Abstract: An embodiment for a method of supporting neurodivergent comprehension of content by proactively identifying and transforming predicted difficult comprehension areas for a given user. The embodiment may receive an activation command from a registered user. The embodiment may automatically identify, within displayed content, predicted difficult comprehension areas based on a series of preferences and behaviors associated with the registered user. The embodiment may mark a textual element associated with the predicted difficult comprehension areas that may be transformed to improve comprehensibility of the predicted difficult comprehension areas for the registered user. The embodiment may detect user interaction with the marked textual element. The embodiment may, in response to detecting user interaction with the marked textual element, transform the marked textual element and provide transformed content to the registered user.

Abstract: An embodiment for improved computer-implemented methods of recommending emotion icons. The embodiment may detect text associated with user activity within a connected messaging environment. The embodiment may, in response to detecting the text associated with user activity within the connected messaging environment, determine a context for the detected text based on at least location data, environment data, language context data, and historical data. The embodiment may generate a filtered series of emotion icons based on the context. The embodiment may display the filtered series of emotion icons to a user for selection.

Abstract: Described are techniques for appropriately gripping objects by robots. A target object (e.g., circuit board) is identified to be gripped by a robotic arm of a robot, such as a robot in an industrial facility. Upon identifying the target object to be gripped by the robotic arm, the attributes of the target object are determined. One or more pores of the robotic arm may then be selected to be enabled to secrete an adhesive based on the attributes of the target object. Furthermore, the adhesion level corresponding to the amount of the adhesive to be secreted by the selected pores of the robotic arm is determined based on the attributes of the target object. The selected one or more pores of the robotic arm are then activated to secrete the adhesive according to the adhesion level in order to appropriately grip the target object by the robotic arm.

Abstract: An embodiment determines, by a collaboration mode transition engine, based on biometrics data and behavioral data, a cognitive level of a user associated with a first collaboration mode in a plurality of collaboration modes. The embodiment determines, by the collaboration mode transition engine, based on collaboration mode usage data associated with the first collaboration mode, a cognitive level threshold of the user for the first collaboration mode. The embodiment selects, by the collaboration mode transition engine, responsive to a determination that the cognitive level exceeds the cognitive level threshold, a second collaboration mode in the plurality of collaboration modes. The embodiment transitions, by the collaboration mode transition engine, to the second collaboration mode.

Abstract: A method, computer program product, and computer system for creating a virtual collaborative space within an intelligent workflow framework. One or more processors of a computer system identify the need for a virtual collaborative space where human interactions can occur to test or optimize the existing workflow and identify triggers for when the virtual collaborative space shall be initiated based on historical learning models trained from instrumentation data generated by the workflow. Responsive to a trigger from the identified triggers, the one or more processors of the computer system alert a first user to enter the virtual collaborative space and initiate the virtual collaborative space. The one or more processors of the computer system replicate a scenario that activated the trigger including identifying parties of interest to the scenario and enable the first user to address an issue in the existing workflow that caused the trigger to occur.

Abstract: A computer-implemented method, according to one approach, includes: generating a multi-factor authentication challenge for a user in response to receiving a request from the user, The multi-factor authentication challenge includes a dynamic combination of available authentication factors corresponding to the user. The dynamic combination of authentication factors includes (i) at least one user defined authentication factor, (ii) at least one biometric authentication factor, and (iii) at least one activity-based authentication factor. Inputs are also received for the multi-factor authentication challenge, and a determination is made as to whether the inputs received satisfy the multi-factor authentication challenge.

Abstract: Techniques are described with respect to a system, method, and computer program product for optimizing a virtual avatar. An associated method includes analyzing a virtual environment in order to ascertain one or more skill gaps associated with the virtual avatar; receiving a plurality of avatar data; and redefining the virtual avatar by filling the one or more skill gaps based on the analysis and the plurality of avatar data.

Abstract: An approach for improving communications for hearing challenged individuals. The approach captures audio communication and video communication associated with a speaker presentation. The approach converts the audio communication to text. The approach sends the text to an augmented reality (AR) device, associated with a user having hearing challenges, as captions. The approach stores the audio communication, the video communication, and the captions for replay by the user.

Abstract: A computer-implemented method, system, and computer program product to create optimized maintenance plans to reduce machine downtime for IoT machine. The method may include determining one or more sets of minimum functionalities required to perform an activity. The method may also include determining machines capable of supporting the one or more sets of minimum functionalities. The method may also include determining a minimal level of maintenance for the machines. The method may also include generating a maintenance plan for one or more of the machines based on the minimal level of maintenance for the machines.

