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: Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

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: 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 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, 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: Embodiments include apparatuses, methods, and systems to provide an automated loading device to a computer assisted or autonomous driving (CA/AD) vehicle. A loading service control device is to initiate a loading service to load one or more items into a storage space of a CA/AD vehicle, using an automated loading device. A CA/AD vehicle is to move to a loading area at an appointed time. A mechanical loading unit of an automated loading device is to place one or more items into a storage space of a CA/AD vehicle. A user device is to receive an input from a user, where the input includes information to generate a request to a loading service control device to load one or more items into a storage space of a CA/AD vehicle using an automated loading device. Other embodiments may also be described and claimed.

Abstract: Methods and apparatus to train interdependent autonomous machines are disclosed. An example method includes performing an action of a first sub-task of a collaborative task with a first collaborative robot in a robotic cell while a second collaborative robot operates in the robotic cell according to a first recorded action of the second collaborative robot, the first recorded action of the second collaborative robot recorded while a second robot controller associated with the second collaborative robot is trained to control the second collaborative robot to perform a second sub-task of the collaborative task, and training a first robot controller associated with the first collaborative robot based at least on a sensing of an interaction of the first collaborative robot with the second collaborative robot while the action of the first sub-task is performed by the first collaborative robot and the second collaborative robot operates according to the first recorded action.

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: 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: A sensor aggregator is disclosed that may instantiate virtual sensors providing virtual sensor data. Virtual sensor data may be based at least in part on data shared by transitory sensors that come into an environment associated with the aggregator. An aggregator may have local sensors, e.g., non-transitory sensors associated therewith or disposed therein, or mobile sensors operating in conjunction with or for the aggregator, that may be used to provide sensor data to the aggregator that may also be provided as sensor output from the aggregator. An aggregator may combine different sensor inputs to derive virtual sensors based on received sensor data. In an emergency, an aggregator may assist with exit strategies based conditions sensed in various locations to help route people away from problems. Multiple aggregators may share data and trust mechanisms employed to determine if received sensor data may be trusted/used by an aggregator.

Abstract: Methods, systems, and storage media are described for adjusting a bitrate for a data stream according to user consumption of the data stream. In embodiments, a computing device may determine a virtual resolution based on an absolute resolution of a display device associated with the computing device and a relative display size of the display device. The relative display size may be based on a user position and an absolute display size of the display device. The computing device may request data stream segments of a data stream encoded at a bitrate based on the virtual resolution, and provide the data stream segment for display on the display device. The virtual resolution may also be based on user attributes and/or device attributes. Other embodiments may be described and/or claimed.

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.

Abstract: Computer-readable storage media, apparatuses, and methods associated with context dependent reactions derived from human responses are disclosed herein. An apparatus may, in some embodiments, include a communication module and a reaction agent. The reaction agent may be configured to transmit, via the communication module, a request to a remote data source. The request may include context data indicative of an operational context of the apparatus. The reaction agent may receive, in response to the request, via the communication module, reaction data for the apparatus to react to the operational context. In embodiments, the reaction data may be derived from previous observations of human response to a context similar to the operational context indicated by the context data of the request. Other embodiments may be described and/or claimed herein.

Abstract: Various embodiments are generally directed to cooperation among networked devices to obtain and use a multiple-frame screenshot. In one embodiment, an apparatus comprises a processor circuit executing a sequence causing the processor circuit to receive a signal conveying a context data; retrieve an aspect of a current context of the apparatus; compare the aspect to the context data; determine whether a context defined as appropriate exists to engage in interactions with one or more other computing devices through a network based on the comparison, the interactions comprising providing a network service to the one or more other computing devices; and engage in the interactions with one or more computing devices through the network when the appropriate context to engage in the interactions exists. Other embodiments are described and claimed herein.

Abstract: Technologies for adaptive audio communications include a telecommunications device configured to collect session data of a communication session that includes an audio stream between a user of the telecommunications device and at least one other user of a remote telecommunications device. The telecommunications device is further configured to determine a session context of the communication session based on the collected session data, determine whether the session data includes an anomaly, and adjust, in response to a determination that the anomaly was detected, at least one of a portion of the audio stream of the communication session and a setting of the telecommunications device based on the anomaly. Other embodiments are described and claimed.

Abstract: Apparatuses, methods and storage medium associated with provision and receipt of virtual sensor service, are disclosed. In embodiments, an apparatus may comprise a virtual sensor server configured to provide virtual sensor service to one or more mobile client devices to virtualize one or more sensors of each of the one or more mobile client devices. Virtualization of the one or more sensors of each of the one or more mobile client devices may comprise provision of sensor data to each of the one or more mobile client devices, or reporting of sensor data to one or more recipients external to the one or more mobile client devices on behalf of respective one or ones of the one or more mobile client devices. The provision or the reporting supersedes the corresponding sensor on the respective one or more of the mobile client devices. Other embodiments may be described and/or claimed.

Abstract: A system for transmitting notifications based on image data analysis may comprise: an image registration module to receive, from an unmanned aerial vehicle, current image data of a geographic location; a change detection module to: compare the current image data with previous image data of the geographic location to identify a change in the geographic location; and analyze the change to determine a category of the change in the geographic location; and an action module to: determine at least one party to notify about the change based on the category; and transmit a notification to the at least one party via an unmanned aerial vehicle.

Abstract: Technologies for display calibration include a mobile computing device to pair the mobile computing device with another computing device communicatively coupled to a plurality of displays. The mobile computing device captures, by a camera of the mobile computing device, a setup image of the plurality of displays. Additionally, the mobile computing device determines a physical relationship among the displays captured in the setup image, a context of the mobile computing device, and a configuration for each display of the plurality of displays based on the determined physical relationship among the displays captured in the setup image and the determined context of the mobile computing device.