Abstract: A method comprises computing an articulation rating associated with an input text, generating a modified subtext to modify a candidate subtext of the input text, generating an enhanced text that includes the modified subtext, computing an articulation rating associated with the enhanced text, and, based on the articulation rating associated with the enhanced text improving over the articulation rating associated with the input text, outputting the enhanced text. The method can include computing a meaning and/or relevance score associated with a candidate subtext of the input text, computing a meaning and/or relevance score associated with a modified subtext, and, based on one or both of the second scores improving over the respective first scores, generating the enhanced text to include the modified text. A word processing system, comprising a computerized input text, computerized attributes, and a computer-implemented word processor, can perform operations of the method.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: A method comprises computing an articulation rating associated with an input text, generating a modified subtext to modify a candidate subtext of the input text, generating an enhanced text that includes the modified subtext, computing an articulation rating associated with the enhanced text, and, based on the articulation rating associated with the enhanced text improving over the articulation rating associated with the input text, outputting the enhanced text. The method can include computing a meaning and/or relevance score associated with a candidate subtext of the input text, computing a meaning and/or relevance score associated with a modified subtext, and, based on one or both of the second scores improving over the respective first scores, generating the enhanced text to include the modified text. A word processing system, comprising a computerized input text, computerized attributes, and a computer-implemented word processor, can perform operations of the method.

Abstract: A method includes, responsive to determining a vehicle is operational, receiving vehicle data associated the operational vehicle. The method receives driver data associated with a driver of the operational vehicle. The method receives environmental data associated with a location for the operational vehicle. The method calculates a drivability score based on the vehicle data, the driver data, and the environmental data, wherein the drivability score is a measure of optimal driving conditions. Responsive to determining the drivability score is below a drivability score threshold, the method performs an action based on the drivability score.

Abstract: Provided are systems, methods, and media for building a dynamic digital profile of a user to generate a user grouping recommendation. An example method includes receiving, by a system comprising one or more processors, social media data pertaining to a user. The method includes building, by the system, a digital profile of the user based on extraction of a combination of one or more of image data, text data, and/or location data, in which the building of the digital profile includes generating, by the system, a keywords ranking. The method includes generating, by the system, a user grouping recommendation for the user based on the ranking of keywords, in which the user grouping recommendation includes event data and a list of one or more second users attending the event.

Abstract: A method includes, responsive to determining a vehicle is operational, receiving vehicle data associated the operational vehicle. The method receives driver data associated with a driver of the operational vehicle. The method receives environmental data associated with a location for the operational vehicle. The method calculates a drivability score based on the vehicle data, the driver data, and the environmental data, wherein the drivability score is a measure of optimal driving conditions. Responsive to determining the drivability score is below a drivability score threshold, the method performs an action based on the drivability score.

Abstract: In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, from a plurality of sensors, user data for a plurality of users, the plurality of sensors being distributed throughout a physical space. The method further includes analyzing the user data for the plurality of users. The method further includes generating an object placement plan based at least in part on a result of analyzing the user data, the object placement plan defining a location for each of a plurality of objects throughout the physical space. The method further includes collecting additional user data subsequent to implementing the object placement plan. The method further includes analyzing the additional user data. The method further includes generating an adjusted object placement plan based at least in part on a result of analyzing the additional user data.

Abstract: A computer-implemented method is provided for analyzing and classifying automobile sounds. The computer-implemented method includes causing a receiver to receive an audio input, determining whether the audio input is distinct from sounds stored in a library and breaking the audio input up into constituent segments in an event the audio input is distinct from sounds stored in the library. The computer-implemented method further includes determining whether any of the constituent segments are unassociated with known sources and determining whether present conditions, which were in effect during the receiving of the audio input, are similar to prior conditions, which were in effect during a previous audio input reception, in an event constituent segments are unassociated with the known sources.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: A computer-implemented method is provided for analyzing and classifying automobile sounds. The computer-implemented method includes causing a receiver to receive an audio input, determining whether the audio input is distinct from sounds stored in a library and breaking the audio input up into constituent segments in an event the audio input is distinct from sounds stored in the library. The computer-implemented method further includes determining whether any of the constituent segments are unassociated with known sources and determining whether present conditions, which were in effect during the receiving of the audio input, are similar to prior conditions, which were in effect during a previous audio input reception, in an event constituent segments are unassociated with the known sources.

