Abstract: Aspects of the present disclosure relate to an autonomous mobile attenuator system for mitigating vehicular collisions. The system includes one or more mobile attenuators that receive data indicating a need for deployment from one or more sensors. The one or more mobile attenuators perform a collision risk assessment on the received data to determine a probability of a potential vehicle collision. The one or more mobile attenuators determine the probability of the potential vehicle collision exceeds a predetermined risk threshold value. The one or more mobile attenuators determine a predicted location for the potential vehicle collision. The one or more mobile attenuators proceed to the predicted location to mitigate the potential vehicle collision.

Abstract: A selection of content from a content presentation is received. At least one topic from the selected content is extracted using natural language processing (NLP). The at least one topic is representative of a subject conveyed within the selected content. At least one perspective associated with the at least one topic is extracted using NLP. The at least one perspective is representative of a point of view conveyed within the selected content regarding the at least one topic. A topic rating of the extracted topics and associated perspectives is determined based upon the extracted topics and associated perspectives. The topic rating is representative of a topic diversity among the extracted topics and associated perspectives. The topic rating is presented within a graphical user interface (GUI).

Abstract: An image file is to be posted on a social media web site is automatically detected, the image file containing at least an image of a first individual with a background image depicting a location determined to be unsafe. A risk level associated with the location is determined. Based on the risk level, an action is automatically activated, which prevents at least a second individual from taking a photograph of the second individual at the location.

Abstract: A cohort associated with a user is identified. A virtual object is generated according to the cohort. An augmented reality setting of a location is generated in relation to the user. A context of the location is determined. The virtual object is modified in the augmented reality setting according to the context and the cohort.

Abstract: Techniques are described for providing live first aid response guidance using a machine learning based cognitive aid planner. In one embodiment, a computer-implemented method is provided that comprises classifying, by a system operatively coupled to a processor, a type of an injury endured by a patient. The method further comprises, employing, by the system, one or more machine learning models to estimate a risk level associated with the injury based on the type of the injury and a current context of the patient.

Abstract: A method and system for predicting vehicle wash services for a human-driven or self-driven vehicle. The method determines anticipated routes of travel for the vehicle based on context of a user associated with the vehicle, implements machine learning neural network models for predicting the road conditions in the anticipated routes of travel, and, then, auto-suggests one or more candidate car wash locations and associated Time of Days (to wash the car) while optimizing a user value.

Abstract: A selection of content from a content presentation is received. At least one topic from the selected content is extracted using natural language processing (NLP). The at least one topic is representative of a subject conveyed within the selected content. At least one perspective associated with the at least one topic is extracted using NLP. The at least one perspective is representative of a point of view conveyed within the selected content regarding the at least one topic. A topic rating of the extracted topics and associated perspectives is determined based upon the extracted topics and associated perspectives. The topic rating is representative of a topic diversity among the extracted topics and associated perspectives. The topic rating is presented within a graphical user interface (GUI).

Abstract: In an electrical power outlet device, a processor and a memory are configured to execute an application within the outlet device, which computes a pattern of usage of the outlet device. A set of sensors in the outlet device includes a first sensor that is usable to detect an event in an environment in which the outlet device is supplying power. The environment includes elements that are not participating in an electrical circuit that receives power from the outlet device and the event is usable by the application to alter the pattern of usage. An autonomous modification of an operation of the outlet device is performed in response to the pattern of usage, the event, or both. The operation changes a power supplying state of the outlet device without using an external switching apparatus or an external logic implemented outside the outlet device.

Abstract: A computer-implemented method includes detecting, by one or more sensors of a robot, one or more characteristics of a current point on a surface on which the robot travels. A feature vector is constructed to describe the current point on the surface on which the robot travels, based on the one or more characteristics. The feature vector is mapped to a confidence level that a hazard exists at the current point on the surface. It is determined that the confidence level meets a threshold confidence. An alert is issued in association with the current point on the surface, based on the confidence level meeting the threshold confidence.

Abstract: An apparatus and method for measuring flux, current, or integrated charge of a beam are provided. The apparatus and method include a cup on which the beam is incident. The cup includes an inner cylinder, a coaxial cylinder, and an aperture. The coaxial cylinder surrounds the inner cylinder and is electrically insulated therefrom. An offset current source is in electrical communication with the inner cylinder. An electrometer, a charge integrator, or a counter may be electrically connected to the cup and the offset current source. When the beam is incident on the cup and aligned with the aperture, the electrometer can measure the beam current and the charge integrator can measure the integrated charge of the beam.

Abstract: A computer implemented method, system and computer program product for a receptionist function in vehicles for communications management, such as phone call and texting management, includes determining driving context of a moving vehicle, estimating a risk factor related to the operation of the vehicle based on the driving context, receiving an incoming communication directed to a mobile communication device within the vehicle, analyzing the incoming communication to determine a communication factor representing an assessment of the incoming communication, and determining an electronic action in response to the incoming communication based on the driving context, the risk factor and the communication factor.

