Abstract: A computer system provides patient monitoring and treatment using electronic textiles. Biometric data pertaining to a user is received that is obtained over time from an electronic textile device associated with a body of the user. The biometric data is analyzed to identify positions and movements of the body. The identified positions and movements are analyzed to generate a knowledge corpus for the user that maps one or more of: positions, movements, and portions of the body to a health condition of the user. A treatment plan is generated, based on the knowledge corpus, that indicates a relatedness between the health condition of the user and the one or more positions, movements, and portions of the body. Embodiments of the present invention further include a method and program product for providing patient monitoring and treatment in substantially the same manner described above.

Abstract: A computer hardware system includes a full self-driving (FSD) assistive system for assisting a user with a trip using a FSD autonomous vehicle and hardware processing configured to initiate the following executable operations. Based upon a first user input to a computing device associated with the user, a proposed route of the trip is received. A previously-stored user profile of the user and a context of the trip is retrieved. The vehicle is searched for based upon the user profile, the proposed route, and the context. The vehicle is configured using the user profile. External sensors are polled for road conditions along the route, and the road conditions are forwarded to the vehicle. An onboard analytics device of the vehicle uses the road conditions to change a driving mode of the vehicle.

Abstract: A method, computer system, and a computer program product for allocating unused computing resources of a plurality autonomous vehicles is provided. The present invention may include receiving at least one computation request from at least one user. The present invention may include identifying the unused computing resources of the plurality of autonomous vehicles. The present invention may include predicting an amount of computational activities performable by the unused computing resources of the plurality of autonomous vehicles. The present invention may include allocating the unused computing resources of the plurality of autonomous vehicles to perform the predicted amount of computational activities, wherein the received at least one computation request is allocated at least a portion of the unused computing resources. The present invention may include distributing a processing load to at least one of the plurality of autonomous vehicles.

Abstract: A method for automatically providing virtual support is provided. The method may include determining a level of experience associated with the end-user and members of a support personnel for a computer application. The method may further include, in response to detecting one or more first actions on the computer application, automatically generating and providing support instructions based on virtual support documentation to an end-user based on the one or more first actions and based on the level of experience associated with the end-user. The method may further include, in response to detecting one or more second actions on the computer application, automatically determining a match between a member of the support personnel and the end-user based on the level of experience associated with the end-user and the member of support personnel.

Abstract: Disambiguating question answering responses by receiving voice command data associated with a first user, determining a first user identity according to the first user voice command data, determining a first user activity context according to the first user voice command data, determining a first response for the first user, receiving voice command data associated with a second user, determining a second user identity according to the second user voice command data, determining a second user activity context according to the second user voice command data, determining a second response for the second user, determining a predicted ambiguity between the first response and the second response, altering the first response according to the predicted ambiguity, and providing the first response and the second response.

Abstract: Disclosed herein a system, method, and computer program product for providing proactive guidance to users in order to execute a shift left model in software delivery. As disclosed, a processor may receive an issue resolution request. The processor may further access an issue resolution request repository where the issue resolution request repository may include details related to prior issue resolution requests. The processor may subsequently classify the issue resolution request based on the details related to the prior issue resolution requests. Accordingly, the processor may identify a root cause for the issue resolution request.

Abstract: A method, computer system, and a computer program product for allocating unused computing resources of a plurality autonomous vehicles is provided. The present invention may include receiving at least one computation request from at least one user. The present invention may include identifying the unused computing resources of the plurality of autonomous vehicles. The present invention may include predicting an amount of computational activities performable by the unused computing resources of the plurality of autonomous vehicles. The present invention may include allocating the unused computing resources of the plurality of autonomous vehicles to perform the predicted amount of computational activities, wherein the received at least one computation request is allocated at least a portion of the unused computing resources. The present invention may include distributing a processing load to at least one of the plurality of autonomous vehicles.

Abstract: A computer system provides patient monitoring and treatment using electronic textiles. Biometric data pertaining to a user is received that is obtained over time from an electronic textile device associated with a body of the user. The biometric data is analyzed to identify positions and movements of the body. The identified positions and movements are analyzed to generate a knowledge corpus for the user that maps one or more of: positions, movements, and portions of the body to a health condition of the user. A treatment plan is generated, based on the knowledge corpus, that indicates a relatedness between the health condition of the user and the one or more positions, movements, and portions of the body. Embodiments of the present invention further include a method and program product for providing patient monitoring and treatment in substantially the same manner described above.

Abstract: Disambiguating question answering responses by receiving voice command data associated with a first user, determining a first user identity according to the first user voice command data, determining a first user activity context according to the first user voice command data, determining a first response for the first user, receiving voice command data associated with a second user, determining a second user identity according to the second user voice command data, determining a second user activity context according to the second user voice command data, determining a second response for the second user, determining a predicted ambiguity between the first response and the second response, altering the first response according to the predicted ambiguity, and providing the first response and the second response.

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 computer hardware system includes a full self-driving (FSD) assistive system for assisting a user with a trip using a FSD autonomous vehicle and hardware processing configured to initiate the following executable operations. Based upon a first user input to a computing device associated with the user, a proposed route of the trip is received. A previously-stored user profile of the user and a context of the trip is retrieved. The vehicle is searched for based upon the user profile, the proposed route, and the context. The vehicle is configured using the user profile. External sensors are polled for road conditions along the route, and the road conditions are forwarded to the vehicle. An onboard analytics device of the vehicle uses the road conditions to change a driving mode of the vehicle.

Abstract: A method for automatically providing virtual support is provided. The method may include determining a level of experience associated with the end-user and members of a support personnel for a computer application. The method may further include, in response to detecting one or more first actions on the computer application, automatically generating and providing support instructions based on virtual support documentation to an end-user based on the one or more first actions and based on the level of experience associated with the end-user. The method may further include, in response to detecting one or more second actions on the computer application, automatically determining a match between a member of the support personnel and the end-user based on the level of experience associated with the end-user and the member of support personnel.

Abstract: A method, a structure, and a computer system for analysing user reactive data is disclosed herein. Exemplary embodiments may include detecting interaction with data by a user and extracting one or more user features from the user. Exemplary embodiments may further include extracting one or more data features from the data and identifying one or more data features interacted with by the user of the one or more data features. Moreover, exemplary embodiments may further include matching the one or more user features with the one or more data features interacted with by the user, and determining an interest level in the one or more data features interacted with by the user based on the matched one or more user features.

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.