Abstract: A method for utilizing augmented reality for positioning vehicles is disclosed. In one embodiment, such a method enables a customer to visualize, by way of an augmented reality device, a desired position of a vehicle selected to arrive at a designated pickup spot. This may include visualizing, by way of the augmented reality device, the desired position within an environment surrounding the pickup spot. The desired position may include one or more of a location and orientation of the vehicle and may be selected to optimize loading of passengers and/or cargo into the vehicle. The method documents the desired position and communicates the desired position to a ride-hailing service to enable the vehicle to be placed in accordance with the desired position upon arriving at the designated pickup spot. A corresponding system and computer program product are also disclosed.

Abstract: A method includes identifying a cluster of users with a plurality of devices, where each user from the cluster of users is associated with at least one device from the plurality of devices. The method also includes identifying an authorized user from the cluster of users to delegate role assignments to a remaining portion of the cluster of users and receiving, from the authorized user, a first role assignment for a first user from the remaining portion of the cluster of users. In response to receiving, from the first user, an audio command, the method also includes determining whether the first user is authorized to provide the audio command to the intelligent virtual assistant based on the first role assignment. In response to determining the first user is authorized to provide the audio command, the method also includes performing the audio command from the first user.

Abstract: A system and method are used to record and present a training video for a software component. The method displays the video recording. The video recording comprises: a display element of the software component, and first recorder activity data (FRAD) of recorder user interface (UI) input activity data (RUIIAD) at a FRAD time with video frame data of the video recording. The method further comprises receiving, during the displaying, viewer UI actions from a UI of the viewing device and converting them to viewer UI input activity data based on viewer interactions with the display element of the software component. Then, first viewer activity data (FVAD) is determined at a FVAD time of the video frame that corresponds to the FRAD, where the FRAD time and the FVAD time differ. Responsive to the determining, the method moves the video recording from the FVAD time to the FRAD time.

Abstract: A computer-implemented method, in accordance with one embodiment, includes monitoring contextual information of a vehicle during operation thereof. A determination is made that a condition is met to project, by a vehicle-based projection system mounted to the vehicle, a projection indicative of a contextual condition associated with the vehicle. In response to the determination that the condition is met, the projection indicative of the contextual condition is projected.

Abstract: A method, computer program, and computer system are provided for text summarization that maintains emotional content. Data corresponding to text to be summarized and a target emotion to be maintained in the text to be summarized is received. The target emotion is encoded as an emotion probability vector. One or more words that correspond to the target emotion that is encoded in the emotion probability vector are identified from a dictionary. A text summary to be associated with the text to be summarized is generated based on the one or more identified words.

Abstract: According to one embodiment, a method, computer system, and computer program product for selective image processing. The embodiment may include receiving a digital image for selective image processing. The embodiment may include identifying a context of the selective image processing. The embodiment may include performing object detection within the received digital image to identify one or more depicted objects based on the identified context. The embodiment may include overlaying, on at least one portion of the received digital image, one or more bounding boxes which encompass relative positions of the identified one or more depicted objects. The embodiment may include performing the selective image processing exclusively within the one or more overlaid bounding boxes.

Abstract: According to one embodiment, a method, computer system, and computer program product for physical object selection within an augmented-reality environment is provided. The present invention may include identifying a plurality of physical objects in a camera feed from an augmented reality device; responsive to detecting one or more gestures of a user within the camera feed, rendering one or more virtual lines extrapolating from one or more fingers of the user within the augmented reality environment; and responsive to the user selecting a physical object of the plurality of physical objects, performing one or more actions with respect to the selected physical object.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying multiple contextual factors within a navigational data based on navigational data containing a plurality of indicative markers, wherein the multiple contextual factors have an impact on a size of the navigational data associated with a navigational path; classifying the identified multiple contextual factors according to a contextual analysis of portions of the navigational path; and generating a microfluidic-based spiral representation of the navigational path for a user interface within a computing device based on a classification of the identified multiple contextual factors associated with the navigational data.

Abstract: Systems, methods and computer program products leveraging digital twin modeling and cognitive computing to predict lubrication replacement for a physical asset. Predictions of lubrication replacement consider one or more various parameters such as operating conditions, usage parameters, the surrounding environment, overall health and state of repair of the physical asset, lubricant properties and historically collected data from the physical asset (or similarly comparable assets). Timing for optimal lubrication replacement is identified using the collected data of the physical asset, along with historical data, to simulate changes in a state of lubricants and lubricated parts within a physical asset using digital twin modeling to make predictions how one or more actions upon the physical asset impact the health, stability and/or longevity of the lubricant's lifespan.

