibration and dynamic baseline deduction; based on the Beer-Lambert law in combination with environmental factors, establishing a relation model between gas absorption and spectral signals; updating model parameters by using a recursive least square algorithm, and continuously optimizing gas concentration prediction; separating gas signals by adopting a non-negative matrix factorization algorithm, and predicting the concentration of each gas; and the edge end operates the lightweight model in real time, and regularly uploads the model to the cloud end for global optimization and federated learning. The method can effectively improve the condition that the precision is insufficient when the model is used for a long time in the prior art.

The invention discloses a data processing system, method and device, a medium and a program product in the technical field of computers. In the application, the plurality of acceleration cards are directly connected with the plurality of memory devices through the management device, and the actual operation information of each acceleration card is collected through the management device, so that the memory space is allocated to each acceleration card as required according to the actual operation information of the acceleration cards. In other words, each memory device is not perceived by the host and is directly used as the extended memory of each acceleration card, so that the host does not need to distribute the memory for each acceleration card, thereby avoiding the condition of scrambling resources such as bandwidth easily occurring when multiple acceleration cards apply for the memory at the same time, and being not easy to cause data transmission delay. The purpose of expanding the memory for the accelerator card on the premise of not influencing the system operation performance is achieved.

Systems, methods, and computer-readable storage media for data protection. One system includes a data processing system including memory and one or more processors configured to determine one or more protection algorithms corresponding to one or more workstream elements of a workstream of one or more data systems. The processors are further configured to model one or more cybersecurity threats of the one or more data systems. The processors are further configured to map the one or more workstream elements of the workstream into the one or more cybersecurity threats based on one or more correlations between the one or more protection algorithms and the one or more cybersecurity threats. The processors are further configured to update a workstream element validation status of the one or more workstream elements based on the mapping of the one or more workstream elements.

The invention relates to the technical field of electronic digital data processing, provides a financial multi-source data processing system and method, and aims to flexibly schedule tasks, dynamically adjust the acquisition frequency, ensure timely and accurate data acquisition and save resources in the aspect of data acquisition according to financial market rules, realize multi-module collaborative operation in the aspect of data processing and improve the data processing efficiency. The data quality is effectively improved from preliminary cleaning to standardized processing, a rule engine can update rules in real time and adapt to market and supervision changes, a semantic mapping module accurately processes financial terms and improves data understanding and integration, and an intelligent strategy adjustment module optimizes a processing strategy, reasonably allocates resources and improves processing efficiency. And the real-time monitoring and feedback module is convenient for management personnel to control the system state and timely adjust the strategy, an efficient and intelligent data processing scheme is integrally provided for the financial industry, and financial decision making and business development are assisted.

Methods and systems for managing services provided by a data processing system are disclosed. A service of the services may be managed by accounting for other services and dependencies on which the service of the service relies. To account for the other services, the dependencies may need to be validated. To validate the dependencies, the other services may be checked to see if they are implemented. If the other services are not implemented, the other services may be supplemented. Otherwise, the other services may be validated and therefore the dependencies may be validated. Once the other services and the dependencies are validated, then a service of the services may be deployed.

The invention relates to the technical field of combined fleet navigation, and discloses a combined fleet intelligent navigation data processing system, which comprises a data acquisition unit used for acquiring navigation data and ship lock data of each ship of a combined fleet in real time, fusing the preprocessed navigation data and ship lock data to obtain a comprehensive data set, through dynamic data fusion and self-adaptive grid division, the spatial-temporal characteristics of a flow velocity abrupt change area during opening and closing of a ship lock are captured in real time, the limitation that a traditional algorithm depends on a static environment is broken through, a dynamic power distribution strategy is generated based on flow field characteristics and navigation data, and precise power matching is achieved in combination with a propeller efficiency priority and a self-adaptive weight algorithm. The response time is shortened, the cooperation efficiency is improved, course deviation is avoided, a multi-stage early warning and time difference judgment mechanism is constructed, the power margin is evaluated in real time, the weight, the navigational speed and the formation are adjusted according to the risk level, it is guaranteed that power distribution adjustment of the whole fleet does not lag behind water flow changes, and normal course of the fleet is guaranteed.

The invention discloses a data processing system and method, electronic equipment and a storage medium, and relates to the technical field of computers.Original input data are preprocessed into multiple sets of target input data through a data input module, and the multiple sets of target input data are input into multiple iterative calculation units to obtain data to be calculated and code identifiers; when the code identifier represents that the to-be-calculated data needs to be overturned in advance, the to-be-calculated data is overturned in advance to obtain the to-be-calculated inverted data, and a subsequent iterative calculation unit only needs to perform target calculation on the to-be-calculated inverted data to obtain a data processing result; that is, the iterative calculation unit can obtain the data processing result only by performing a small amount of data bit flipping on the to-be-calculated inverted data through the target calculation, the number of data bit flipping in the target calculation is reduced, the dynamic flipping power consumption is reduced, and compared with a power consumption reduction mode in the related technology, the efficiency is improved. High-difficulty chip rear end layout wiring is not needed, and the performance and the power consumption reduction effect of the chip can be ensured.