45 results about "Test agent" patented technology

The invention discloses an AI-based browser user behavior recording intelligent workflow method and system, and relates to the technical field of workflow management.The method comprises the steps that interaction behaviors are recorded in a browser, and normalized event data are generated; the input recording cooperative agent performs user task intention analysis and abstracts the user task intention into a structured workflow; inputting a recording test agent for verification, and adjusting the structured workflow to obtain a verified target workflow; the browser is driven to automatically execute and monitor the execution state, a self-repairing strategy is triggered for adjustment when the execution state is abnormal, and the target workflow is updated when self-repairing succeeds. Through the technical scheme of the invention, standardized modeling and precipitation of the browser event flow are realized, the workload of establishing an automatic process is reduced, the use threshold of establishing the browser automatic process is reduced, the execution success rate and stability of the target workflow are improved, and the user experience is improved. And the robustness and the long-term maintainability of the automatic process are effectively improved.

The invention is applicable to the technical field of interface testing, and provides an artificial intelligence-based interface testing optimization method, which comprises the following steps: constructing a multi-dimensional interface knowledge graph of a tested system, the multi-dimensional interface knowledge graph comprising but not limited to static structure information, business semantic information and running state feature information; based on the multi-dimensional interface knowledge graph, the driving state and the action space, deploying a test agent based on reinforcement learning; in the test agent, according to a preset multi-target reward function, executing a target-oriented exploration action, and generating a dynamic test case; according to the method, the twinborn test environment of the tested system is constructed for the test agent to perform exploratory test and generate the test case set, the value density of the test cases generated by the method is high, defects can be effectively found, the test cases are associated with interface service semantics and operation rules, and the reliability of the test cases is improved.

The invention belongs to the technical field of automobile electronic testing, and particularly relates to an intelligent OTA automatic testing method and system in a multi-dimensional environment, and the method comprises the steps: a testing management platform configures a testing scene and a testing case, schedules a testing task to a cloud server to simulate a real OTA cloud service, and cooperates with a multi-dimensional environment simulation cluster to construct a virtual testing environment; deploying a real vehicle test agent to execute a test case and collect real vehicle data, and utilizing a digital twin synchronization engine to realize bidirectional data synchronization of a simulation environment and a real vehicle environment; collecting heterogeneous data of each key node of the simulation environment and the real vehicle environment in real time, and uploading the collected heterogeneous data to the big data platform for storage; and based on heterogeneous data stored by the big data platform, intelligent analysis is performed by using an intelligent analysis and evaluation engine, and system closed-loop optimization is performed according to an analysis result.

The present invention addresses the problem of providing a cancer inspection technology in which an olfactory receptor is used. The problem is solved by a cancer test agent containing an insect olfactory receptor protein B' which demonstrates reactivity to multiple types of cancer with the same reactivity direction.

A topology-reprogrammable test environment is provided that can support the needs of CI / CD / CV in the field. The system disclosed provides a highly scalable network architecture to simplify the implementation of network slicing, TaaS and network CI / CD, and solves problems related to the complexity of cloud-native network (CNN) deployments. A Network Cell (NC), comprises or consists of a Containerized Network Function (CNF), a Containerized Digital Twin (CDT), and a Containerized Test Agent (CTA). The CDT has at least two personalities, e.g., an emulator of the CNF in the same NC or a nodal of the CNF. The choice of personality of the CDT is controlled by the CTA of the NC. A number of NCs use a 3D IP address to interconnect and form a new kind of CNN over the infrastructure of VRs.

Aspects of the subject disclosure may include, for example, identifying one or more rules in a policy rulebase, wherein the one or more rules correspond to a subscriber associated with a network, instructing a test agent to derive one or more scripts that, when executed by a client, cause the client to generate test traffic and send the test traffic to the network, after the instructing and after the test traffic is sent to the network, accessing data records that are outputted by the network based on the test traffic, based on the accessing, correlating at least one record of the data records to the test traffic, and analyzing the at least one record to validate conformance with the one or more rules. Other embodiments are disclosed.

Provided are nucleic acids encoding kinase-modulated bioluminescent indicator (KiMBI) polypeptides. In certain embodiments, a nuclei acid of the present disclosure encodes a KiMBI polypeptide comprising a first bioluminescent enzyme fragment, a phospho-binding domain, a 5 second bioluminescent enzyme fragment capable of forming an active bioluminescent enzyme with the first fragment via enzyme fragment complementation, and a kinase substrate bound by the phospho-binding domain when phosphorylated. KiMBI polypeptide may be fused to one or more fluorescent proteins, e.g., which exhibit resonance energy transfer (RET). Also provided are KiMBI polypeptides encoded by the nucleic acids of the present disclosure. Cells that express 10 a KiMBI polypeptide are also provided, as are non-human animals comprising such cells. Also provided are methods of assessing activity of a kinase of interest in a non-huma animal, and methods of assessing a test agent for the ability to inhibit a kinase of interest in a non-human animal.