Abstract: Systems, methods, and computer program products for selectively customizing, modifying and changing performance parameters, capabilities and behaviors of AI devices within AI device networks by sharing user-selected portions of a knowledge corpus with other AI device networks. Selectively sharing parameters, learned behaviors, capabilities, and features of the knowledge corpus allows for AI devices within a second AI device network to mimic, clone or recreate the performance or behaviors of AI devices operating within the environment of a first AI device network. Users can create portable nodes that travel with the user and upon connecting with the second device network, identify AI devices that can be modified using the portions of the knowledge corpus to recreate selected portions of the first AI device network within the environment of the second AI device network either permanently or for a user-selected amount of time.

Abstract: A processor may receive an input dataset. The input dataset may include a plurality of construction components and one or more performance factors of the building/structure. A processor may generate a digital twin of the building/structure using the input dataset. A processor may simulate, using the digital twin, one or more features of the building/structure. The simulating may include a forecast having one or more predicted conditions associated with the building/structure.

Abstract: Communications are managed and prioritized by a machine learning process in a vehicle with automated driver assistance. It is detected that the vehicle is currently being operated in manual mode by a human driver. It is detected that a telecommunication device located within the vehicle is receiving a communication. The communication is classified according to a priority. The communication is acted upon based on the priority classification. The driver state is assessed at the conclusion of the communication. The vehicle returns to the manual driving mode if the driver state is compatible with the manual driving mode.

Abstract: One or more computer processors detect a computing device within a proximity to a rollable device. The one or more computer processors determine a location and an orientation of the rollable device relative to the computing device. The one or more computer processors attach the rollable device to the computing device utilizing the set of biometric locks engaged programmatically such that at least one side of the rollable device is locked and hinged to the computing device. The one or more computer processors responsive to the rollable device attached to a side of the computing device, extend a display area of the computing device to the rollable device.

Abstract: Described are mechanisms for multi-nozzle additive manufacturing. The mechanisms include a three-dimensional printer including a primary print head with a primary nozzle. The three-dimensional printer further includes a nozzle print head configured to print different nozzles for additive manufacturing of an object. The three-dimensional printer further includes a secondary nozzle printed by the nozzle print head, and the three-dimensional printer is configured to print the object using the primary print head, the primary nozzle, and the secondary nozzle.

Abstract: A computer is used to generate dynamic supply chain delivery options for a product. Data is received at the computer, regarding a delivery of a product to a customer, the delivery is implemented using a delivery system. A change in a delivery time or location of the product is determined using the computer based on updated data received at the computer. A simulation is generated, using the computer, of simulated delivery plans based on the received data and the updated data. The simulated delivery plans are evaluated to determine an updated delivery plan based on parameters. The updated delivery plan is selected based on the parameters, and communicated to the delivery system.

Abstract: Information based on an action performed relating to a portion of code of an application stored using a code repository is obtained. The portion of code is dynamically aligned with at least one component of a reference architecture relating to the application. A correlation exists between the portion of code of the code repository and the reference architecture. Based on the information, navigating is automatically performed to a specified location. The specified location is a selected area in the code repository or a selected area in the reference architecture.

Abstract: A processor may receive application data associated with an application domain architecture. The processor may receive application data associated with an application architecture, wherein the application architecture includes at least one application. The processor may analyze application data for one or more application portions. The processor may identify a level of commonality for each of the one or more application portions. The processor may determine whether the level of commonality of at least two of the one or more application portions exceeds a threshold level. The processor may remove at least one of the at least two of the one or more application portions determined to exceed the threshold level.

Abstract: According to one embodiment, a method, computer system, and computer program product for contextual accessway opening is provided. The embodiment may include determining an occurrence of an activity utilizing a vehicle access point is to occur within a preconfigured period of time. The embodiment may also include identifying a contextual orientation of a door of the vehicle access point based on environmental data and historical data. The embodiment may further include generating a plan to orient the door according to the identified contextual orientation. The embodiment may also include performing the generated plan.

Abstract: A method, computer program, and computer system are provided for correcting holographic content to be displayed on a foldable mobile device. The method, computer program, and computer system may include identifying holographic content to be displayed on two display regions of a foldable mobile device. An angle between the two display regions of the foldable mobile device is calculated, and a determination is made as to whether the holographic content on each of the two display regions overlaps based on the calculated angle. The holographic content to be displayed is updated based on applying one or more geometric transformations to the holographic content corresponding to determining the holographic content overlaps, and the updated holographic content is displayed as a three-dimensional holographic image.

Abstract: A computer-implemented method includes receiving an image of an area, identifying an item in the area, determining an intended color of the item according to a predefined color code, analyzing the image for determining if the intended color of the item is diminished on and/or absent from the item, and outputting a mixed reality (MR) image of the area in which the intended color is overlayed on the item in response to determining that the intended color of the item is diminished and/or absent.