Abstract: Provided are a computer program product, system, and method for analyzing user activity data to generate activity information for use by generative artificial intelligence (AI) to generate reports. Activity data includes information on an activity in which a monitored user engages, including a time period during which the monitored user was engaged in the activity and a description of the activity. An activity categorizer comprising a machine learning model classifier processes the time period and the description of the activity; to output an activity category. A status report generator generates a status report for the activity category, including the activity category of the activity and key attributes of the activity category including the time spent on the activity category and information on the activity. The status report is updated to a database.

Abstract: An embodiment for personalizing target content in an outdoor digital display is provided. The embodiment may include receiving an opt-in from a user and digital out-of-home (DOOH) content from one or more IoT-enabled digital displays within a pre-defined range of the user. The embodiment may also include causing a mobile device of the user to connect to the one or more IoT-enabled digital displays within the pre-defined range. The embodiment may further include identifying one or more target interest parameters associated with the user. The embodiment may also include in response to determining the DOOH content from at least one IoT-enabled digital display of the one or more IoT-enabled digital displays is relevant to the user, displaying the DOOH content from the at least one IoT-enabled digital display that is relevant to the user on the connected mobile device of the user.

Abstract: Techniques are described with respect to a system, method, and computer program product for managing a virtual environment context. An associated method includes analyzing a plurality of avatars associated with the virtual environment; ranking each avatar of the plurality of avatars based on the analysis; grouping at least a subset of the avatars based on a scoring of each avatar associated with the ranking; and modifying the virtual environment for the subset in accordance with the virtual environment context based on the analysis.

Abstract: One or more processors to add identification information of a device to an initialized augmented device retrieval assistance (ADRA) data structure. Received data from ADRA clients monitoring the device within a location includes a network connection status and a time-based position of the device. The ADRA clients dynamically update the ADRA data structure with the location, a current position of the device, and a timeframe of the data from the monitoring by the ADRA clients. A request for ADR assistance is received that includes an identification of a target device, the timeframe, and a location. Location images are generated that include a location layout or floor plan. A time-spatial axis is rendered and sent to an ADRA client and includes location images and target device position within the respective images associated with a specific timeframe on the time-spatial axis.

Abstract: Aspects of the present disclosure relate to augmentation for web conference participants. An augmentation rule set defining mappings between augmentations and participant characteristics can be received, where the augmentation rule set is implemented for a web conference to determine augmentations to apply onto participant video feeds within the web conference. A plurality of participants within the web conference can be identified. The web conference can be analyzed to determine participant characteristics of each participant of the plurality within the web conference. Augmentation can be applied on respective video feeds of each participant according to the augmentation rule set based on the determined characteristics of each participant.

Abstract: A computer-implemented method to send targeted messages based on a driver's intent. The method includes identifying, by a sending vehicle, one or more additional vehicles in the vicinity of the sending vehicle, including a first vehicle. Monitoring a set of data related to a current scenario for the sending vehicle and determining, based on a current scenario, an intent score for the sending vehicle. The method includes activating a horn device associated with the sending vehicle. The method further includes determining, in response to the activating, the intent score is above an intent threshold for the first vehicle. The method includes generating, in response to the intent score being above the intent threshold, a message; and sending, to a target vehicle, the message. Further aspects of the present disclosure are directed to systems and computer program products containing functionality consistent with the method described above.

Abstract: In an approach to improve the privacy of chat groups within a virtual world, in response to identifying a private chat group has been created between two or more users, embodiments collect, by an internet of things (IoT) sensor set, a voice for each user in the private chat group. Further, embodiments analyze, by an analysis module, the collected voice, an intonation associated with the collected voice and an original pronunciation associated with the collected voice, and generate a de-content pronunciation based on the analysis of the collected voice, the intonation, and the original pronunciation. Additionally, embodiments output, by the IoT sensor set, the intonation and the original pronunciation to the two or more users in the private chat group and output, by the IoT sensor set and a client computer, the intonation and the de-content pronunciation to one or more users outside the private chat group.

Abstract: Mechanisms are provided to consolidate event data structures in an electronic calendar. An event data structure for an event is received and features are extracted from the event data structure and another having an overlapping temporal location in the electronic calendar. The event data structure is classified as to whether it is duplicative of the other event data structure and the event data structures are rendered based on the classification. This rendering may involve consolidating the event data structures into a consolidated event data structure if they are duplicative, and prioritizing the event data structures relative to each other if they are not duplicative.

Abstract: A computer-implemented method, in accordance with one embodiment, includes detecting cultural context and accents of speakers portrayed in a video stream and/or an audience of the video stream. Accent tags are selected for the speakers according to the cultural context and accents of the speakers and/or the audience of the video stream. A textual representation of spoken words of the speakers is translated from a source language to a target language. The accent tags are applied to the textual representation of the spoken words in the target language according to the speakers corresponding to the textual representation of the spoken words in the target language. Speech lip movements of the speakers portrayed in the video stream are modified to match the target language and the locale accent tags. A translated video stream having the speakers appearing to speak in the target language with the modified lip movements is output.

Abstract: Provided are a computer program product, system, and method for data analysis of interaction information for interacting participants to determine a connection intention. An audio and/or a visual feed collected at an event is processed to determine whether interacting participants at the event are engaged in an interaction. A duration of the interaction, attributes of the interaction, and personal profile information of the interacting participants are determined. The duration of the interaction, the attributes of the interaction, and the personal profile information are processed to determine a connection intention indicating whether the interacting participants should connect or should not connect. Requests for the interacting participants to connect are transmitted in response to determining the connection intention indicates the interacting participants should connect.

