Abstract: Methods, systems and computer program products are provided for predicting runtime variation in big data analytics. Runtime probability distributions may be predicted for proposed computing jobs. A predictor may classify proposed computing jobs based on multiple runtime probability distributions that represent multiple clusters of runtime probability distributions for multiple executed recurring computing job groups. Proposed computing jobs may be classified as delta-normalized runtime probability distributions and/or a ratio-normalized runtime probability distributions. Sources of runtime variation may be identified with a quantitative contribution to predicted runtime variation. A runtime probability distribution editor may indicate modifications to sources of runtime variation in a proposed computing job and/or predict reductions in predicted runtime variation provided by modifications to a proposed computing job.

Abstract: The disclosure includes a system and method for provisioning wireless application services in sparsely connected wireless environments. The system includes a processor and a memory storing instructions that, when executed, cause the system to: estimate journey requirements; generate a current connectivity map based on driving-related data; generate a current connectivity map based on driving-related data; estimate services for a current journey; and generate a prioritized list of services and at least one expiration time for one of the services.

Abstract: The disclosure includes a speech-enabled device and method to share speech dialog capabilities of the speech-enabled device with a dumb device. The speech-enabled device includes a processor and a memory storing instructions that, when executed by the processor, cause the speech-enabled device to: receive speech dialog data of the dumb device that indicates a function of the dumb device; receive speech input; determine the function of the dumb device to be invoked based on the speech input by using the speech dialog data; generate a command effective to invoke the function of the dumb device based on the speech dialog data; and send the command to the dumb device to invoke the function of the dumb device.

Abstract: The disclosure includes a system, method and tangible memory for providing a driver familiarity adapted explanation to a driver of a vehicle. The system includes a sensor set configured to measure sensor data describing a task and the driver. The system also includes an onboard vehicle computer including a tangible memory, a processor, a task tracker and a familiarity application. The task tracker causes the processor to determine a vehicle operation to be proactively performed by the task tracker to autocomplete the task. The familiarity application causes the processor to execute steps including estimating how familiar the driver is with the vehicle operation based on the sensor data describing the driver of the vehicle, retrieving a template explanation associated with the vehicle operation, and adapting the template explanation to generate a driver familiarity adapted explanation describing the autocomplete of the vehicle operation.

Abstract: The disclosure includes a system and method for determining a degree of automaticity for a mobile system operation. The system includes a processor and a memory storing instructions that, when executed, cause the system to: receive sensor data from one or more sensors communicatively coupled to the processor, determine a current state of a mobile system based on the sensor data, determine that the current state of the mobile system is a candidate to be changed to a target state based on a comparison of the current state to the target state, and determine a degree of automaticity for an operation to change the current state of the mobile system to the target state.

Abstract: The disclosure includes a speech-enabled device and method to share speech dialog capabilities of the speech-enabled device with a dumb device. The speech-enabled device includes a processor and a memory storing instructions that, when executed by the processor, cause the speech-enabled device to: receive speech dialog data of the dumb device that indicates a function of the dumb device; receive speech input; determine the function of the dumb device to be invoked based on the speech input by using the speech dialog data; generate a command effective to invoke the function of the dumb device based on the speech dialog data; and send the command to the dumb device to invoke the function of the dumb device.

Abstract: The disclosure includes a system and method for provisioning wireless application services in sparsely connected wireless environments. The system includes a processor and a memory storing instructions that, when executed, cause the system to: estimate journey requirements; generate a current connectivity map based on driving-related data; generate a current connectivity map based on driving-related data; e; estimate services for a current journey; and generate a prioritized list of services and at least one expiration time for one of the services.

Abstract: The disclosure describes novel technology for inferring scenes from images. In one example, the technology includes a system that can determine partition regions from one or more factors that are independent of the image data, for an image depicting a scene; receive image data including pixels forming the image; classify pixels of the image into one or more pixel types based on one or more pixel-level features; determine, for each partition region, a set of pixel characteristic data describing a portion of the image included in the partition region based on the one or more pixel types of pixels in the partition region; and classify a scene of the image based on the set of pixel characteristic data of each of the partition regions.

Abstract: The disclosure describes novel technology for inferring scenes from images. In one example, the technology includes a system that can determine partition regions from one or more factors that are independent of the image data, for an image depicting a scene; receive image data including pixels forming the image; classify pixels of the image into one or more pixel types based on one or more pixel-level features; determine, for each partition region, a set of pixel characteristic data describing a portion of the image included in the partition region based on the one or more pixel types of pixels in the partition region; and classify a scene of the image based on the set of pixel characteristic data of each of the partition regions.

Abstract: Embodiments of the present invention provide apparatuses, methods, and systems for authenticated distributed detection and inference. In various embodiments, an apparatus comprises an interface configured to communicatively couple a node hosting the apparatus to a network, and a distributed detection and inference (DDI) agent coupled to the interface and configured to receive, via the interface, DDI collaboration parameters from an authentication node is disclosed. Other embodiments may be described and claimed.

Abstract: Methods, apparatus, and systems are provided for distributed hypothesis testing in autonomic processing machines. Evidence about a network resource is gathered or contributed to and associated with a hypothesis about the network resource. The evidence is processed to determine whether a decision can be made with respect to activities or problems associated with the network resource. The hypothesis, the evidence, and the contributed evidence are propagated over a network to other network nodes or participants.

Abstract: Embodiments of the present invention provide apparatuses, methods, and systems for authenticated distributed detection and inference. Other embodiments may be described and claimed.

Abstract: Embodiments of the present invention provide an inappropriate access detector of system segmentation faults. Other embodiments may be described and claimed.