158 results about "Software tool" patented technology

Methods and systems for generating digital threads that connect models and software tools for an interconnected digital engineering and certification ecosystem are provided. In one embodiment, a process for generating a software-code-defined digital thread includes receiving a first model representation of a first engineering model, a second model representation of a second engineering model, and an intent input. Determining, using a machine learning (ML) model, one or more model endpoints in the first and the second model representations. Generating, using a script-generating ML model, a platform orchestration script that accomplishes the intent input by connecting the first model representation and the second model representation, using the one or more model endpoints. Finally, storing the platform orchestration script as the software-code-defined digital thread. The digital threading of digital engineering models, with and without AI assistance, leads to exponential increases in efficiency of designing, testing, certifying, manufacturing, and operating physical products, allowing physical products to be made at digital speeds.

Techniques for performing medical tasks using a medical artificial intelligence (MAI) system including receiving multi-modal input; processing at least a portion of the multi-modal input using a trained LLM to obtain LLM output indicating that zero, one, or multiple tasks are to be additionally performed; when the LLM output indicates that zero tasks are to be additionally performed, outputting at least some of the LLM output as a response to the request; and when the LLM output indicates that one or multiple tasks are to be additionally performed, processing at least some of the multi-modal input, using at least one of a plurality of task-specific software tools and the LLM output, to obtain at least one task-specific output; and outputting a response generated using the at least some of the LLM output and the at least one task-specific output as a response to the request.

Methods, systems, and non-transitory computer readable storage media are disclosed for generating action plans utilizing a large language model with a best-first search model. The disclosed system determines a request to utilize a large language model to generate an action plan via one or more software tools. The disclosed system generates the action plan by traversing a decision tree comprising an action space involving the one or more software tools by iteratively: selecting, utilizing a best-first search model, an action from a set of possible actions in the action space of the decision tree; and expanding, utilizing the best-first search model, the action space of the decision tree to include an additional set of possible actions. The disclosed system also executes the action plan via one or more interactions with the one or more software tools according to the action.

The invention discloses a power supply integrity simulation optimization method and device, equipment and a medium, and relates to the technical field of computer simulation, and the method comprises the steps: importing a to-be-simulated PCB design file into a simulation software tool; setting simulation parameters and constraint conditions in the simulation software tool, and operating the simulation software tool to perform power supply integrity simulation analysis and obtain a current simulation result; if the result is that the simulation test is not passed, inputting the current simulation result into a pre-trained power supply simulation dialogue large model to obtain a current optimization suggestion output by the model; the large power supply simulation dialogue model is obtained based on training of a training data set, and the training data set comprises historical simulation results and historical optimization adjustment measures; and adjusting the PCB design file based on the current optimization suggestion, importing the adjusted PCB design file into a simulation software tool for simulation analysis, and adding a current simulation result and a corresponding current optimization adjustment measure into a training data set after the simulation test passes.

A method for automating roadmap software content creation is provided. The method may include gathering data, by at least one processor, from one or more data sources; filtering, by the at least one processor, the data based on a predetermined criteria to identify one or more requests to update a software application being unsupported by an external cloud environment; and creating content automatically for a roadmap software tool, based on the one or more requests, by using a content generating workflow software tool.

A container mirror image generation system based on an agency-free service grid framework comprises a multi-dimensional rule configuration module, a full-link gray level isolation module, a micro-service strategy injection module, a byte enhancement module and a link unvarnished transmission implementation module. The advantages of a software toolkit (core tools and libraries required for developing, compiling, debugging and running application programs) and a service grid are combined, and non-invasive treatment logic injection, flexible expansibility and efficient performance optimization are provided. The service management in the micro-service architecture is simplified, the observability and safety of the system are improved, and the method has important significance for the modern micro-service environment.

The invention provides a beauty teaching interaction system based on virtual reality, and the system comprises a VR / AR scene engine module which is used for scene modeling and prop modeling, and is used for completing the production of scene assets; the motion capture module is used for establishing hardware equipment and software tools, carrying out motion capture and positioning of students, designing a teaching management background, and carrying out remote interaction and teaching between teachers and the students; the background building module is used for presetting a plurality of scene libraries and carrying out guided learning of the students; the interaction and output module is used for configuring a virtual creation tool and obtaining and exporting a final work; and the exhibition hall display module is used for building a virtual art exhibition hall and carrying out virtual display and work scoring. According to the invention, various beauty teaching situations are constructed through VR / AR and other technologies, so that students can experience artistic works in a virtual scene, carry out diversified artistic creation and accept guidance, and teachers can carry out real-time remote interaction and tutoring, break physical distance limitation and realize immersive artistic learning.

