565 results about "User defined" patented technology

A framework for machine learning modeling of structured data that includes one or more artificial intelligence-based agents. These artificial intelligence-based agents are configured to create and execute chains of repeatable actions to perform user-driven and user-defined workflows with a given problem set and identified outcomes. Structured data that has been processed is fed by the artificial intelligence-based agents to language models to formulate actions operate as tools for analyzing a problem set that can be chained together to address a given workflow, in one or more prompts for constructing and delivering the identified outcomes. Chains of repeatable actions for saved and utilized for additional workflows having similar problem sets, and executed based on pre-identified triggers.

Technologies for configuring flexible hardware-accelerated rules in a Service Function Chaining (SFC) architecture are described. A DPU includes an acceleration hardware engine to provide a single accelerated data plane, and a processing device that generates a first virtual bridge and a second virtual bridge. The first virtual bridge is controlled by a first network service hosted on the DPU and has a first set of one or more network rules. The second virtual bridge has a second set of one or more user-defined network rules. The processing device generates a combined set of network rules based on the first set of one or more network rules and the second set of one or more user-defined network rules. The acceleration hardware engine processes network traffic data in the single accelerated data plane using the combined set of network rules.

The invention discloses a solid state disk management system and a data processing method, and relates to the technical field of solid state disk management. Flexible task scheduling and resource management are provided through a lightweight operating system module, and a computing task program defined by a user is supported to be dynamically loaded; edge computing or machine learning operators are efficiently executed in combination with a programmable hardware processing unit and a DMA channel of the computing acceleration engine module, the data preloading module is utilized to predict and preload data to DDR based on LBA access history, access delay is reduced, an NVMe protocol is expanded by means of the task unloading interface module, host task issuing and result returning are achieved, and the data processing efficiency is improved. And hardware-level memory protection is ensured through the security isolation module, so that the data calculation processing capacity of the solid state disk is remarkably improved, localized calculation tasks such as edge calculation and machine learning are supported, mass data transmission is effectively reduced, and bus and network loads are relieved.

A system and method for enabling real-time dispatch of flexibility resources to unlock grid capacity through AI-based orchestration. The invention addresses the challenge of connecting high energy demand users, such as data centers, to constrained electricity grids without requiring infrastructure upgrades. The system establishes a marketplace where flexible asset holders set temporal compensation prices and boundary conditions, enabling true market-based participation. An AI orchestration engine analyzes real-time grid conditions and modifies flexible asset behavior to create inverse consumption profiles that counterbalance new demand loads. The platform integrates hardware and software solutions for remote control and APIs for autonomous systems like electric vehicles. Aggregators and off-takers can establish long-term contracts for flexible capacity at agreed prices. The AI system ensures flexible assets meet user-defined boundary conditions while simultaneously masking high energy demand, making new loads invisible to the grid and enabling immediate connection of data centers essential for industrial deployment.

An attack path modeling and discovery system and process of the present combines comprehensive network data with machine learning to determine the greatest risk to a network environment by exposing the path of least resistance an attacker would likely take. This system and process considers both the likelihood of a threat agent to exploit a vulnerability, and the potential for loss when that threat occurs. The system utilizes two key models to accomplish this goal. First, Knowledge Graphs (KG) are leveraged to comprehensively model relationships across an environment, and second, Graph Neural Networks (GNNs) are used to predict the path of least resistance to the network's user-defined most valuable assets.

A system and method for predictive analysis, scenario simulation, and decision optimization is provided. The system includes a prediction management system executed on a distributed computing infrastructure, and a prediction engine configured to receive input data, including event parameters, user-defined constraints, real-time data feeds, and historical trends. The prediction engine generates predictive models using algorithms trained on historical event outcomes, assigns probability scores and confidence intervals to potential outcomes, and dynamically updates the models based on new input data. Actionable insights are generated and ranked according to predefined success criteria. A non-transitory computer-readable medium is used to store the predictive models, outcome probabilities, and actionable insights for subsequent analysis and reporting. This system facilitates enhanced decision-making by offering real-time insights and continuously refined predictions, thereby optimizing responses to complex events and scenarios.

Technologies for configuring multiple virtual bridges and interface mappings in a Service Function Chaining (SFC) architecture are described. A DPU can include memory to store a configuration file specifying the virtual bridges and interface mappings, and a processing device operatively coupled to the memory. The processing device, according to the configuration file, generates a first virtual bridge and a second virtual bridge. The first virtual bridge is controlled by a first network service hosted on the DPU, and the second virtual bridge is controlled by a user-defined logic. The processing device adds add one or more host interfaces to the second virtual bridge, a first service interface to the first virtual bridge to operatively couple to the first network service, and one or more virtual ports between the first virtual bridge and the second virtual bridge.