Abstract: Examples of techniques for enhanced teleconferencing are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes monitoring, by a processing device, a teleconference having a plurality of participants, a plurality of participant devices being used to facilitate the teleconference, each of the plurality of participants being associated with one of the plurality of participant devices. The method further includes detecting, by the processing device, a trigger event associated with one of the plurality of participants. The method further includes, responsive to detecting the trigger event associated with the one of the plurality of participants, disabling a mute setting for one of the plurality of participant devices that is associated with the one of the plurality of participants.

Abstract: Examples of techniques for enhanced teleconferencing are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes monitoring, by a processing device, a teleconference having a plurality of participants, a plurality of participant devices being used to facilitate the teleconference, each of the plurality of participants being associated with one of the plurality of participant devices. The method further includes detecting, by the processing device, a low volume of a channel associated with one of the plurality of participant devices. The method further includes, responsive to detecting the low volume associated with the one of the plurality of participants, amplifying, by the processing device, the channel to increase volume without amplifying other channels associated with other of the plurality of participant devices.

Abstract: Aspects of the invention include receiving system status information about a plurality of computer systems from a plurality of customers. The system status information includes a plurality of types of system status information and each of the plurality of customers provides at least a subset of the plurality of types of system status information. Customer identifiers are removed from the received system status information. For each of the customers it is determined whether a type of the plurality of types of system status information was received from the customer. Based at least in part on determining that the type of system status information was received from the customer, a trend in the type of system status information is determined. The trend is based at least in part on system status information received from at least one other of the plurality of customers. The trend is provided to the customer.

Abstract: Provided are systems, methods, and media for building a dynamic digital profile of a user to generate a user grouping recommendation. An example method includes receiving, by a system comprising one or more processors, social media data pertaining to a user. The method includes building, by the system, a digital profile of the user based on extraction of a combination of one or more of image data, text data, and/or location data, in which the building of the digital profile includes generating, by the system, a keywords ranking. The method includes generating, by the system, a user grouping recommendation for the user based on the ranking of keywords, in which the user grouping recommendation includes event data and a list of one or more second users attending the event.

Abstract: An approach is provided in which a manufacturing test scheduling system predicts a dew point forecast indoor a facility based upon outdoor weather data and indoor environment data. The manufacturing test scheduling system selects time slots in the dew point forecast based upon a pre-defined dew point threshold and, in turn, schedules tests of a liquid cooled computer system during the selected time slots.

Abstract: A computer-implemented method is provided for analyzing and classifying automobile sounds. The computer-implemented method includes causing a receiver to receive an audio input, determining whether the audio input is distinct from sounds stored in a library and breaking the audio input up into constituent segments in an event the audio input is distinct from sounds stored in the library. The computer-implemented method further includes determining whether any of the constituent segments are unassociated with known sources and determining whether present conditions, which were in effect during the receiving of the audio input, are similar to prior conditions, which were in effect during a previous audio input reception, in an event constituent segments are unassociated with the known sources.

Abstract: A computer-implemented method is provided for analyzing and classifying automobile sounds. The computer-implemented method includes causing a receiver to receive an audio input, determining whether the audio input is distinct from sounds stored in a library and breaking the audio input up into constituent segments in an event the audio input is distinct from sounds stored in the library. The computer-implemented method further includes determining whether any of the constituent segments are unassociated with known sources and determining whether present conditions, which were in effect during the receiving of the audio input, are similar to prior conditions, which were in effect during a previous audio input reception, in an event constituent segments are unassociated with the known sources.

Abstract: An approach is provided in which a manufacturing test scheduling system predicts a dew point forecast indoor a facility based upon outdoor weather data and indoor environment data. The manufacturing test scheduling system selects time slots in the dew point forecast based upon a pre-defined dew point threshold and, in turn, schedules tests of a liquid cooled computer system during the selected time slots.

Abstract: A mechanism is provided in a data processing system for automatic case assignment. The mechanism extracts features from a machine readable form of a case to be assigned. An expertise classifier generates an initial case assignment matrix matching the case to a plurality of caseworkers based on the extracted features, a caseworker relationship graph, and an entity relationship graph. A personnel filter filters the initial case assignment matrix based on expertise, availability, and caseload of the plurality of caseworkers to form a final caseworker assignment. The mechanism assigns the case to an identified caseworker based on the final caseworker assignment.

Abstract: A test unit, operating in a first hardware operating state, receives a request for the input data from a test platform. In response to the receiving the request, the test unit determines that retrieving the input data requires the test unit to be in a second hardware operating state. In response to the determining, the test unit transitions from the first hardware operating state to the second operating hardware state. In the second hardware operating state, the test unit retrieves the input data. Once the test unit transitions to the second and correct hardware operating state, the test unit transmits the input data to the test platform.