Abstract: Systems and methods for digitally grouping users are disclosed. A method includes: receiving user attribute information from a user computer device and service provider attribute information from a service provider computer device; analyzing the user attribute information and the service provider attribute information based on the receiving; classifying the user attribute information and the service provider attribute information into a digital user group based on the analyzing; and scheduling an programming event for a user of the user computer device based on the classifying.

Abstract: A method and system for using vocal patterns of a user for modifying an electronic dictionary is provided. The method includes continuously retrieving vocal communications of a user and converting the vocal communications into text data. Common terms communicated by the user are selected from the text data and resulting linguistic patterns are determined. In response, a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Abstract: Disambiguation of search keywords to expert systems is performed through the application of a semantic ranking function to determine a classification category with confidence for a given query. The semantic ranking function is executed through an application of a semantic distance distribution profile score through analysis of user problem statement (UPS) with nodes in the taxonomy in the same vector space to create a search that combines a user problem statement and a taxonomical node in the search engine index. The distribution profile score calculation is provenance influenced to derive geographic, cultural, and demographic provenance for a user problem statement.

Abstract: Techniques are described with respect to managing user movement. An associated method includes constructing a machine learning knowledge model based upon medical data from a plurality of individuals and medical data specific to a user, collecting mobility device sensor data from a plurality of mobility device sensors connected to at least one mobility device associated with the user, and collecting biometric sensor data from a plurality of biometric sensors associated with the user. The method further includes analyzing the mobility device sensor data in view of the biometric sensor data via the machine learning knowledge model to determine a plurality of mobility parameters for the user and determining at least one mobility recommendation for a transport activity in accordance with the plurality of mobility parameters. In an embodiment, the method further includes adapting at least one augmented reality device to digitally represent the at least one mobility recommendation.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: predicting an upcoming communication content in a current channel based on learning input data from a plurality of sources relevant to a communication activity of a user. A user response to the predicted content is assessed and a communication channel model for the factors including the input data is selected. A user satisfaction level with the current channel is checked against a predefined threshold for the selected communication channel model. For the current channel that is less than satisfactory, an adaptive action is taken to adapt the current channel to another for the user.

Abstract: A method of batch processing that includes registering item types to be processed by a batch management system including care instructions for the item types; recording batch items being added to a batch processing machine; and determining compatibility of at least one of each of said batch items being added to the batch processing machine to a total batch with an item to be processed to registered item match generator of said batch management system. Determining compatibility includes matching at least one of each item being added to the batch processing machine to the care instructions of the registered item types. The method may further include reporting compatibility of at least one of each item being added to the batch processing machine.

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: In an approach for augmented reality, a processor captures an object, via a sensor, that has captured an attention of a user. A processor injects the object in a virtualized view into an augmented reality simulation. A processor modifies the augmented reality simulation around the object in the virtualized view in a non-intrusive way.

Abstract: A user may be aided in modifying a product that is an assemblage of parts. This aid may involve a processor obtaining images of a target part captured by the user on a mobile device camera. The processor may compare, based on the captured images and a plurality of images of identified parts, the target part to the identified parts. Based on the comparison, the processor may determine an identity of the target part. This aid may also involve a processor obtaining images of a first configuration of a partial assembly of the product captured by a mobile device camera. The processor may compare, based on the captured images, the first configuration to a correct configuration of the partial assembly. Based on the comparison, the processor may determine that the first configuration does not match the correct configuration and may notify the user accordingly.

Abstract: In an approach for augmented reality, a processor captures an object, via a sensor, that has captured an attention of a user. A processor injects the object in a virtualized view into an augmented reality simulation. A processor modifies the augmented reality simulation around the object in the virtualized view in a non-intrusive way.

Abstract: A container includes a plurality of panels connected together at fold lines configured for extending at least partially around an interior space. The panels include a front panel, a first side panel, a back panel and a second side panel. The back panel includes a first back portion and a second back portion. At least one of the first back portion or the second back portion is free from openings. A shelf panel is foldably connected to the front panel. The first back portion is adhered to the shelf panel.

Abstract: A method, computer program product, and a system where a processor(s) of a computing device identifies at least two displays coupled to the processor(s) to render visual objects to a user of the computing device, like a cursor, and processor(s) obtains instructions to render the cursor in various locations on the displays via an input device. The processor(s) obtain a display layout for the displays and resolutions of displays and generates an initial virtual desktop that includes physical real estate of the displays where the processor(s) renders visual objects. The processor(s) obtains a request and generates a simulacrum of the displays, in virtual space. The processor(s) displays, on a portion of the virtual desktop, the simulacrum. The processor(s) obtains, via the input device, a selection of a location on the simulacrum and automatically moves the cursor to a location on the virtual desktop that corresponds to the selected location.

