Abstract: The disclosure is to constitute, while reducing a cost for collecting training data used in machine learning that makes a control module acquire an ability to control a robot device, the control module operatable in an actual environment by the machine learning. A learning device according to one aspect of the present invention executes machine learning of an extractor by using a first learning data set constituted by a combination of simulation data and first environmental information and a second learning data set constituted by a combination of actual data and second environmental information. Further, a learning device according to one aspect of the present invention executes machine learning of a controller by using a third learning data set constituted by a combination of third environmental information, state information, and a control command.

Abstract: A method for testing a basic parameterization of a component in an automation system is provided. The method includes: starting a test run of the component in the automation system with the basic parameterization, measuring of a measured value data record during trial operation, access to a machine learning module comprising a pre-trained neural network, wherein the pre-trained neural network is pre-trained to calculate a target parameterization for the respective component for a measured value data set, wherein the basic parameterization is compared with the calculated target parameterization and in the event of deviation a result message for adapting the basic parameterization is provided, and receipt of the provided result message for adaptation of the basic parameterization.

Abstract: The following description is directed to a logic repository service. In one example, a method of a logic repository service can include receiving a first request to generate configuration data for configurable hardware using a specification for application logic of the configurable hardware. The method can include generating the configuration data for the configurable hardware. The configuration data can include data for implementing the application logic. The method can include encrypting the configuration data to generate encrypted configuration data. The method can include signing the encrypted configuration data using a private key. The method can include transmitting the signed encrypted configuration data in response to the request.

Abstract: Discussed herein are devices, systems, and methods for dynamic IPB product updates or generation. A method can include storing, by a memory device, information used to generate IPB products, receiving, by a server coupled to the memory device, a request for an IPB product of the IPB products, receiving, by the server and from the memory device, information that satisfies conditions of a query, generating the requested IPB product based on the received information, and providing the requested IPB product to a client device.

Abstract: A method for iteratively autotuning a high-performance computing system that depends on a set of parameters. Performance is first evaluated two or more times with the current values of the parameters. Afterward at least two evaluations, the median performance is evaluated. The median is then tested against a rule based on a filtering threshold. If the median does not the rule, the current values of the parameters are discarded, and the method is restarted with at least one other value generated by an optimization module; otherwise, a resampling method is performed based on the median and on a confidence interval that decreases with the number of steps of the optimization method.

Abstract: Test scenarios can be generated for decision models on a computer according to some examples. In one example, a system can determine groupings of user input tests for a decision model based on outputs produced by inputting the user input tests into the decision model. Each grouping can include a portion of the user input tests. For each grouping, the system can determine an impact score for each input for each user input test. The system can determine sub-groupings within each grouping based on the impact scores for the inputs. The system can then identify a particular user input test within each sub-grouping. The system can then generate a test scenario file for the decision model based on the particular user input test for use in testing the decision model.

Abstract: A system for developing a simulation of a process. In one aspect, a system creates a first model within the simulation. The first model represents a part of the process and comprises a first port to which other models may be connected. The system also creates a second model within the simulation. The second model represents another part of the process and comprises a second port to which other models may be connected. The system then connects the first port and the second port together. Upon connection, the system allocates a memory location as a connection variable that represents a type of information transfer between the first and second ports. A first port variable, which represents a value transferrable through the first port, is set to reference the value at the allocated memory location. Similarly, a second port variable, which represents a value transferrable through the second port, is also set to reference the value at the allocated memory location.

Abstract: Examples of device-driven management are described. A management console can include a set of workflow objects to use in a workflow creation user interface. Workflow objects can be positioned in the workflow creation user interface area based on user manipulation. A device state criteria overlay can be painted on a connector workflow object to indicates that a branch of executable instructions corresponding to the connector workflow object is performed where a client device corresponds to the specified device state criteria.