A system may utilize a large language model (LLM). The system may train and test agents via an LLM by using the LLM to generate a set of scenarios and a set of training data and then training the agents using the training data and executing the agents accordingly. The system may also perform evaluations of data within a data table via LLMs and evaluations of prompt templates using a set of data from the data table. In one example, the system may receive a set of instructions for data evaluation, evaluate the set of data via the LLM, and obtain a set of output data from the LLM. In another example, the system may receive a prompt template for the LLM, execute the prompt template via the LLM, obtain a set of output data from the LLM, and evaluate the performance of the prompt template via the LLM.

The invention relates to the technical field of game testing, and provides an automatic testing method and system for game software, and the method comprises the steps: obtaining a behavior target sequence of a testing path of a testing agent in a video game; the behavior target sequence comprises a plurality of behavior targets, the behavior targets are used for indicating test tasks needing to be completed by the test agent, and the behavior targets further comprise task physical environment information corresponding to the test tasks; when the test agent is controlled to execute a behavior target in the behavior target sequence, an operation instruction is determined according to the state information of the test agent and the task physical environment information, and the operation instruction is used for guiding the test agent to complete the behavior target; and controlling the test agent to execute the operation instruction. The test efficiency of the game software can be improved.

The invention discloses an intelligent processing method for automobile data, and relates to the technical field of automatic driving. Comprising the following steps: S1, constructing a simulation model: constructing a dynamic parallel simulation system through multi-source data obtained by an automatic driving fleet; s2, determining a test case: setting at least one antagonism test agent in the dynamic parallel simulation system, and performing an interaction test through the antagonism test agent to determine an effective test case; and S3, case verification: obtaining a corresponding comprehensive score according to a test result of the effective test case, screening the effective test case according to the comprehensive score, and performing live-action verification on the screened effective test case. Therefore, simulation-live-action closed-loop iterative optimization is formed, improvement of the performance of the automatic driving system can be continuously promoted, and large-scale safety application is accelerated.

The invention discloses an intelligent advertisement putting service optimization system and a putting platform. The intelligent advertisement putting service optimization system comprises a Plan module, a Test module, an Optimization module, a Regeneration module and a Scale module, wherein the Plan module, the Test module, the Optimization module, the Regeneration module and the Scale module are connected in sequence and are subjected to loop iteration. The system adopts a multi-agent collaboration architecture, a planning agent, a test agent, an optimization agent, a regeneration agent and an expansion agent corresponding to each module are configured, and each agent shares information and makes a collaborative decision through a data flow pipeline to form a closed-loop iterative optimization mechanism. According to the system, intelligent collaborative management of the whole advertisement putting process is achieved, the problems of strategy making, effect verification, budget optimization, creativity regeneration, scale expansion and the like in advertisement putting are efficiently solved through module circulation and intelligent agent cooperation, the putting efficiency and effect are remarkably improved, and the full-link advertisement putting requirements of small and medium-sized enterprises are met.

This invention discloses a method and system for evaluating the intelligence level of an agent based on a Restricted Boltzmann Machine (RBM), relating to the field of artificial intelligence evaluation technology. First, it acquires replay data from pairwise battles between multiple tested agents in an experimental task. Then, for each tested agent, multiple evaluation indicators are calculated based on its battle data from each replay. Using these indicators as input, a trained RBM network predicts the ELO score of the tested agent. The final ELO score is then obtained by averaging the ELO scores from multiple replays. Finally, for each tested agent, its intelligence level is determined based on its final ELO score. This eliminates the need for subjective level classification standards, achieving an objective and universal intelligence level evaluation.

The invention relates to the technical field of software development, and discloses an AI agent-based system development system, which comprises a plurality of agent modules: a demand analysis agent module, which can automatically analyze user demands and convert the user demands into a structured model, introduce sentiment analysis to assist priority ranking, and customize a template to generate a demand document; the system designs an agent module, and a design scheme is generated by taking the structured model as input; the code development agent module adopts a layered architecture; the test agent module is of a modular architecture, and standard interfaces of all sub-modules interact; the deployment and operation and maintenance agent module adopts a layered architecture, and the automatic execution layer comprises a deployment and monitoring sub-module; the continuous optimization agent module analyzes user behavior data and provides support for function iteration; the technical problem that in existing system development, the development process is low in efficiency and prone to errors is solved.

