Abstract: Examples may include a method of instantiating a virtual machine, instantiating a virtual device to transmit data to and receive data from assigned resources of a shared physical device; and assigning the virtual device to the virtual machine, the virtual machine to transmit data to and receive data from the physical device via the virtual device.

Abstract: An automatic speech recognition (ASR) system recognizes speech expressed in different languages. The ASR system includes a language-agnostic encoding component and prediction component. A language-specific joint analysis system generates first-language probabilities for symbols of a first language and second-language probabilities for symbols of a second language, based on outputs generated by the encoding component and the prediction component. The ASR system then modifies the probabilities produced by the joint analysis system by language-specific weighting information that, in turn, is produced by an attention system. This yields modified first-language probabilities and modified second-language probabilities. Finally, the ASR system predicts an updated instance of label information based on the modified first-language probabilities and the modified second-language probabilities. The ASR system can be successfully applied to recognize an utterance that combines words in two or more languages.

Abstract: Palatable oral dosage formulations are provided including an effective amount of an isoxazoline parasiticidal agent, an avermectin, and a pyrazinoisoquinoline, and optionally one or more additional active ingredients, such as a tetrahydropyrimidine.

Abstract: An automatic speech recognition (ASR) system recognizes speech expressed in different languages. The ASR system includes a language-agnostic encoding component and prediction component. A language-specific joint analysis system generates first-language probabilities for symbols of a first language and second-language probabilities for symbols of a second language, based on outputs generated by the encoding component and the prediction component. The ASR system then modifies the probabilities produced by the joint analysis system by language-specific weighting information that, in turn, is produced by an attention system. This yields modified first-language probabilities and modified second-language probabilities. Finally, the ASR system predicts an updated instance of label information based on the modified first-language probabilities and the modified second-language probabilities. The ASR system can be successfully applied to recognize an utterance that combines words in two or more languages.

Abstract: Artificial Intelligence Multiple Input Convolutional Neural Network-based system and method to diagnose bone, muscle, or joint diseases using one or multiple inputs such as EMG (Electromyography), X-Ray, MRI (Magnetic resonance imaging), CT (computed tomography), Arthroscopy, Ultrasonography, video, images, patient reports, text reports, The system can provide recommendations or treatment plan based on severity or grading of the disease, deformity or degeneration that may include physiotherapy, exercise, surgery to prevent or cure the medical condition.

Abstract: An approach for triaging injured individuals. The system receives data from one or more mobile computing devices, wherein data comprises a first location associated with an event, video data and audio data and the system analyze the received data. And the system matches one or more medical personnel with one or more injured individual of the event and generates an output list, wherein the output list comprises a second location to transport the injured individual. Furthermore, the system notifies one or more transportation personnel of the second location for transport and notifies one or more personnel at the second location of the arrival of the injured individual.

Abstract: A plurality of computing devices, in a set of computing devices, each perform one or more tasks. A program monitors the tasks performed on each of the computing devices and determines a usage pattern. Based on the usage pattern the program determines one or more programs available for one or more of the computing devices. The program outputs a recommendation to install one or more of the available programs on one or more of the computing devices.

Abstract: A plurality of computing devices, in a set of computing devices, each perform one or more tasks. A program monitors the tasks performed on each of the computing devices and determines a usage pattern. Based on the usage pattern the program determines one or more programs available for one or more of the computing devices. The program outputs a recommendation to install one or more of the available programs on one or more of the computing devices.

Abstract: Disclosed aspects relate to response status management in a social networking environment. A message from a source user to a recipient user may be detected in the social networking environment in response to a triggering event, wherein the triggering event is the recipient user being added to a guest list, and wherein the message is a party invitation. A set of message response actions related to the recipient user may be identified. A response status may be determined based on the set of message response actions, wherein the response status relates to the recipient user. An indication of the response status may be provided to the source user, wherein the indication includes a gif video indicator.