Abstract: A method, a computer program product, and a system for pre-pooling virtual machine components prior to application startup. The method includes reading a virtual machine pool manifest by a virtual machine pool manager. The virtual machine pool manifest includes an initial number of virtual machines to launch, how many virtual machines to allocate resources to, and an amount of resources to allocate based on a virtual machine resource definition. The method also includes launching a plurality of base virtual machines into a virtual machine pool and based on the initial number provided by the virtual machine pool manifest. The base virtual machines lack initial application assignments. The method further includes allocating initial resources to a portion of the base virtual machines based on a virtual machine resource definition in the virtual machine pool manifest. The method includes loading core program packages into the portion of the base virtual machines.

Abstract: One implementation of the present disclosure is a building system of a building including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a selection including a context and a twin function and generate an operation to monitor a building graph based on the context, the operation identifying whether one or more new events are added to the building graph, the one or more new events affecting a processing result. The instructions cause the one or more processors to cause the twin function to execute responsive to identifying the one or more new events added to the building graph that affect the processing result, execute the twin function based on the one or more new events and the context to generate the processing result.

Abstract: Systems and methods for training prediction models are illustrated. One embodiment includes a method for training a prediction model in a network. The method includes steps for receiving context data for a portable device in a system, wherein the context data includes localization data that describes a location of the portable device, identifying a predicted stationary device from several stationary devices that is predicted based on the context data using a prediction model, receiving input identifying a target stationary device from the several stationary devices, generating training data based on the predicted stationary device and the received input, updating the prediction model based on the generated training data.

Abstract: Methods and systems for generating a recovery scheduling solution in response to a scheduling disruption are disclosed.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: A caching system including a first sub-cache, and a second sub-cache, coupled in parallel with the first cache, for storing cache data evicted from the first sub-cache and write-memory commands that are not cached in the first sub-cache, and wherein the second sub-cache includes: color tag bits configured to store an indication that a corresponding cache line of the second sub-cache storing write miss data is associated with a color tag, and an eviction controller configured to evict cache lines of the second sub-cache storing write-miss data based on the color tag associated with the cache line.

Abstract: Systems and methods for automatically commissioning and operating a heating, ventilation, or air conditioning (HVAC) system for a building site are provided. An exemplary method includes constructing a model using physical equipment of the HVAC system and relationships between the physical equipment. The model indicates connections between the physical equipment and one or more resources produced or consumed by the physical equipment. The method includes generating a mapping between points of the physical equipment at the building site and corresponding variables of the model, using the model to generate values of one or more control variables of the model, and operating the physical equipment by providing the values of the control variables to corresponding points of the physical equipment based on the mapping.

Abstract: A method retrains a cognitive interaction information system. One or more processors monitors an interactive communication between a user and the cognitive interactive information system. The processor(s) identifies an incorrect answer returned by the cognitive interactive information system to a question asked by the user; reevaluates the question utilizing alternative intent classifications to form alternative answers; and presents the alternative answers to the user. The processor(s) receive a selection from the alternative answers from the user; updates processing rules to generate updated processing rules that are based on the selection; and retrains the cognitive interaction information system based on the updated processing rules.

Abstract: One variation of a method for emulating a known attack on a computer network includes: generating a set of data packets by recombining packet fragments within a packet capture file representing packet fragments transmitted between machines during a prior malicious attack on a second network; defining transmission triggers for transmission of the set of data packets between pairs of agents connected to a target network based on timestamps of packet fragments in the packet capture file; initiating transmission of the set of data packets between the pairs agents according to the set of transmission triggers to simulate the malicious attack on the target network; and, in response to absence of a security event related to the simulation in a log of a security technology deployed on the target network, generating a prompt to reconfigure the security technology to respond to the malicious attack.

Abstract: A processor may receive at least one test application corresponding to an application profile. The processor may simulate the at least one test application in a non-production environment for a plurality of infrastructure configurations to generate a plurality of test performance results. The processor may evaluate the plurality of test performance results to identify an optimal infrastructure configuration from among the plurality of infrastructure configurations for the application profile. The processor may apply the optimal infrastructure configuration to an application corresponding to the application profile that is deployed in a production environment.