The application provides a modified form of DEPTOR, DEPTOR K106 lactylation, as a biomarker in the preparation of a test agent for the preliminary evaluation or prediction of liver cancer. The application also provides a kit for quantitatively or semi-quantitatively detecting a protein, which contains an antibody capable of specifically binding to DEPTOR K106 lactylation. The application can more effectively preliminarily evaluate and predict whether a subject has a tumor by detecting the expression level of DEPTOR K106 lactylation. The application will help improve the diagnostic accuracy of liver cancer and provide an important basis for early treatment of patients. The kit of the application can be used for the diagnosis of early, medium and late liver cancer.

A system for providing an API-driven continuous test platform is disclosed. The system may include one or more processors, a test engine, one or more test agents, and a database. The system may prepare (according to a configuration file) a first test configuration comprising a first selection of the one or more test agents, execute (using the test engine) the first test configuration to produce one or more first test results, and store (using the database) the one or more first test results. Finally, the system may process (using a continuous integration and continuous delivery (CI / CD) pipeline) the first test results by performing at least one of the following CI / CD processes: updating a central code base of an enterprise production environment, rejecting at least one code snippet processed by the test engine during execution of the first test configuration, and marking the first test results as inconclusive.

Aspects of the application provide methods and compositions for identifying and evaluating putative therapeutic agents for cancer by live cell imaging. Cell samples comprising cancerous cells that have been pre-treated with a test agent are contacted with a BH3 peptide, and samples are imaged by live cell imaging over a time interval. Methods of the application can be used to determine whether a patient is likely to benefit from treatment with a particular test agent.

To provide a cancer inspection technique using an olfactory receptor.SOLUTION: A test agent for a cancer type a, comprising an insect olfactory receptor protein A having reactivity with the cancer type a and an insect olfactory receptor protein C having no reactivity with a cancer including the cancer type a.SELECTED DRAWING: None

Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls. Such tests may be used to train the machine learning model.

The utility model belongs to the test agent production technical field, concretely speaking, it is a kind of mucosa machine with positioning function for test agent production, including first conveyor, the side wall of first conveyor is equipped with baffle, the top of baffle is equipped with guide assembly, the side wall of baffle is fixed with docking assembly, second conveyor is equipped in the direction of first conveyor, the setting of guide assembly can carry out shunt guide to the test agent of conveying, avoids the test agent to be in the surface conveying of first conveyor and is stacked, by docking assembly, first conveyor and second conveyor can be stably docked, avoid the test agent to fall when transporting, by the setting of transfer component, the test agent that will enter the top of second conveyor can be stably transferred, so that test agent better falls to the inside of placing groove and is positioned, it is convenient for mucosa machine body to carry out film processing, strengthens the guide positioning effect of mucosa machine with positioning function for test agent production.

Disclosed herein is a DNAzyme sensor comprising a substrate strand and an enzyme strand comprising a catalytic loop, wherein the catalytic loop is capable of cleaving the substrate strand in the presence of K+, thereby activating a detectable signal. Also disclosed herein are methods of detecting K+ using the disclosed DNAzyme sensors. Further disclosed herein are methods of determining usefulness of test agents in modulating K+ and methods of treating and / or preventing dysregulation of K+ using the disclosed DNAzyme sensors.

The embodiment of the invention provides a software development method, system and equipment. A demand analysis agent analyzes a function specification file according to a demand analysis rule set and outputs a demand document; the software design agent analyzes the demand document according to a software design rule set and outputs a software design document; analyzing the demand document and the software design document by a code generation agent according to a code generation rule set, and outputting an application layer code; the software test agent analyzes the demand document and the application layer code according to a software test rule set to generate a code scanning result and a test case; and outputting the thinking process of the demand analysis agent, the software design agent, the code generation agent and / or the software test agent. The problem that the output result of the large reasoning model is unstable is solved by fusing the large reasoning model and the whole process of software development and analyzing the development document based on the rule set, and the software development efficiency is improved.

The invention relates to an intelligent agent testing method and device, electronic equipment, a medium and a program product, and relates to the technical field of computers. The intelligent agent testing method comprises the following steps: generating a user simulator according to figure setting information; interacting with the to-be-tested agent through the user simulator according to the function information of the to-be-tested agent; target information for interaction is generated through the user simulator according to interaction with the to-be-tested agent; and according to the target information, generating a test result of the to-be-tested agent.

