Abstract: Method, system, and computer product for operating a self-driving vehicle (SDV). The SDV receives information from a calendar entry of a passenger's schedule about an event at a destination location to which the SDV is to drive the passenger to. The SDV sensors detect one or more behaviors or cognitive states of the passenger while in the vehicle. The SDV determines an optimal arrival time at the destination location based on the user's schedule information and the user's behavior or cognitive state; and further alters the driving speed or route taken by the SDV based on the determined optimal arrival time and an estimated travel time. The reshaping of the SDV driving characteristics is based on calendar information received including: an event meeting time, event topic, attendees, event importance. A detected passenger behavior can include talking on a phone, reading, or being in a tired, sleeping, agitated or nervous state.

Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component and a hybrid cloud composition component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects.

Abstract: A content delivery method, system, and non-transitory computer readable medium, include determining an attentiveness factor in response to viewing of a media content and replaying the media content starting from a point that the attentiveness factor is determined to be less than a predetermined threshold.

Abstract: A security scanning method, system, and computer program product, includes receiving a communication of information from a medical device associated with a traveler via a security device and triggering a sending of the information to the device and storing the information in a blockchain.

Abstract: A processor-implemented method, system, and/or computer program product improves operation of a computer. One or more processors receive a question from a user of a computer, which requests a solution to improve operations of the computer. Based on an interpretation derived from the context of the request, the processor(s) retrieve multiple child solution instances to the question, where the multiple child solution instances are derived from a parent solution instance. The processor(s) direct the computer to simultaneously display the multiple child solution instances on the computer, and then receive a selected child solution instance from the user. In response to receiving the selected child solution instance, the processor(s): discard other solution instances from the multiple child solution instances; designate the selected child solution instance as a primary solution instance; and store the primary solution instance. The processor(s) then direct execution of the primary solution instance.

Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include providing an initial label associated with an electronic message, matching the initial label with a sender and data of the sender at a time of the electronic message, and predicting a second label associated with a second electronic message from the sender according to an analysis that compares a second data of the sender at a second time of the second electronic message with the data of the sender at the time of the electronic message.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component and a hybrid cloud composition component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects.

Abstract: A method for enhancing speech performance includes communicating, via an input/output (I/O) device, speech data of a patient with speech problems, segmenting the speech data, generating one or more feature vectors based on at least the segmented speech data, determining whether the one or more feature vectors match with one or more recognition objects pre-trained using clinical data of one or more other patients, determining a speech disorder based on a matched result between the one or more feature vectors and the one or more recognition objects, and communicating, via the I/O device, one or more ameliorative actions for mitigating the determined speech disorder.

Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include a receiving circuit configured to receive an electronic message sent by a first user, a labeling circuit configured to query a second user to associate a label with the electronic message based on a cognitive state of the first user, and a correlating circuit configured to correlate the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of the wearable and an external sensor in a database.

Abstract: Selecting and displaying a profile photo may include determining viewer characteristics of a viewer who is triggering an action to open an image file that shows a photo image. A context associated with viewing of the profile photo and photo image characteristics of a plurality of photos may be determined. Based on the viewer characteristics, the photo image characteristics and the context associated with viewing of the profile photo, a photo from the plurality of photos may be selected. Responsive to determining that the selected photo is to be transformed, a transformed version of the photo image may be generated and displayed.

Abstract: A system and method implemented in a computer infrastructure having computer executable code, includes receiving one or more bids for at least one of an enhanced rendering quality and an enhanced rendering order of an object in a virtual universe (VU) and performing a bid resolution for the received one or more bids. Additionally, the method includes rendering one or more objects in the VU with the at least one of the enhanced rendering quality and the enhanced rendering order based on the bid resolution.

Abstract: Systems and methods for advertising, and, more particularly, systems and methods for managing ephemeral locations in a virtual universe. A method for managing ephemeral locations in a virtual universe (VU) includes causing a computer infrastructure to: render an ephemeral location upon a triggering in the VU; teleport a VU user avatar to the ephemeral location; permit the user avatar to interact in the ephemeral location; teleport the user avatar out of the ephemeral location; and un-render the ephemeral location.

Abstract: An exemplary computer-implemented method includes obtaining at least one teleportation invite block that records a virtual universe teleportation invite marked by at least one parameter. The teleportation invite identifies a virtual universe user as an invitee. Responsive to the parameter, assess whether the virtual universe teleportation invite is potentially malicious, and alert the invitee in case the virtual universe teleportation invite is potentially malicious.

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 method for operating a cognitive monitor includes measuring a cognitive tone of a user, determining a categorization of the cognitive tone of the user, selecting an effector using the categorization of the cognitive tone of the user, and applying the at least one effector using a feedback mechanism of the cognitive monitor. The effector is selected to achieve a predicted future cognitive tone in the user.

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: A music practice feedback system, includes a processor; and a memory storing instructions that cause the processor to perform, forecasting an ability to retain playing skills of a sheet music by a user via machine learning and changing a display of the sheet music based on the forecasted ability.

Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component, a hybrid cloud composition component, and a learning component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The learning component monitors the cloud-based computing platform based on the one or more blueprint-level aspects to learn one or more features associated with the cloud-based computing platform.

Abstract: A method of inferring intent in a hybrid network includes monitoring communications in the hybrid network between a plurality of members, triggering an estimation of an intent of one or more members of the hybrid network, estimating the intent, determining a confidence level of the intent, and triggering an action based on the confidence level.