Abstract: A process for artificial intelligence (AI)-based intelligent workflow improvement monitors and records progressions of users through an intelligent workflow (IW). The IW includes computerized activities through which the users progress through interactions with the IW via graphical user interfaces. The process extracts features of the monitored and recorded progressions as reflected by the stored data records. The process builds and trains at least one AI model using the extracted features. The process generates, using the at least one AI model, customized recommendations for improvement of the IW. The customized recommendations include a training action for presentation to a user progressing though the IW. The process also outputs the customized recommendations. The outputting includes dynamically presenting the training action to the user on a graphical user interface through which the user interacts with the IW as part of progressing through the IW.

Abstract: Described are techniques for defect mitigation in additive manufacturing. The techniques including a system having one or more computer-readable storage media storing a sliced model file of an object to be manufactured and a machine learning model configured to predict an error in the sliced model file and generate corrective printing parameters. The system further includes a Fused Filament Fabrication (FFF) three-dimensional (3D) printer communicatively coupled to the one or more computer-readable storage media. The FFF 3D printer is configured to print the object according to the sliced model file and the corrective printing parameters.

Abstract: Embodiments herein describe monitoring the progress of a 3D printing job using a digital twin which can provide corrective actions in real time. The quality of a 3D printed object is dependent on the conditions of different components of the 3D printers such as a heating module, a nozzle, and the level of vibration in different parts, etc. To detect problematic conditions that may negatively impact the 3D printing job, a digital twin simulation of the 3D printer can detect or predict what types of defects have (or will) happen as the object is printed. That way, a corrective action can be taken while the object is printed to either prevent a defect or correct a defect in the 3D object.

Abstract: A computer-implemented method, system and computer program product for selectively recording metaverse collaboration content. Contextual boundaries to perform selective recording in a collaborative environment of a metaverse are received from a user. Contextual boundaries refer to designations in the collaborative environment, including participants and collaboration content being shared, based on the context of the collaborative environment. In addition to receiving contextual boundaries, a workflow sequence, which defines portions of the contextual boundaries to record, is received from the user. A workflow sequence refers to the order of the selective recording in the collaborative environment of the metaverse. Metaverse collaboration content in the collaborative environment is then recorded using a recording node sequence based on the workflow sequence. A second collaborative environment of the metaverse may then be created based on the recorded metaverse collaboration content.

Abstract: A computer implemented method that includes modeling an existing physical object as a computer based model including data representing physical dimensions of the physical object and material properties reflecting the materials of which the physical object is made, receiving a physical object usage data set including information about physical operations and/or ambient conditions, running a computer simulation on the computer based model of the physical object where the simulation includes computer simulation of the physical operations and/or ambient conditions included in the physical object usage data set, determining an area where a material defect zone on or in the physical object where a material defect is likely to occur in the physical object based on the running of the computer simulation, and applying self-healing material to the material defect zone of the physical object.

Abstract: An embodiment for a method of supporting neurodivergent comprehension of content by proactively identifying and transforming predicted difficult comprehension areas for a given user. The embodiment may receive an activation command from a registered user. The embodiment may automatically identify, within displayed content, predicted difficult comprehension areas based on a series of preferences and behaviors associated with the registered user. The embodiment may mark a textual element associated with the predicted difficult comprehension areas that may be transformed to improve comprehensibility of the predicted difficult comprehension areas for the registered user. The embodiment may detect user interaction with the marked textual element. The embodiment may, in response to detecting user interaction with the marked textual element, transform the marked textual element and provide transformed content to the registered user.

Abstract: Aspects of the present disclosure relate to save context capturing. An indication of a save of a version of software can be received. Contextual data associated with a user managing the version of the software can be associated with the save of the version of software, the contextual data captured during a timeframe temporally related to the save. The association between the contextual data and the save of the version of the software can be stored in a software versioning repository. The save of the version of the software and the associated contextual data can be retrieved in response to a predetermined condition or a request.

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: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: storing into a storage device a video data file; examining video file data defining the video data file, wherein the examining includes determining a relevancy of a section of the video data file; reducing a size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file; storing a reduced-size version of the video data file into the storage device, the reduced-size version of the video data file having a reduced size relative to the video data file by performance of the reducing the size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: storing into a storage device a video data file; examining video file data defining the video data file, wherein the examining includes determining a relevancy of a section of the video data file; reducing a size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file; storing a reduced-size version of the video data file into the storage device, the reduced-size version of the video data file having a reduced size relative to the video data file by performance of the reducing the size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file.

Abstract: In an approach to resource monitoring and allocation recommendation, a computer determines a work activity for a risk assessment. A computer determines one or more resources assigned to the work activity. A computer determines one or more current activities associated with the one or more resources assigned to the work activity. Based on the one or more resources assigned to the work activity and on the one or more current activities associated with the one or more resources assigned to the work activity, a computer determines a confidence level associated with successful completion of the work activity. A computer determines the confidence level does not exceed a pre-defined threshold. A computer determines one or more resource scenarios to improve the confidence level. A computer ranks the one or more resource scenarios. A computer generates a resource allocation recommendation based on the ranked one or more resource scenarios.