Abstract: A system may receive information about a user, track a gaze of the user on a user interface, generate a real-time gaze heat map for the user, feed information about the user and the real-time gaze heat map into a machine learning model, determine, using the machine learning model based on the information about the user and the real-time gaze heat map, conditional formatting rules for data displayed on the user interface, and format, based on the conditional formatting rules, the data displayed on the user interface.

Abstract: Dynamic vehicle assessment is provided. A baseline value of a vehicle is determined based on current market values of a set of vehicles similar to the vehicle with regard to similar year, make, model, and mileage. A percentage of deviation from the baseline value of the vehicle is determined based on a cost to repair a set of given parts of the vehicle predicted to fail within a defined time period. A real time actual market value of the vehicle is determined based on the percentage of deviation from the baseline value of the vehicle according to the cost to repair the set of given parts of the vehicle predicted to fail within the defined time period. The real time actual market value of the vehicle is sent to a requester via a network in response to receiving a request for an assessment of the vehicle.

Abstract: A request manager for managing service requests in a trust environment, where the trust environment includes a number of devices configured to communicate within the environment including Internet of Things (IoT) devices. The request manager includes: a processor; a memory storing programing for the processor to manage service requests; and a network connection for the processor to communicate with a client device to receive a service request and with devices in the trust environment providing services to complete the service request. The programming causes the request manager to receive a service request from a client device and determine how to complete the service request with the services available within the trust environment.

Abstract: Dynamic vehicle maintenance management is provided. Performance of each subsystem of a plurality of subsystems corresponding to a vehicle and driving behavior of a user of the vehicle is monitored by performing an analysis of data collected from an IoT sensor system onboard the vehicle to detect any subsystem issues in the vehicle using a set of machine learning models. An issue is detected in a subsystem of the vehicle based on the analysis of the data collected from the IoT sensor system onboard the vehicle. Maintenance corresponding to the issue detected in the subsystem of the vehicle is scheduled at a date, time, and location based on availability of the user of the vehicle and a selected vehicle repair shop. A notification regarding the maintenance corresponding to the issue detected in the subsystem of the vehicle is sent to the user of the vehicle via a network.

Abstract: A catalyst contains a metal oxide, and a molecular sieve, in a crystal form, having a topological pore structure. The metal oxide is centrally distributed on the surface of the molecular sieve. Grains of the molecular sieve are exposed to at least three families of crystal planes. The family of crystal plane with the largest pore size in topology is occupied by the metal oxide by no more than 30%, preferably no more than 20%, or no more than 10%.

Abstract: Mechanisms are provided for simulating operating systems. The mechanisms train, for each operating system, a corresponding artificial intelligence (AI) computer model that learns, by way of machine learning training, patterns of input features of inputs to the operating system and corresponding responses from the operating system. A request to simulate a requested operating system is received along with a simulation input whose processing by the requested operating system is to be simulated. An AI computer model corresponding to the requested operating system is executed on the simulation input to simulate processing the simulation input to generate a simulated response. The simulated response is returned as a simulated output of the requested operating system responsive to the input.

Abstract: A computer-implemented method, according to one approach, includes: sending one or more instructions to apply an initial influencing factor to smart materials of a 4D object. Moreover, the 4D object is configured to deliver one or more microparticles from a start location to a target location along a delivery path in response to the initial influencing factor being applied to the smart materials. One or more instructions to monitor movement of the 4D object along the delivery path in response to applying the initial influencing factor to the smart materials are also sent. In response to determining the 4D object has deviated from the delivery path, one or more instructions to use one or more machine learning models to dynamically weight the initial influencing factor applied to the smart materials are further sent.

Abstract: A method, computer program product, and computer system are provided for recognizing animation through optical character recognition (OCR). Data corresponding to a video or animation containing one or more frames is received. Individual frames or representative images are extracted from the received data. Text in the extracted individual frames or representative images is recognized based on performing optical character recognition on the extracted individual frames or representative images. Relationships between the recognized text across multiple frames of the one or more frames are recognized. A textual or graphical representation of the video or animation is generated based on the identified relationships.

Abstract: A computer-implemented method, according to one approach, includes: receiving a request to deliver one or more microparticles from a start location to a target location along a delivery path. Available characteristic data corresponding to the request to deliver the one or more microparticles is also obtained. The characteristic data corresponds to 4D objects capable of delivering microparticles, the one or more microparticles, the delivery path, and one or more ambient environments along the delivery path. Furthermore, one or more machine learning models are used to analyze the available characteristic data and determine a 4D object that is configured to deliver the one or more microparticles to the target location in response to an influencing factor being applied to the 4D object.

Abstract: Provided are a computer program product, system, and method for processing participant input in a virtual meeting to determine effects to render in the virtual meeting. A natural language processor (NLP) processes a sentence to determine a structural representation of the sentence comprising a subject and object, which is processed to determine whether the object of the sentence comprises an object of recognition and the subject of the sentence is a participant in the virtual meeting. The structural representation of the sentence is processed to determine an attention level in response to determining that the structural representation of the sentence includes the object of recognition and the subject comprises a participant in the virtual meeting. In response to the attention level exceeding a threshold, a recognition attention effect is rendered in the virtual meeting associated with the attention level, observable by the participants of the virtual meeting.