The invention discloses a behavior tree code automatic generation method based on a large language model. The method comprises the following steps: 1, acquiring a behavior tree model of an XML file format defined by a user and prompt information input by the user; 2, analyzing the obtained XML file, and providing a generation rule of a behavior tree code; step 3; the analyzed XML file and prompt information input by a user are combined with a behavior tree code generation rule, and a task specific prompt is generated; 4, combining the task specific prompt with the general code generation prompt to generate a complete prompt; 5, a proper LLM is selected, complete prompt information is input, and the LLM generates codes according to prompts; 6, running the generated code in a safe environment to ensure the safety of the code and the correctness of an output format; and 7, displaying an execution result on a visual interface, auditing the result by a user, and modifying a generated code. The method has the characteristics of high universality, high flexibility and high interpretability.

A computer system for generating a scenario to be run in a simulation environment for testing the behaviour of an autonomous vehicle, the computer system comprising: a rendering component configured to: generate display data for causing a display to render a graphical user interface comprising an image of a driving environment and one or more agents within the driving environment; a parameter generator configured to generate in memory a user-defined parameter set responsive to user input defining the parameter set; and an expression manager configured to store in memory a user-defined expression set, responsive to user input defining the expression set, wherein each expression of the expression set is a user-defined function of one or more parameters of the parameter set; and a scenario generator configured to record the scenario in a scenario database; wherein the graphical user interface is configured to provide multiple agent fields for controlling the behaviour of the one or more agents when the scenario is run in a simulation environment, wherein each agent field is modifiable to associate therewith either a parameter of the user-defined parameter set or an expression of the user-defined expression set; and wherein the recorded scenario comprises the driving environment, the one or more agents, the user-defined parameter set, the user-defined expression set, and any user-defined associations between (i) the multiple agent fields and the user-defined parameter set and (ii) the multiple agent fields and the user-defined expression set, wherein each parameter associated with an agent field is controllable to directly modify an agent behaviour, and each parameter that is included in expression associated with an agent field is controllable to indirectly modify an agent behaviour.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Methods, systems, and storage media for generating contextually relevant text from image descriptions and user intent are disclosed. Exemplary implementations may: receive an image and a user-defined intent for text output; analyze the received image to generate a contextual description of the image; generate a query based on the contextual description of the image and the user-defined intent; and generate the text output based on the query.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

A computer-implemented method for analyzing and quantifying the quality of a first user input in relation to a second user input by comparison to a third user input in a computer system, wherein the second user input defines at least one problem statement, the third user input defines at least one solution statement to the at least one problem statement, the method comprising: - providing a graphical user interface for receiving said first, second and third user inputs; - generating at least one prompt structure based on the first, second and third user inputs, such as a prompt structure for each of the first, second and third user inputs, wherein the at least one prompt structure comprises instructions to quantify the quality of a first user input, wherein the quantified quality at least in part reflects the degree to which the first user input corresponds to the at least one solution statement as defined by the third user, such as in its completeness, and wherein the quantified quality further at least in part reflects its correctness in relation to the at least one problem statement as defined by the second user input; - processing the at least one prompt structure using at least one large language model; and - outputting the quantified quality of the first user input from the at least one large language model, such that it is accessible to a user within the graphical user interface.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

A power equipment machine with operator selectable autonomous mode and manual mode is provided. By way of example, the power equipment device can provide user-assisted semi-autonomous steering along user-defined paths of a geographic area. Manual steering controls and autonomous guidance controls can be positioned on one or more movable armrests to enhance comfort and minimize operator fatigue. The manual steering controls can include a jog wheel and encoder mechanism located on a first armrest, eliminating conventional mechanical shaft and wheel steering devices and dual lap bar steering devices. Guidance and computer settings can be accessed through a touchscreen display mounted in front of an operator position on the power equipment device.

An MLOps extension method and apparatus in a multi-cloud native environment, and a medium, relating to the technical field of multi-cloud heterogeneity. The method comprises: receiving a user-defined infrastructure template, configuration parameters, and access credentials of different cloud platforms, and collecting cloud computing resources from a plurality of clouds; putting model code and a data processing script into a version control system, and uploading data to a data storage service; pre-allocating computing resources and storage resources, and installing and verifying all dependencies in a pre-deployment environment; creating isolated sandbox environments on the cloud platforms to run comprehensive simulation tests; packaging models and applications, and deploying same in production environments on the cloud platforms; configuring a monitoring tool to monitor the performance of the models and the applications in real time, and on the basis of monitoring data, optimizing model parameters and application configurations. The present invention can reduce incompatibility and failures in a multi-cloud environment, and improve the reliability and efficiency of model services and continuous application deployment.