An autonomous inspection system for detecting and avoiding threats during operation of a robotic system comprising a robotic device is provided. The robotic device performs a series of robotic operations each including a path and a trajectory. The autonomous inspection system includes a memory device for storing data and a processor in communication with the memory device and for processing the data stored by the memory device. The processor is configured to execute at least one of an autonomous sensing of unexpected obstacles (ASUO) software tool, a model-based collision avoidance (MBCA) software tool, a worksite surveyor (WS) software tool, and a vision-guided motion (VGM) software tool, to detect threats during the series of robotic operations.

Disclosed herein are systems, apparatuses, methods, and non-transitory computer readable media related to a display construct coupled to a structure (e.g., a vision window such as a tintable window). The structure can be a supportive structure such as a fixture. The display construct is configured to facilitate media display and is at least partially transparent. An interactive installation software tool and process aligns a digital configuration of the display construct and / or touch screen functionality of the display construct, with its physical configuration in a matrix of display constructs.

Methods and systems are provided for adaptively configuring time delays between scans of a scan sequence performed using an imaging system, to maintain a temperature of components of an X-ray tube of the imaging system within a threshold temperature. A software tool is provided that allows a user to import, modify, and / or create scan sequence protocols (e.g., such as image quality (IQ) protocols) using a dedicated graphical user interface (GUI). The software tool parses the scan sequence protocols, using a thermal physics model of the X-ray tube to calculate a plurality of adaptive delays to be inserted between each scan of the scan sequence, such that all the components of the tube stay within predefined thermal limits for robust IQ or within a thermal range typical of a clinical site's thermal operating range. Each adaptive delay may be of a different length of time.

A cloud-centric platform is used for generating virtual three-dimensional (3D) content, that allows users to collaborate online and that can be connected to different software tools (applications). Using the platform, virtual environments (e.g., scenes, worlds, universes) can be created, accessed, and interacted with simultaneously by multiple collaborative content creators using varying content creation or development applications.

The invention discloses a vehicle simulation test method, device and system and a computer program product, and the method comprises the steps: converting source vehicle data selected by a user into target vehicle data in a cloud server; the client receives the target vehicle data and calls an automobile bus software tool chain to play back the target vehicle data; loading the replayed target data by the client through an automobile bus software tool chain, and performing test verification by adopting a preset test mode; and the client transmits the tested and verified data to the cloud server, and the cloud server compares the tested and verified data with the source vehicle data selected by the user and generates a test report. According to the invention, the efficiency and convenience of vehicle testing are remarkably improved, and a user can directly acquire rich and diversified vehicle data through the cloud server without tedious data acquisition and preparation work. The data cover different working conditions, is suitable for test verification of each node module of the vehicle, and ensures the comprehensiveness and accuracy of the test.

A system and method for designing and optimizing a hardware accelerator of a neural network is provided. In a pre-design phase, rules are extracted from compilation features that describe a transformational relationship between a neural network operator, a coarse-grained operator, and a fine-grained data stream. A fast mapper and a data flow mapper are generated for converting the neural network model into coarse-grained operator descriptions. In the coarse-grained design stage, a plurality of preliminary hardware accelerator designs are generated using an architecture optimizer. The coarseness operator descriptions are simulated using a coarseness simulator to obtain performance metrics for each preliminary accelerator design. In the fine-grained design stage, a data stream mapper and a fine-grained simulator are adopted to complete preliminary hardware accelerator design. A hardware accelerator is generated from the finally determined hardware accelerator design and a corresponding software tool chain is created, including a compiler and a software development kit for programming, debugging and deploying the hardware accelerator design.