Abstract: A system for read-access of a regulated system, the system comprising a specialized data store, at least one memory, and a flexible reader. The specialized data store able to receive at least a portion of a set of procedures that define a respective set of systematic data and executable operations. The at least one memory including at least one set of data related to the set of procedures.

Abstract: Methods and systems for managing security in a cloud computing environment are provided. Exemplary methods include: gathering data about workloads and applications in the cloud computing environment; updating a graph database using the data, the graph database representing the workloads of the cloud computing environment as nodes and relationships between the workloads as edges; receiving a security template, the security template logically describing targets in the cloud computing environment to be protected and how to protect the targets; creating a security policy using the security template and information in the graph database; and deploying the security policy in the cloud computing environment.

Abstract: A thread management circuit of a processing system stores a thread identifier table and a thread completion table. The thread management circuit receives, from a processor core, a request for execution of a portion of an application by an accelerator circuit. The thread management circuit allocates a thread identifier available in the thread identifier table to the processor core for the execution of the portion by the accelerator circuit. The thread management circuit communicates a response and an acceleration request, both including the allocated thread identifier, to the processor core and the accelerator circuit, respectively. The thread management circuit communicates a thread joining response to the processor core based on a received thread joining request and an indication by the thread completion table that the execution of the portion by the accelerator circuit is complete. The executed portion is integrated with the application based on the thread joining response.

Abstract: A digital environment includes multiple computing nodes and a scheduling system that assigns workloads to computing nodes. The scheduling system includes an equivalence-class-based resource usage prediction system that receives a workload request and predicts an equivalence class for that workload request based on resource usage over time by the workload request or metadata associated with the workload request. The scheduling system also includes a workload assignment system that assigns the workload request to one or more of the computing nodes based on the predicted equivalence class. The number of equivalence classes is small relative to the total number of workloads that are scheduled (as an example, 10 to 15 equivalence classes for a total number of workloads in the tens or hundreds of thousands).

Abstract: A rehosted flight operation system is disclosed. The system comprises one or more controllers configured to execute program instructions. The program instructions include a rehosted flight operation module configured to generate one or more emulated flight operation subsystems, and a host flight operation module configured to generate flight operation data and flight operation commands.

Abstract: Disclosed in some examples, are methods, systems, programmable atomic units, and machine-readable mediums that provide an exception as a response to the calling processor. That is, the programmable atomic unit will send a response to the calling processor. The calling processor will recognize that the exception has been raised and will handle the exception. Because the calling processor knows which process triggered the exception, the calling processor (e.g., the Operating System) can take appropriate action, such as terminating the calling process. The calling processor may be a same processor as that executing the programmable atomic transaction, or a different processor (e.g., on a different chiplet).

Abstract: Systems and methods for generating and utilizing an interactive causal loop diagram using a causal loop designer are provided. In one or more examples, a computer-implemented method for creating a causal loop diagram comprising visually emphasized elements can comprise displaying a first element and a second element, wherein the first element and the second element comprise visually emphasizable elements. In response to receiving a user command to connect the first element to the second element, the method can comprise displaying a connection between the first element and the second element, wherein the connection comprises a visually emphasizable element. In one or more examples, the method comprises displaying a causal loop diagram comprising the first element, the second element, and the connection. In response to a user activating a visual emphasis tool, the method can comprise visually emphasizing one or more of the visually emphasizable elements.

Abstract: A user requests installation of a software package on a server. The server identifies an artifact for the software package installed on a first layer of an overlay file system. Based on dependency information for the artifact, the server identifies one or more additional artifacts that the artifact depends on, installed on additional layers of the overlay file system. Instead of duplicating the software package and its dependencies in storage for the user, the server updates a layer strategy for the user. A layer strategy indicates a set of layers to be used by an overlay file system in generating a logical file system. The updated layer strategy for the user includes both the layer for the artifact of the requested software package and the layers for the additional artifacts that the software package depends on.

