Abstract: Various aspects of methods, systems, and use cases include techniques for training or using a model to control a robot. A method may include identifying a set of action primitives applicable to a set of robots, receiving information corresponding to a task (e.g., a collaborative task), and determining at least one action primitive based on the received information. The method may include training a model to control operations of at least one robot of the set of robots using the received information and the at least one action primitive.

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: Technologies for performing energy efficient software distribution include a mesh node. The mesh node is to obtain fingerprint data of a plurality of other mesh nodes in a network. The mesh node is also to determine corresponding characteristics of the mesh nodes from the obtained fingerprint data, including an energy status of each of the mesh nodes. The mesh node is also to perform an analysis of a software update, determine, as a function of the analysis of the software update, one or more target mesh nodes of the plurality of mesh nodes for the software update, and determine a path through the mesh nodes to the one or more target mesh nodes as a function of the fingerprint data. Other embodiments are also described and claimed.

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: A controller for an automated machine may include including: one or more processors configured to: determine that a group affiliation of the automated machine switched from a first group of automated machines to a second group of automated machines, the first group of automated machines being assigned to one or more first tasks, the second group of automated machines being assigned to one or more second tasks; generate a message for one or more network devices of the second group of automated machines in accordance with a communication protocol, the message including information about a task performing model of the automated machine, the task performing model being based on a result of performing at least one task of the one or more first tasks by the automated machine.

Abstract: Various systems and methods for customizing training data for an artificial intelligence (AI) or machine-learning (ML) model are disclosed. A set of data is identified from a plurality of sets of data used to train the AI or ML model. The set of data is identified based on a set of metadata associated with the set of data indicating an association between the set of data and a jurisdiction of a digital services tax (DST). Based on the identifying, the plurality of sets of data is modified by removing or reducing reliance upon the set of data. The AI or ML model is retrained based on the modified plurality of sets of data. The retrained AI or ML model is provided for deployment in an individual autonomous agent.

Abstract: Various aspects of methods, systems, and use cases include coordinate operations based on event occurrence. A method may include processing a captured image to determine whether an event has occurred. The method may include detecting that the event has occurred by comparing an attribute of the image with a selected criterion, and sending, in response to detecting the event, an activation function to a network interface component (NIC). The NIC may be at a remote device, such as in an edge appliance, in a remote image capture device, or the like. The activation function may activate a bit-stream corresponding to the event, such as to activate an accelerator.

Abstract: A device including a processor configured to detect an environment of an automated machine, wherein the environment comprises one or more further automated machines; determine an action taken by the one or more further automated machines; determine an action expected of the one or more further automated machines; compares the taken action with the expected action; determine an accuracy score associated with the one or more further automated machines based on the comparison.

Abstract: According to various aspects, a controller for an automated machine may include: one or more processors configured to: obtain a message from a further automated machine in accordance with a communication protocol, the message including a first result of a first sensing process that the further automated machine performs; and determine an assessment of the automated machine based on the first result and based on a second result of a second sensing process that the automated machine performs.

Abstract: Various aspects are related to an apparatus of a traffic infrastructure system including one or more processors configured to: obtain estimation data, the estimation data representing one or more estimations generated by a roadside unit of one or more traffic related characteristics, obtain estimation reference data, the estimation reference data representing one or more reference estimations associated with the one or more estimations represented by the estimation data, generate roadside unit validation data based on validating the one or more estimations represented by the estimation data based on the estimation reference data, the roadside unit validation data representing one or more results of the validation of the one or more estimations.

Abstract: A drone system for orchestration in heterogeneous drone swarms is configured to perform operations comprising receiving, at a lead drone of a drone swarm, from a candidate drone, a request to join the drone swarm; transmitting a swarm directive to the candidate drone; evaluating the candidate drone to determine whether the candidate drone is compatible with the swarm directive; and adjusting the swarm directive to accommodate the candidate drone when the candidate drone is compatible with the swarm directive, to add the candidate drone to the drone swarm.

Abstract: In some embodiments, the disclosed subject matter involves a system and method for dynamic object identification and environmental changes for use with autonomous vehicles. For efficient detection of changes for autonomous, or partially autonomous vehicles, embodiments may use a technique based on background removal and image subtraction which use motion detection rather than full object identification for all objects in an image. Road side units proximate to a road segment or virtual road side units in the cloud, other vehicles or mobile device (e.g., drones) are used to retrieve and store background images for a road segment, to be used by the autonomous vehicle. Other embodiments are described and claimed.

Abstract: Embodiments of apparatus and methods for providing recommendations based on environmental data and associated contextual information are described. In embodiments, an apparatus may include a data collector to receive environmental data and an analysis module to identify a behavioral model of the first user based at least in part on the environmental data associated contextual information of the first user. The apparatus may further include a recommendation module to provide a recommendation to the first user based at least in part on the behavioral model of the first user and/or environmental data for a second user. Other embodiments may be described and/or claimed.

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: Embodiments herein relate to recognition of an appliance state based on sensor data and determination of a response based at least in part on the appliance state. In various embodiments, an apparatus to recognize an appliance state may include a sensor data module to identify sensor data in one or more signals relating to data from one or more sensors associated with an appliance, an appliance state recognition module to determine an appliance state of the appliance based at least in part on the sensor data, a response module to determine a response based at least in part on the appliance state, and a transmission module to send the response to at least one of an appliance controller for the appliance or a presentation device. Other embodiments may be described and/or claimed.

Abstract: Embodiments of mechanisms for dynamic media content type streaming management for mobile devices are generally described herein. In some embodiments, the mobile device may receive selection input pertaining to generating output from a media file containing at least two of audio data, video data, and closed-captioning data, the selection input selecting at least one of audio, video, and closed-captioning to be output during play of the media content. In some embodiments, the mobile device may generate an audio output as a signal in response to the selection input including audio. In some embodiments, the mobile device may generate a video output as a signal in response to the selection input including video. In some embodiments, the mobile device may generate a closed-captioning output as a signal in response to selection input including closed-captioning.

Abstract: Methods and systems that allow a user to see the people or groups who have access to files that are maintained by a plurality of cloud content sharing services. In particular, the user may see what specific party has access to each particular file or directory, regardless of multiple cloud content sharing services involved. Moreover, a user interface and exposed application program interface allows the user to manipulate the permissions, e.g., granting access, to another person or group, to a file or directory. The user interface may also allow the user to terminate access to the file or directory for a person or group. The user's action to change a permission may be effected independently of the particular cloud content sharing service.

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: A system and method for real-time alteration of media content based on stress monitoring is disclosed. A computer system present a single media content item in two distinct content streams to a first and second user. Using sensor generated data the computer system measures at least one user response indicator for the first and second user and estimates a stress level for the first and second users. The computer system determines whether the estimated stress level for the first user exceeds a first predetermined stress threshold. In accordance with a determination that the estimated stress level for the first user exceeds a first predetermined stress threshold the computer system alters the first stream of the presented media content item to modify the particular portion of the media content item associated with the estimated stress level for the first user.