A system and method is provided for designing and optimizing hardware accelerators for neural networks. During a pre-design phase, rules are extracted from compilation patterns that describe conversion between neural network operators, coarse-grained operators, and fine-grained dataflow. A fast mapper for converting neural network models to coarse-grained operator descriptions and a dataflow mapper are generated. A coarse-grained design phase employs an architecture optimizer to generate plural provisional hardware accelerator designs The coarse-grained operator descriptions are simulated using a coarse-grained simulator to obtain performance metrics of each provisional accelerator design. A fine-grained design phase employs a dataflow mapper and fine-grained simulator to finalize provisional hardware accelerator designs. A hardware accelerator is generated from a finalized hardware accelerator design and a corresponding software toolchain is created including a compiler and software development kit (SDK) for programming, debugging, and deploying the hardware accelerator design.

A system for automating software usage includes an agent configured to automate. The agent is trained on one or more training data sets. The one or more training datasets include one or more of a first training dataset including documents containing text interleaved with images, a second training dataset including text embedded in images, a third training dataset including recorded videos of software usage, a fourth training dataset including portable document format (PDF) documents, a fifth training dataset including recorded videos of software tool usage trajectories, a sixth training dataset including images of open-domain web pages, a seventh training dataset including images of specific-domain web pages, and / or an eighth training dataset including images of agentic trajectories of the agent performing interface automation task workflows.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for remotely modifying cloud-based client applications. The method can include: receiving a first request from a first client device of a user to initiate an interactive session with a cloud-based client application; reserving, in response to the first request, an application engine for executing the cloud-based client application remotely from the first client device; receiving a second request from the first client device to modify the cloud-based client application executing in the application engine using one or more software tools, wherein the one or more software tools are configured to execute remotely from the first client device; modifying the cloud-based client application in the application engine using the one or more software tools; and providing media data associated with the modified cloud-based client application to the first user via a display application on the first client device.

The invention discloses a link training state machine log management method and device, equipment and a storage medium, and relates to the technical field of computers. According to the method, the log capturing modes are set in the solid state disk and comprise the analyzer log obtaining mode and the software tool log obtaining mode, and if the solid state disk supports the analyzer log obtaining mode, a link training state machine does not need to be adopted to occupy a large number of storage and computing resources to achieve log capturing; when the log capturing cannot be carried out by adopting an analyzer to obtain the log mode of the solid state disk, switching to a software tool to obtain the log mode to realize state machine log capturing, analyzing the captured state machine log, and uploading the analyzed state machine log entry information to a host side; logs of all states of the link training state machine can be comprehensively obtained, and occupation of processor resources in the solid state disk is reduced as much as possible.

An application or software tool is used to test a device model with a physical device. The tool runs a test on the physical device via the network connection using the input of the test data. The test data includes the inputs and corresponding output values of the device model. The tool compares an output value of the physical device generated by the test with an output value of the device model to generate a result of the test. The test results are displayed on a display of the computing device.

Systems and methods are provided for performing customizable machine prediction using an extensible software tool. A specification including features of a trained machine learning model can be received and an interface for the trained machine learning model can be generated. The trained machine learning model can be loaded using the interface, the loaded machine learning model including a binary file configured to receive data as input and generate prediction data as output. Predictions can be generated using observed data that is stored according to a multidimensional data model, wherein a portion of the observed data is input to the loaded machine learning model to generate first data predictions, and a portion of the observed data is used by a generic forecast model to generate second data predictions. The first and second data predictions can be displayed in a user interface configured to display intersections of the multidimensional data model.

A disclosed method may include (i) receiving, by a cellular network health monitoring software tool, a natural language query from an agent of a mobile operator operating a fifth or later generation cellular network regarding operational status of a network function on the fifth or later generation cellular network and (ii) vectorizing, by the cellular network health monitoring software tool, the natural language query through vector embedding such that the query is standardized.

The invention relates to the application of artificial intelligence and advanced statistical methods in a single software tool to monitor and analyze quality issues throughout the life cycle of a product, the whole life cycle being:-zero kilometer; -the effective service life within the warranty period ("on-site warranty period"); -an effective service life not within the warranty period ("outside warranty period"). In addition, the invention further provides an innovative method for monitoring products beyond the warranty period based on the network capture technology and artificial intelligence.

Apparatus and associated methods relate to a cascading safety network configured to address each safety device in a multi-drop protocol. In an illustrative example, a cascading safety network (CSN) may include a server device connected a serially connected sequence of client safety devices. The CSN, for example, may include a communication line having a multi-drop layer and a enumeration layer connecting to each of the safety devices in the CSN. For example, in operation, each of the at least one client safety device is directly addressable by the server device through a client address uniquely assigned by the server device. When the server device detects a change in the client node sequence, the server device is triggered to perform safe state operations to automatically configure the cascaded multi-drop safety network. Various embodiments may advantageously allow automatic configuration of the CSN without physical switches and / or external software tools.