Abstract: A method for testing network interaction defines a set having a plurality of network nodes, wherein the network nodes within the set are in signal communication with each other and wherein at least one of the network nodes is emulated by a processor. A set of transactions between network nodes is defined by repeated steps of defining a request message for message transfer between at least a first node and a second node; and defining, for each request message, at least one corresponding response message for transfer between the second node and the first node. The method executes the defined set of transactions and tracks and records performance data from the set of network nodes participating in the set of transactions, and displays the recorded performance data.

Abstract: A method is provided for obfuscating program code to prevent unauthorized users from accessing video. The method includes receiving an original program code that provides functionality. The original program code is transformed into obfuscated program code defining a randomized branch encoded version of the original program code. The obfuscated program code is then stored, and a processor receiving input video data flow uses the obfuscated program code to generate an output data flow.

Abstract: A computer-implemented method for synthesizing a digital circuit is disclosed. The method includes receiving a multi-threaded software program with at least one C++ thread; generating a register-transfer level (RTL) hardware description of the at least one C++ thread; and automatically inferring generation of parallel hardware RTL in response to receiving the at least one C++ thread.

Abstract: Systems, methods, and computer readable storage mediums for emulating a local interface to a remotely managed storage system, including: receiving a request for remote access a storage system, wherein access is provided using a user interface (‘UI’); identifying, for a user profile, a version of the UI that is utilized when locally accessing the storage system; and presenting, a remote UI for the storage system, wherein a version of the remote UI matches the version of the UI that is utilized when the user locally accesses the storage system, wherein the remote UI provides read-only access to the storage system.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate information exchange using publish-subscribe with blockchain. An example apparatus includes a security manager to integrate a security service with an instruction execution flow in a distributed device environment. The security manager is to include a processor. The processor is to be configured to implement at least an executable hierarchical state machine to provide credential management and access management in conjunction with instruction execution according to an execution plan. The executable hierarchical state machine is to generate a security context for the execution plan to implement a guard condition governing a transition from a first state to a second state in accordance with the execution plan.

Abstract: A system includes a memory, a processor in communication with the memory, and a recorder. The recorder is configured to obtain a proxy for each respective real object. Each respective real object is related to a respective service. The recorder is also configured to record a sequence of each invocation on each respective proxy and generate an intermediate representation of an application that is configured to invoke the sequence of each invocation on each real object associated with each respective proxy.

Abstract: A computing device selects new test configurations for testing software. Software under test is executed with first test configurations to generate a test result for each test configuration. Each test configuration includes a value for each test parameter where each test parameter is an input to the software under test. A predictive model is trained using each test configuration of the first test configurations in association with the test result generated for each test configuration based on an objective function value. The predictive model is executed with second test configurations to predict the test result for each test configuration of the second test configurations. Test configurations are selected from the second test configurations based on the predicted test results to define third test configurations. The software under test is executed with the defined third test configurations to generate the test result for each test configuration of the third test configurations.

Abstract: A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the sele

Abstract: The multi-agent simulation system includes a plurality of back-end servers provided for each of a plurality of service systems and a plurality of agent simulators provided for each of the plurality of agents. Each of the plurality of service systems provides a service used in the target world. The plurality of agent simulators are programmed to simulate a state of each of the plurality of agents while causing the plurality of agents to interact with each other by exchange of first messages. The plurality of back-end servers and the plurality of agent simulators are programmed to simultaneously simulate a plurality of services by exchanging second messages different from the first messages.