Abstract: A method in which a user's location with respect to a border is received and if the user is likely to cross the border, a responsive action may be taken automatically and by machine logic. Further, items in the user's possession may be received along with a data set indicating that an item in a first entity is not permitted in a second entity. If it is determined that the user is likely to cross the border with the not permitted item, a notification may be sent to a device of the user that the item is not permitted in the second entity.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: activating a streaming media recording buffer that records streaming media of an online conference, the online conference having first second and third user online conference participant users; examining data to return an action decision, the examining data to return an action decision including examining data of the streaming media recording buffer to identify an anomalous sound represented in the recorded media stream data of the streaming media recording buffer; returning an action decision based on the examining data to return an action decision, the action decision being an action to mitigate the anomalous sound; and providing one or more output to mitigate the anomalous sound in accordance with the returned action decision.

Abstract: Automated configuring of system settings of a computer for a peripheral device(s) is provided. The configuring process includes determining, by the computer, that a peripheral device has been connected to the computer, and based on the determining, ascertaining profile-related data for use in configuring computer system settings for the peripheral device connected to the computer. The ascertained profile-related data is used to identify, by the computer, a settings profile for the peripheral device from saved settings profiles for one or more peripheral devices. Based on the identified settings profile, the computer system settings for the peripheral device are configured.

Abstract: An embodiment includes receiving, by a processor, a sensor signal from a monitoring sensor during a scheduled monitoring session for monitoring a first user. An embodiment includes processing, by the processor, the sensor signal using a machine learning (ML) model such that the ML model outputs an indication of whether the first user is experiencing a potential emergency. An embodiment includes performing, by the processor in response to the ML model indicating that the first user is experiencing a potential emergency, a verification routine that includes transmitting a verification request and, upon detecting a lack of response to the verification request within a predetermined amount of time, confirming the potential emergency as an actual emergency. An embodiment includes requesting, by the processor automatically in response to the verification routine confirming that the potential emergency is an actual emergency, dispatch of emergency services to a location of the first user.

Abstract: A protective action system and method includes detecting the impending weather conditions for a geographic region, and in response to detecting the impending weather conditions, determining that an initial location of the autonomous vehicle is located in the geographic region affected by the impending weather conditions, calculating a current risk of damage to the autonomous vehicle based on the impending weather conditions in the geographic region and a current state of the autonomous vehicle, comparing the current risk of damage to a threshold of acceptable risk of damage, wherein, the current risk of damage exceeds a threshold of acceptable risk, assessing a user calendar to determine that taking a protective action by the autonomous vehicle is acceptable, and instructing the autonomous vehicle to take the protective action so that the current state of the autonomous vehicle is changed to a safe state to avoid damage from the impending weather conditions.

Abstract: A method, apparatus, system, and computer program product for identifying a recommendation for an activity. Biometric data for a set of biometric parameters is received for a user. A set of comparable users having saved biometric data for the set of biometric parameters that are comparable to the biometric data for the set of biometric parameters for a user is identified. The recommendation for the activity is determined based on prior recommendations from the set of comparable users for the activity. The recommendation for the activity is sent to a client device, wherein the client device displays the recommendation for the activity to the user.

Abstract: A method and system to assist people traveling together through a transport hub. Access to personal data is provided for members of a group of people traveling together through the transport hub for a trip. A preferred route is mapped, from a current location of the group, for each person to travel through the transport hub. A group route, which is route to be commonly used by each person of the group, is selected. Sub-groups of members are selected to travel through the transport hub together in response to matching personal data. The personal data, travel data for the group, and transport hub data corresponding to the transport hub are monitored. Each person is alerted, in response to the monitored values, to begin moving from the current location towards a departure location along the selected group route to arrive at the departure location at a desired arrival time.

Abstract: A method and system for dynamically switching between at least two cameras. A first and second video input received from a first and second camera of the at least two cameras to identify first and second directional parameters of a face of a user, respectively. A first algorithm is executed on the first and second directional parameters to identify a first and second percentage associated with facial coverage of the user, respectively. It is determined that the first percentage exceeds the second percentage and in response, the first video input is utilized to capture the face of the user and the second video input is disabled. Either the first and second cameras are attached to the device or one camera of the first and second cameras is attached to the device and another camera of the first and second cameras is attached to a monitor associated with the device.