The invention discloses an automatic parallel test and real-time intelligent interpretation system and method for a carrier rocket, relates to the technical field of carrier rocket testing, and is used for solving the problems of low efficiency, information island and high subjectivity of manual interpretation of a traditional test. A parallel task set is generated, a synchronous starting instruction packet is issued, and the serial time bottleneck is broken; then, the parallel test agent module converts the instruction into underlying hardware calling through a hardware abstraction layer and executes test collection, and software and hardware decoupling is achieved; unifying a data bus module multicast instruction, and adding a high-precision time service timestamp for a converged data frame to ensure that the data time of the whole system is aligned; finally, the real-time intelligent interpretation engine module inputs the data into a rule layer, a model layer and an algorithm layer for anomaly detection, a quantitative interpretation conclusion and confidence are generated through fusion decision, a test launch control closed-loop system is constructed, and the test efficiency and reliability are improved.

A method for assaying the effects of a test agent on a microtissue comprises providing an assay plate system comprising an assay plate with a row of wells and a fluid conduit providing fluid communication along the row of wells, in each well contains a microtissue, flowing a test fluid containing the test agent along the fluid conduit and across each well, and imaging each of the microtissues in the wells The microtissue is disposed within a biopolymer hydrogel such as collagen or hyaluronic acid and is assayed in-situ in the biopolymer hydrogel in the well of the plate. The test agent may be an immune cell and the microtissue may be a cancer microtissue. The method allows for cells in the test fluid to attach to the hydrogel matrix and migrate into the hydrogel to interact with the microtissues held there. Entrapping a microtissue in a hydrogel within a well also allows for flow conditions of the test fluid in the well that are more physiologically relevant.

The embodiment of the application provides a unit test code generation method based on a large language model and related equipment. In the embodiment of the application, a unit test agent calls a large language model to batch generate a plurality of test functions corresponding to unit test codes in a plurality of different test scenarios, the unit test agent calls a compiler to automatically compile the unit test codes generated by the large language model, and the unit test agent calls a build tool to automatically run the compiled unit test codes, thereby realizing automatic generation, automatic compilation and automatic running of the unit test codes, batch generation of the unit test codes covering various diversified test scenarios, improving test coverage, improving the success rate of obtaining successfully run unit test codes, improving the accuracy and usability of the unit test codes, greatly reducing the time consumption and maintenance cost of developers in the unit test scenario, and improving the development efficiency of the unit test codes.

The invention provides a test method and device for flight management system software, and the method comprises the steps: carrying out the layer-by-layer expansion, enumeration and macro definition replacement of a structural body of interface data between a core calculation function and a display control function of the flight management system software, obtaining a test excitation nodding file, and combining with an external ICD, obtaining a test excitation point C file and a test environment interface configuration file; and according to the test excitation nodding file, the test excitation point C file and the test environment interface configuration file, performing software test on core calculation function software and display control function software of the FMS software. By automatically analyzing interfaces of a core calculation function and a display control function, automatically generating a test environment configuration file and developing a test engine and test agent software, the purpose of respectively testing the core calculation function and the display control function can be achieved.

The present disclosure provides an agent capability description method, a task execution method, an apparatus and an agent, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large model, human-computer interaction, intelligent education, video generation and the like. The agent capability description method comprises: obtaining a task example for a to-be-tested agent; detecting, by a master agent, an example execution result to obtain an example detection result, the example execution result being determined based on the to-be-tested agent executing the task example, and the example detection result representing a matching degree between the example execution result and a task requirement condition for the task example; and describing, by the master agent, a task execution capability of the to-be-tested agent based on the example detection result and the task example to obtain capability description information for the to-be-tested agent.

The present disclosure relates to a method for detecting and / or quantifying expression of at least a first cell surface moiety and of a second cell surface moiety in a patient sample, and to a method for detecting and / or quantifying clustering of at least a first cell surface moiety with a second cell surface moiety in a sample, wherein the sample is exposed to a molecule having binding specificity for the at least first and second cell surface moieties. The present disclosure further relates to a method for predicting the responsiveness of a subject to such binding molecule, a method for determining the effectiveness of such binding molecule, a method for confirming the mode of action of such binding molecule, a method for treating a subject, and a method for screening one or more test agents for the ability to induce clustering of a first cell surface moiety with a second cell surface moiety.

To provide a cancer inspection technique using an olfactory receptor.SOLUTION: A test agent for a cancer type a, comprising an insect olfactory receptor protein A ' having reactivity to the cancer type a and having no reactivity to at least one type of cancer other than the cancer type a or having reverse reactivity to at least one type of cancer other than the cancer type a, and an insect olfactory receptor protein B having reactivity to a plurality of types of cancer including the cancer type a and having the same direction of the reactivity.SELECTED DRAWING: None