Abstract: An approach for triaging injured individuals. The system receives data from one or more mobile computing devices, wherein data comprises a first location associated with an event, video data and audio data and the system analyze the received data. And the system matches one or more medical personnel with one or more injured individual of the event and generates an output list, wherein the output list comprises a second location to transport the injured individual. Furthermore, the system notifies one or more transportation personnel of the second location for transport and notifies one or more personnel at the second location of the arrival of the injured individual.

Abstract: A computing network may include, in an example, a plurality of media output devices communicatively coupled via the computing network; a tracking module to, when executed by a processor: track a user's emotional connection with a first media output from a first media output device of the plurality of media output devices to calculate an emotional quotient score; track the users's disconnection with the first media output from the first media output device; a connection module to connect the user to a related media output from a second media output device based on the emotional quotient score.

Abstract: An embodiment of the invention may include a semiconductor structure for ensuring semiconductor design integrity. The semiconductor structure may include an electrical circuit necessary for the operation of the semiconductor circuit and white space having no electrical circuit. The semiconductor structure may include an optical pattern used for validating the semiconductor circuit design formed in the white space of the electrical circuit. In an embodiment of the invention, the optical pattern may include one or more deposition layers. In an embodiment of the invention, the optical pattern may include covershapes. In an embodiment of the invention, the optical pattern may be physically isolated from the electrical circuit. The optical pattern may include a Moiré pattern.

Abstract: Disclosed aspects relate to response status management in a social networking environment. A message from a source user to a recipient user may be detected in the social networking environment in response to a triggering event, wherein the triggering event is the recipient user being added to a guest list, and wherein the message is a party invitation. A set of message response actions related to the recipient user may be identified. A response status may be determined based on the set of message response actions, wherein the response status relates to the recipient user. An indication of the response status may be provided to the source user, wherein the indication includes a gif video indicator.

Abstract: A computing network may include, in an example, a plurality of media output devices communicatively coupled via the computing network; a tracking module to, when executed by a processor: track a user's emotional connection with a first media output from a first media output device of the plurality of media output devices to calculate an emotional quotient score; track the users's disconnection with the first media output from the first media output device; a connection module to connect the user to a related media output from a second media output device based on the emotional quotient score.

Abstract: Disclosed aspects relate to response status management in a social networking environment. A message from a source user to a recipient user may be detected in the social networking environment. A set of message response actions related to the recipient user may be identified. A response status may be determined based on the set of message response actions. An indication of the response status may be provided to the source user.

Abstract: Disclosed aspects relate to response status management in a social networking environment. A message from a source user to a recipient user may be detected in the social networking environment. A set of message response actions related to the recipient user may be identified. A response status may be determined based on the set of message response actions. An indication of the response status may be provided to the source user.

Abstract: A plurality of computing devices, in a set of computing devices, each perform one or more tasks. A program monitors the tasks performed on each of the computing devices and determines a usage pattern. Based on the usage pattern the program determines one or more programs available for one or more of the computing devices. The program outputs a recommendation to install one or more of the available programs on one or more of the computing devices.

Abstract: A plurality of computing devices, in a set of computing devices, each perform one or more tasks. A program monitors the tasks performed on each of the computing devices and determines a usage pattern. Based on the usage pattern the program determines one or more programs available for one or more of the computing devices. The program outputs a recommendation to install one or more of the available programs on one or more of the computing devices.

Abstract: A computer-implemented method, carried out by one or more processors, for managing unavailability notices. In an embodiment, the method comprises the steps of initializing an out of office notice, wherein the out of office notice is associated with a first user of an e-mail service; receiving inputs for the out of office notice, wherein the inputs include one or more of: a duration of time selection, alternative contact information, and message content; receiving a list of one or more user to whom to send an out of office alert notice; and sending to the one or more users from the list the out of office alert notice with a reminder function, wherein the reminder function allows for each of the one or more users to receive a reminder about unavailability at another time.

Abstract: Onboarding for a new user may be conducted when a system detects a user profile and a role profile, where the role profile is associated with a particular job role within a company. The system may gather learning data about what the user is learning during the onboarding, and send the data to a natural language processing system for analysis. Based on the analysis and the user and role profiles, a next set of onboarding materials may be determined by the system. Based on the next set of onboarding materials and the learning data, the role profile can be updated.