Abstract: Various examples relate to apparatuses, devices, methods and computer programs for wrapping a monolithic application. In one aspect, such an apparatus is to observe a behavior of the monolithic application, and to provide a wrapper for wrapping the monolithic application, the wrapper comprising an interface that exposes one or more capabilities of the monolithic application to a microservice managing platform, with the interface being based on the observed behavior.

Abstract: A first computing system includes a data store with a sensitive dataset. The first computing system uses a feature extraction tool to perform a statistical analysis of the dataset to generate feature description data to describe a set of features within the dataset. A second computing system is coupled to the first computing system and does not have access to the dataset. The second computing system uses a data synthesizer to receive the feature description data and generate a synthetic dataset that models the dataset and includes the set of features. The second computing system trains a machine learning model with the synthetic data set and provides the trained machine learning model to the first computing system for use with data from the data store as an input.

Abstract: An apparatus including a memory and a processor configured to: identify an item located within the environment based on sensor data, wherein the sensor data represents one or more sensor detections of the environment; determine a metric representative of a likelihood of the item becoming lost the within the environment based on information about the item; and select, based on the metric, at least one monitoring method to monitor the item within the environment from a plurality of monitoring methods.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to identify causes of defects in industrial environments. An example apparatus includes interface circuitry to access data associated with an object in an environment and programmable circuitry to utilize machine-readable instructions. For example, the programmable circuitry is to identify a cause of a defect of the object based on a timeline of the object in the environment, the timeline based on the data.

Abstract: There is disclosed a system, including apparatus, methods and computer programs, for running native software applications (apps) and HTML5 web-based apps on a computing device, particularly a mobile computing device, in a multitasking mode of operation. In one embodiment, touch screen displays having one or more browsers are adapted to run one or more HTML5 apps, and receive input from hand gestures. One or more software modules execute on the operating system and are responsive to a dragging gesture applied to an HTML5 app displayed in a full screen mode, to subdivide the screen display and display the HTML5 app in one of the subdivided areas and display icons used to launch a second HTML5 app in a different one of the subdivided areas. The second HTML5 app is run concurrently with the first HTML5 app in order to provide multi-tasking between the first and second apps.

Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Examples relate to a concept for software application container hardware resource allocation, and in particular to sidecar apparatuses, sidecar devices, methods for a software application container sidecars, a resource management controller apparatus, a resource management controller device, and corresponding computer programs and computer systems. A sidecar apparatus comprises interface circuitry, machine-readable instructions and processing circuitry to execute the machine-readable instructions to obtain information on hardware resources desired by a software application container from the software application container, and to provide a request for changing the hardware resources allocated to the software application container to another entity capable of influencing an allocation of hardware resources to the software application container.

Abstract: Examples relate to a computer system, a telemetry hub apparatus, a telemetry hub device, a telemetry hub method, a microservice apparatus, a microservice device, a microservice method and to corresponding computer programs. The telemetry apparatus is configured to obtain telemetry information from a plurality of microservices, and to provide access to the telemetry information for the plurality of microservices according to an access scheme.

Abstract: Various systems and methods for a collaborative phone reputation system are described herein. A system for implementing a collaborative phone reputation system includes a compute device comprising: a call handling module to detect, at the compute device, an incoming call for a user of the compute device; a scoring module to determine a local probabilistic score that the incoming call is desirable for the user; and an execution module to perform an action at the compute device based on the local probabilistic score.

Abstract: Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Abstract: System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure.

Abstract: A technique allows a smart meter to receive a mask. The smart meter may receive the mask from a utility company or an escrow service. The smart meter may apply the mask to original metered data on a continuous schedule, on a periodic schedule, or on a determined schedule, or on a randomized schedule to conceal the original metered data. The smart meter may apply different masks at different times. The smart meter transmits the concealed metered data as augmented metered data remotely to an electric utility via a communication network.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to add common sense to a human machine interface. Disclosed examples include a human machine interface system that having an actuator to cause artificial intelligence to execute in a virtual execution environment to generate a virtual response to a user input. The system also includes a virtual consequence evaluator to evaluate a virtual consequence that follows from the virtual response, the virtual consequence generated by executing a model of human interactions, and an output device controller to cause an output device to perform a non-virtual response to the user input when the virtual consequence evaluator evaluates the virtual consequence as positive.

Abstract: Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Abstract: Techniques are disclosed herein for reconfiguring reprogrammable hardware in an autonomous vehicle system. According to an embodiment, an autonomous driving system includes sensors and a configurable circuit having physical logic units. The autonomous driving system aggregates data observed from each of the sensors. The autonomous driving system detects a trigger indicative of a defect in the configurable circuit. The defect is identified as a function of the aggregated data. The autonomous driving system performs, in response to the trigger, a reconfiguration action on the configurable circuit to repair the defect.

Abstract: A system for generating a robustness score for hardware components, nodes, and clusters of nodes in a computing infrastructure is provided. The system includes a memory and at least one processing device coupled to the memory. The processing device is to obtain first telemetry data associated with a selected portion of a computing infrastructure, and the selected portion includes a first node and a first hardware component. The processing device is further to obtain first metadata associated with the selected portion, input one or more telemetry inputs corresponding to the first telemetry data into a machine learning model, input one or more metadata inputs corresponding to the first metadata into the machine learning model, and generate, from the machine learning model, a first robustness score for the first hardware component representing a health state of the first hardware component.

Abstract: A workload orchestrator in a disaggregated computing system manages Infrastructure Processing Units (IPUs) in a bidirectional way to provide redundancy and optimal resource configurations. Light-weight machine learning capabilities are used by the IPUs and the workload orchestrator to profile workloads, specify a redundancy level for each workload phase and predict a configuration that can provide optimal performance and security for the disaggregated computing system.

Abstract: Various approaches for the integration and use of edge computing operations in satellite communication environments are discussed herein. For example, connectivity and computing approaches are discussed with reference to: identifying satellite coverage and compute operations available in low earth orbit (LEO) satellites, establishing connection streams via LEO satellite networks, identifying and implementing geofences for LEO satellites, coordinating and planning data transfers across ephemeral satellite connected devices, service orchestration via LEO satellites based on data cost, handover of compute and data operations in LEO satellite networks, and managing packet processing, among other aspects.

Abstract: Various systems and methods are provided for implementing a software defined industrial system. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device, configured to: identify available software modules adapted to perform functional operations in a control system environment; identify operational characteristics that identify characteristics of execution of the available software modules that are available to implement a control system application; select a software module for execution based on the operational configuration and the operational characteristics identified in the manifest; and cause the execution of the selected software module in the control system environment based on an application specification for the control system application.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to track a provenance of goods. An example apparatus includes an unsigned block generator to generate a first unsigned block to store first processing data associated with the product by a first entity, a block signature engine to sign the first unsigned block with a first private key to generate a blockchain having a first signed block, the unsigned block generator to generate a second unsigned block in response to a second entity generating second processing data associated with the product by the second entity, the block signature engine to expand the blockchain by signing the second unsigned block with a second private key to generate a second signed block within the blockchain, and a blockchain validator to verify the product provenance by validating the first processing data and the second processing data using respective public keys associated with the first entity and the second entity.