The invention provides a universal method for realizing multi-condition and search based on LDAP, and belongs to the technical field of data retrieval of directory service and identity management. A user defines query conditions including attributes, values and logical relationships through a configuration file, a visual interface or an interface; the system parses the query condition model into a query condition model supporting nested combination of AND, OR and NOT by using a parser, and performs legality check and error prompt; and then a generator dynamically generates a filtering statement conforming to the LDAP grammar specification according to the model, and query is executed through an LDAP client. In order to improve the performance, common condition caching and high-frequency statement pre-compiling optimization are introduced, and an asynchronous query mode is supported. And the query result is returned in the form of structured data, and is matched with a display interface to support screening, sorting and exporting, so that the flexibility and maintainability of multi-condition query are improved.

Systems and methods for compressing and querying data for real-time analytics. The system can receive log data and generate an intermediate representation by parsing a log template and variables from the log data into a columnar format. The method includes generating a compressed intermediate representation associated with an index type and storing the compressed intermediate representation in the columnar format based on the index type. The method includes receiving a search query and analyzing the search query to identify a user defined function. The method includes parsing the search query to convert the search query into one or more predicates that satisfy the search query. The method includes filtering the compressed log data based on the one or more predicates and providing a query result.

A programmable semiconductor system includes a programmable integrated circuit (“PIC”) and storage capable of facilitating a multi-boot with backup default configuration (“MBC”) process. The PIC, in one embodiment, includes a dual-mode port (“DMP”), configurable logic blocks (“LBs”), routing connections, and a configuration memory for providing configuration data to facilitate user-defined logic functions. The DMP, in one aspect, is operable to handle the configuration data during a configuration mode. Alternatively, the DMP is operable to handle the user data during a logic operation mode. In one aspect, the user configuration data contains the address of the second memory containing DCD.

The invention relates to a data quality inspection method capable of dynamically expanding, which can dynamically add, modify and delete a data quality inspection rule, dynamically store database connection information and the quality inspection rule in a database, and obtain the database connection information and the quality inspection rule from the database in real time when the quality inspection is executed; the execution process of quality inspection is dynamically scheduled according to a frequency defined by a user, and comprises the following steps: realizing a quality inspection rule management system, performing the quality inspection execution process: performing timed task scheduling, acquiring a quality inspection rule, connecting a database, executing data query, executing quality inspection logic and storing a quality inspection result, and performing the quality inspection result processing process: performing anomaly detection, generating a quality inspection report and sending the report. The problem that a traditional data quality inspection system is insufficient in rule expansibility, complex rule support, database type adaptability and exception handling efficiency is solved, and quality monitoring and verification of large-scale and multi-source heterogeneous data are achieved by dynamically registering database links and quality inspection rules and combining complex expression analysis.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Systems and methods described herein can involve, responsive to receiving a user request associated with an API type, retrieving a template from a template database; providing the template to a user to obtain a user-defined requirement; using the user-defined requirement to obtain from an API code creation database a historic requirement that is associated with the user-defined requirement and is associated with a source code; in response to the historic requirement being identical to the user-defined requirement, communicating an API endpoint to the user; in response to the historic requirement not being identical to the user-defined requirement, providing the user-defined requirement and the source code to a generative AI model to request an API source code; and in response to receiving the API source code and an endpoint name, communicating the endpoint name to the user.

Methods and systems provided herein allow user prioritization of applications, services, and devices in order to enhance user quality of experience (QoE). A wireless device user exercises one or more customization options allowing manipulation of a default prioritization scheme. A customized prioritization scheme for the wireless device user is configured based on the manipulation.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Embodiments provide a generative AI creation framework to a customized generative AI stack using a foundational model (such as GPT) based on user-defined prompts, a natural language description of the task to be accomplished, and domain adaptation. In one embodiment, organization-specific knowledge may be injected into either the prompt and / or the foundational model. In this way, the customized generative AI stack thus supports a full spectrum of domain-adaptive prompts to enable a full spectrum of personalized and adaptive AI chat applications.

A peripheral nerve stimulator can be used to stimulate a peripheral nerve to treat essential tremor, Parkinson tremor, and other forms of tremor. In one aspect, the stimulation algorithm is designed to optimize the therapy. The algorithm may be a learning algorithm to tailor the stimulation over time to adjust in real-time to a user's tremor user-defined needs. Stimulation can be delivered using open and / or closed loop systems.

The invention relates to the technical field of hardware design, in particular to a differential wiring verification method for a PCB and electronic equipment, and the method comprises the steps: determining a differential wiring topology model in response to an obtained PCB design file; acquiring an electrical rule defined by a user, and performing geometric verification based on the differential routing topology model and the electrical rule to position geometric violation points; performing integrity analysis on a preset key structure in the differential routing topology model to determine a signal distortion risk point; and generating a visual view according to the geometric violation points and the signal distortion risk points. The method has the advantages that hard geometric violation and hidden electrical risks of differential wiring in PCB design are found, and verification accuracy and design reliability are remarkably improved.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.