Abstract: Technologies are provided for the generating of optimal policies for bidding in auctions having unknown dynamics. In some embodiments, a computing system can configure many multi-armed bandit (MAB) models defining candidate directed contents for a sequence of pages. A particular MAB model of the many MAB models defines candidate directed contents for a particular page in the sequence of pages, where each arm in the particular MAB model corresponds to a candidate impression on the particular page. The computing system can then determine a solution to an optimization problem with respect to an objective function based on an expected long-term reward for a defined impression on the first page, a defined impression on the second page, and a defined impression on the third page. The solution results in respective directed content for presentation on the first, second, and third pages.

Abstract: A method and a system for collecting and processing of life cycle information about a switch cabinet (1) of an industrial plant, with a documentation server (2) for linking data sheet information (A) of the built-in modules (9a-9c) installed in the switch cabinet (1) on the basis of the planned construction (4) with function information (B) about their use in the context of the switch cabinet equipment, in order to store this information in a central archive database (3) under an individual switch cabinet identification (8) in data records, wherein test and acceptance information (C) of the switch cabinet (1) is added to the data records of the central archive database (3) via the documentation server (2).

Abstract: Disclosed are a method and apparatus for debugging a device. A particular embodiment of the method comprises: acquiring target running state information of a target device; constructing a running configuration template and a log collection template according to the target running state information; sending the running configuration template and the log collection template to an edge computing device, and receiving target log information sent by the edge computing device, so as to determine actual running state information; when the actual running state information is different from the target running state information, computing state difference information; and finally, modifying the running configuration template by means of the state difference information value information in order to obtain an updated running configuration template, and sending the updated running configuration template to the edge computing device.

Abstract: Techniques and solutions are provided for a source quality check service configured to analyze source text and identify issues in the source text. The source quality check service may identify the issues by performing a selected subset of checks with a centralized source quality check engine, and may be called from within one or more of an Integrated Development Environment (IDE), a build process, and/or a translation process to perform the selected subset of checks. The source quality check service may be further configured to output a report of the identified one or more issues.

Abstract: Example implementations involve systems and methods which can involve storing interface (I/F) communication activity records of a plurality of simulation engines during execution of a co-simulation, and for a subsequent execution of the co-simulation, replacing one or more of the plurality of simulation engines with a simulation engine repeater configured to reproduce I/F communication activity from the stored I/F communication activity records corresponding to the replaced one or more of the plurality of simulation engines during the subsequent execution of the co-simulation and to log a real time consumed for execution of the reproduced I/F communication activity in the subsequent execution and a simulation time consumed for execution of the reproduced I/F communication activity for each simulation step, the real time determined based on a real time difference between a start of each simulation step and completion of synchronization with a co-simulator bus at an end of each simulation step.

Abstract: Systems, devices, methods, and computer-readable media for improved location determination of an orbiting device. A method can include receiving, at a transceiver of a device, measurement data from a monitor device, the measurement data representative of a physical state of a mobile object, filtering, using a first of a plurality of first filters of the device, the measurement data based on a character parameter of a state transition matrix representative of the physical state resulting in filtered measurement data, filtering, using a Kalman filter, the filtered measurement data resulting in further filtered measurement data, and providing, by the transceiver, the further filtered measurement data.

Abstract: A method is provided. The method includes obtaining an enhanced state graph. The enhanced state graph represents a set of objects within an environment and a set of positions of the set of objects. The enhanced state graph includes a set of object nodes, a set of property nodes and a set of goal nodes to represent a set of objectives. The method also includes generating a set of instructions for a set of mechanical systems based on the enhanced state graph. The set of mechanical systems is configured to interact with one or more of the set of objects within the environment. The method further includes operating the set of mechanical systems to achieve the set of objectives based on the set of instructions.

Abstract: A test case selection system and method uses a test selection model to select test cases from a library of test cases to be used for quality assurance (QA) testing of a software application to maximize the chances of finding bugs from executing the selected test cases. The test case selection model may be a machine learning based regression model trained using outcomes of previous QA testing. In some case, the test case selection system may provide periodic and/or continuous refinement of the test case selection model from one QA testing run to the next. The model refinements may include updating weights associated with the test case selection model in the form of a regression model. Additionally, the test case selection system may provide performance analytics between a test case selection model-based selection of test cases and random selection of test cases.