Abstract: Methods, systems, and computer program products are provided. Aspects include determining characteristic data associated with a physical environment, based on the characteristic, determining an elastic map for the physical environment, wherein the elastic map comprises a graph comprising a set of nodes and a set of edges, wherein each edge connects two nodes and a set of configurable parameters that define an elastic coupling for each edge, determining an initial physical configuration of the set of nodes in the physical environment based on the elastic map, causing a set of mobile sensors to establish the initial configuration in the physical environment, simulating a mobile sensor elastic coupling between each mobile sensor based on the elastic energy function for each edge, collecting an environmental data point associated with the physical environment, and adjusting a configuration of the set of mobile sensors based on the environmental data point.

Abstract: Methods and systems for predicting congestion duration are described. A processor can detect an occurrence of an incident in an area. The processor can receive context data associated with the area from at least one data source. The processor can execute a prediction engine using the received context data to predict a clearance time indicating a predicted completion time of post-incident activities related to the incident in the area. The processor can determine a congestion duration based on the clearance time. The congestion duration can be an estimated duration of congestion in the area in response to the occurrence of the incident. The processor can compare the congestion duration with a threshold. The processor can select, based on the comparison, at least one operation to optimize an amount of congestion in the area. The processor can execute the selected operations to optimize the amount of congestion in the area.

Abstract: Context associated with content may be received. An additional content may be generated for insertion into the content. The additional content can be created to be within the context associated with the content and based on a likely responsiveness of the user to the additional content, the additional content referring to an item. The additional content preserves continuity and/or semantics in the context of the content.

Abstract: Smart speaker system mechanisms, associated with a smart speaker device comprising an audio capture device, are provided for processing audio sample data captured by the audio capture device. The mechanisms receive, from the audio capture device of the smart speaker device, an audio sample captured from a monitored environment. The mechanisms classify a sound in the audio sample data as a type of sound based on performing a joint analysis of a plurality of different characteristics of the sound and matching results of the joint analysis to criteria specified in a plurality of sound models. The mechanisms determine, based on the classification of the sound, whether a responsive action is to be performed based on the classification of the sound. In response to determining that a responsive action is to be performed, the mechanisms initiate performance of the responsive action by the smart speaker system.

Abstract: A moving target service receives path of locations of a moving target monitored by a navigation device. The moving target service calculates at least one optimized course for at least one user to follow to intersect with the moving target at one or more future locations predicted based on the path of the locations and based on at least one context record. The moving target service outputs the at least one optimized course to a display interface accessible to the at least one user for directing the user to navigate from a starting point to at least one of the one or more future locations.

Abstract: An expert recommendation method, system, and non-transitory computer readable medium, include a topic extraction circuit configured to extract a topic of a user input message in real-time, an expert recommending circuit configured to recommend a list including a plurality of experts based on the extracted topic, and an expert ranking circuit configured to order the experts on the list of experts based on an expert rank factor.

Abstract: Smart speaker mechanisms are provided for processing audio sample data captured by the audio capture device is provided. The mechanisms capture one or more audio samples from a monitored environment and store the captured one or more audio samples in the audio sample buffer. The one or more captured audio samples are analyzed to determine whether the one or more captured audio samples represent a potential wake sound for initiating a responsive action by the smart speaker device. The potential wake sound is a variable sound determined to not be a normal ambient sound of the monitored environment. In response to determining that the one or more captured audio samples represent a potential wake sound for initiating a responsive action by the smart speaker device, the mechanisms initiate performance of the responsive action by the smart speaker device.

Abstract: A moving target service accesses locations of moving targets each carrying a separate device accessing an augmented reality environment through an augmented reality service, the augmented reality environment comprising one or more moving virtual targets, the one or more moving virtual targets only accessible within the augmented reality environment when each device is physically present at one or more particular locations within a real world environment. The moving target service identifies a selection of the moving targets of a density within a region exceeding a density threshold. The moving target service calculates at least one optimized course for a user to follow within the real world environment to intersect with one or more of the selection of moving targets in the region to access the moving virtual target through the augmented reality service on a separate device accessible to the user.

Abstract: Smart speaker system mechanisms, associated with a smart speaker device comprising an audio capture device, are provided for processing audio sample data captured by the audio capture device. The mechanisms receive, from the audio capture device of the smart speaker device, an audio sample captured from a monitored environment. The mechanisms classify a sound in the audio sample data as a type of sound based on performing a joint analysis of a plurality of different characteristics of the sound and matching results of the joint analysis to criteria specified in a plurality of sound models. The mechanisms determine, based on the classification of the sound, whether a responsive action is to be performed based on the classification of the sound. In response to determining that a responsive action is to be performed, the mechanisms initiate performance of the responsive action by the smart speaker system.