A smart wearable device for hands-free data capture facilitates documentation of real-time observations and creation of new data objects within a software application based on the observations. Image data depicting one or more physical objects observed by a user of the smart wearable device, voice data indicating a user request related to the physical objects depicted in the image data, and contextual information related to the user and the physical objects depicted in the image data, are used to generate a prompt for input to a generative AI model that is to respond to the user request. Based on the prompt, the generative AI model outputs an application-specific command that is to be carried out by a given software tool of the software application, such as a command to create a new data object of a given type within the software application.

Embodiments herein describe circuitry and techniques to implement shunt current control of an on-chip voltage regulator of a memory storage system using hardware components and computer software tools. Disclosed embodiments provide an on-chip voltage regulator with enhanced performance, reducing power requirements, and minimizing noise and voltage fluctuations of the regulator output, based on a cache activity signal produced by a cache controller.

A system and method for extracting full text from source files of any size in such a manner that all text can be rapidly and accurately searched via search engine while maintaining satisfactory system performance. A software tool that integrates with file shares or an enterprise content management system with the ability to merge and serialize the results of the extracted text via surrogate index files. The software tool is configured to handle text from large files in order to extract, store and access the file such that all of the text is searchable, regardless of the size of the original document in a reasonable amount of time. The Analytics Engine will omit this field during search and handle this field separately from other fields.

A method of utilizing gamification in computer-based time management, a system for performing the method, and a computer program product for performing the method, are configured to perform operations including: allocating, by a gamification time management software tool run by a computing device, a number of time units to a user for a given time period for a project; tracking, by the gamification time management software tool, how the user utilizes ones of the time units towards the project; and awarding, by the gamification time management software tool, reward units to the user based on the user utilizing the ones of the time units toward the project.

Methods and systems for generating digital threads that connect models and software tools for an interconnected digital engineering and certification ecosystem are provided. In one embodiment, a process for generating a software-code-defined digital thread includes receiving a first model representation of a first engineering model, a second model representation of a second engineering model, and an intent input. Determining, using a machine learning (ML) model, one or more model endpoints in the first and the second model representations. Generating, using a script-generating ML model, a platform orchestration script that accomplishes the intent input by connecting the first model representation and the second model representation, using the one or more model endpoints. Finally, storing the platform orchestration script as the software-code-defined digital thread. The digital threading of digital engineering models, with and without AI assistance, leads to exponential increases in efficiency of designing, testing, certifying, manufacturing, and operating physical products, allowing physical products to be made at digital speeds.

An embodiment of the present application provides a method for processing health advice information, a research platform, a first terminal, and a system. The method includes: receiving a first instruction sent by the first terminal, where the first instruction includes configuration request information for health advice information corresponding to a health item; generating a software development kit for a suggestion library of health advice information corresponding to the health item according to the configuration request information; sending a data stream of the software development kit for the suggestion library to the first terminal; where the data stream of the software development kit for the suggestion library is used to display a label of the software development kit for the suggestion library on an interactive application interface of the first terminal. The embodiment of the present application solves the problems of a long development cycle of health applications, a cumbersome process of docking professional medical structures, and limited resources.

Aspects of the present disclosure provide techniques for dynamic request routing in a computing application. Embodiments include receiving a request via a user interface and determining, based on the request and associated contextual information, not to override use of a routing machine learning model for routing the request. Embodiments include providing the request to the routing machine learning model along with a prompt instructing the routing machine learning model to output an identifier of a software tool for handling the request and an input for the software tool. Embodiments include executing the software tool based on the identifier of the software tool and the input for the software tool. Embodiments include determining a response to the request based on the executing of the software tool and providing the response via the user interface.

A system and method for providing access to third-party software tools as a service. A service access manager can communicate with one or more third parties to manage licenses associated with third-party software tools. A machine learning model can be trained using logs generated by the system and causes of detected errors to automatically determine the cause of errors occurring in the future. Vendor logs generated by software instances instantiated by third-party systems can be collected and used to improve error attribution.