Abstract: Test cases written to test a software application can be dynamically distributed among a set of software application instances such that different sets of test cases can execute simultaneously in parallel, thereby speeding up testing relative to executing the test cases sequentially. To avoid database conflicts that may occur when different test cases are executed in parallel, each software application instance can be associated with a different database instance. Accordingly, a first test case executing in association with a first database instance can avoid interfering with a second test case executing in association with a second database instance.

Abstract: The disclosure herein describes predicting potential impact of issues reported in incident ticket data on infrastructure element. A ticket manager component includes an impact model utilizing machine learning to analyze real-time event and metric data with incident-related data to generate predicted impact data. The predicted impact data identifies potentially impacted infrastructure elements, such as, potentially impacted users, predicted infrastructure components impacted by the issue and/or an updated time-period associated with the issue. The ticket manager component creates labeled incident tickets by updating user-generated incident tickets with additional data generated by the impact model, including predicted impact data and/or additional details associated with the issue. The labeled incident tickets are provided back to the model as training data to further refine predictions generated by the model.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes accessing a plurality of target tasks for a computing system, the computing system comprising a plurality of resources, wherein the plurality of resources comprises a first server and a second server, accessing a plurality of configurations of the computing system, wherein each of the plurality of configurations identifies one or more resources of the plurality of resources to perform the respective target task of the plurality of target tasks, and performing, for each of the plurality of configurations, a simulation to determine a plurality of performance metrics, wherein each of the plurality of performance metrics predicts performance of at least one of the plurality of resources executing the plurality of target tasks on the computing system.

Abstract: This application provides a method for managing a resource in a computer system and a terminal device. The method includes: obtaining data, where the data includes application sequence feature data related to a current foreground application, and the data further includes at least one of the following real-time data: a system time of the computer system, current status data of the computer system, and current location data of the computer system; selecting, from a plurality of machine learning models based on at least one of the real-time data, a target machine learning model that matches the real-time data; inputting the obtained data into the target machine learning model to rank importance of a plurality of applications installed in the computer system; and performing resource management based on a result of the importance ranking.

Abstract: The subject technology is related to methods and apparatus for training a set of regression machine learning models with a training set to produce a set of predictive values for a pending manufacturing request, the training set including data extracted from a set of manufacturing transactions submitted by a set of entities of a supply chain. A multi-objective optimization model is implemented to (1) receive an input including the set of predictive values and a set of features of a physical object, and (2) generate an output with a set of attributes associated with a manufacture of the physical object in response to receiving the input, the output complying with a multi-objective condition satisfied in the multi-objective optimization model.

Abstract: A storage device includes: a storage controller to receive data from a host device, and to store the data in storage memory; and a reconfigurable integrated circuit communicably connected to the storage controller, and to accelerate logic operations executed on the data stored in the storage memory, the reconfigurable integrated circuit including: a first logic block to execute a static logic operation from among the logic operations; a second logic block to execute one or more dynamic logic operations from among the logic operations; and a plurality of memory buffers configured to store inputs and outputs of the first and second logic blocks.

Abstract: A method includes: accessing an attack record defining actions representing a previous known attack on a second computer network; initializing an attack graph; for each action, defining a set of behaviors—analogous to the action and executable by an asset on a target network to emulate an effect of the action on the second computer network—and storing the set of behaviors in a node in the attack graph; connecting nodes in the attack graph according to an order of actions in the known attack; scheduling the asset to selectively execute analogous behaviors stored in the set of nodes in the attack graph; accessing alerts generated by a set of security tools deployed on the target network; and characterizing vulnerability of the target network based on alerts, in the set of alerts, indicating detection and prevention of behaviors executed by the asset according to the attack graph.