Abstract: A computer-implemented method for generating synthetic data. A processor set transforms data in a dataset into a set of new data using a number of transformation techniques identified based on data types for the data. The processor set applies a noise function to the set of new data to generate the synthetic data. The processor set creates a first probability distribution based on the data and a second probability distribution based on the synthetic data. The processor set compares the first probability distribution and the second probability distribution to generate a similarity score. The processor set determines whether the similarity score is within a threshold, where the threshold comprises an upper boundary and a lower boundary. In response to determining that the similarity score is within the threshold, the processor set outputs the synthetic data.

Abstract: A machine learning-based processor utilization prediction process is provided which includes training a processor utilization model using system log data, code feature data, and processor-associated data of a system to, at least in part, predict processor utilization to execute application code on the system. In addition, the process includes generating, using the processor utilization model, a processor utilization simulation for the system to execute the application code, and initiating an action based on the processor utilization simulation for the system to execute the application code.

Abstract: A computer-implemented method for document concatenation and ontological structuring. The method includes identifying a downloaded file and determining whether the downloaded file is associated with one or more saved files. Based on determining that the downloaded file is associated with the one or more saved files, developing an ontological structure storing the downloaded file and the one or more saved files.

Abstract: An embodiment trains a machine-learning model using a first training corpus of general items indicative of varying levels of confidence. The embodiment also prepares a second training corpus that includes domain-specific items indicative of varying levels of confidence extracted from communications from members of a project group associated with a project. The embodiment retrains the machine-learning model using the second training corpus and generates a confidence score for the project based on confidence values assigned by the machine-learning model to each of a plurality of project-related communication items from members of the project group. The embodiment also detects that the confidence score is below a predetermined threshold confidence level and, in response, initiates a communication to members of the project group conveying information regarding an automated remedial action for the project.

Abstract: A computer-implemented method for document concatenation and ontological structuring. The method includes identifying a downloaded file and determining whether the downloaded file is associated with one or more saved files. Based on determining that the downloaded file is associated with the one or more saved files, developing an ontological structure storing the downloaded file and the one or more saved files.

Abstract: An embodiment senses a survey sequence, responsive to the sensed survey sequence, inputs the sensed survey sequence into a prediction model. The embodiment comprises a prediction model wherein the prediction model comprises training a hidden Markov model on a previously administered survey with a corresponding response status as a hidden status and a corresponding linguistic metric as an observation. The embodiment computes a probability of a response status of the sensed survey sequence as an output of the prediction model based at least in part on the previously administered survey.

Abstract: An approach for directing a chat agent for an online discussion is provided. A processor retrieves message data from a messaging program. A processor identifies at least one topic present in the message data. A processor, responsive to a determination that the at least one topic is a primary topic, updates the chat agent with the primary topic. A processor modifies message data based on the determined primary topic.

Abstract: A computer-implemented method includes: receiving, by a computer device and from a user device, a draft social media message; determining, by the computer device and based on the receiving, data of an Internet of Things (IoT) device that is related to the draft social media message; generating, by the computer device and based on the determining, a suggested social media message that includes the data of the IoT device; and transmitting, by the computer device, the suggested social media message to the user device.

Abstract: An augmented or virtual reality (AR/VR) system provides an AR/VR environment in which multiple users interact and includes: a server supporting the AR/VR environment; a Chat Discord Amelioration Model (CDM) integrated with the AR/VR environment; a network interface for interfacing the multiple users with the AR/VR environment; a topic analyzer, comprising a probabilistic topic model, to generate a topic analysis based on interaction between the multiple users in the AR/VR environment, the CDM to use the topic analysis in determining misalignment in a interaction between the multiple users; and a database. The CDM receives data collected from the AR/VR environment, including data on interaction between the multiple users in the AR/VR environment. The CDM determines misalignment in the interaction between the multiple users in the AR/VR environment and generates an amelioration for the misalignment and output the amelioration to one or more of the users via the AR/VR environment.

Abstract: Dynamically adjusting dimensions of a key of a computer-generated keyboard interface of a computing device can include capturing, at a computer, biometric data based on use of a computer-generated keyboard interface by a user. The biometric data can include dimensional data about a digit of the user with respect to a digit impression of the digit on a key of a plurality of keys of the keyboard interface. The biometric data can be analyzed and the analysis can include comparing the biometric data of the digit to key dimensions of the key of the plurality of keys of the keyboard interface. A computer model can be generated based on the analysis of the biometric data, and the dimensions of the key adjusted based on the computer model.

Abstract: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

Abstract: According to one embodiment, a method, computer system, and computer program product for augmenting a digital audio representation of a voice is provided. The embodiment may include identifying a current voice waveform of a user. The current voice waveform corresponds to captured speech output of the user. The embodiment may include comparing one or more frequency components of the current voice waveform to one or more corresponding frequency components of a baseline voice waveform of the user. In response to determining that at least one of the one or more frequency components of the current waveform fail a threshold degree of match to at least one corresponding frequency component of the baseline voice waveform, the embodiment may include augmenting the captured speech output via a generative artificial intelligence (AI) voice model trained to produce speech which mimics a voice and a speaking style of the user.

Abstract: Computer generated password criteria generated in response to a required password change can include detecting a request for a new password for a program. A password criteria for the new password is generated, which is different than a previous password criteria. A submitted new password is received and a determination is made when the submitted new password meets each of the password criteria for the new password. Responsive to determining the submitted new password meets each of the password criteria for the new password, access is allowed to the program.

Abstract: Techniques are described with respect to a system, method, and computer program product for visualizing optimal augmented reality (AR) assistance. An associated method includes receiving a plurality of object data of at least one object associated with a user; generating an optimal assistance model based on analysis of the plurality of object data; predicting a plurality of object metrics of the object based on the optimal assistance model; and visualizing the plurality of object metrics in a virtual environment associated the user.

Abstract: According to one embodiment, a method, computer system, and computer program product for 3D printing is provided. The present invention may include identifying one or more physical objects to be infused within an object being 3D printed; generating at least one digital model of the one or more identified physical objects; analyzing a digital model of the object being 3D printed; determining one or more identified physical object that can be infused within the object being 3D printed; modifying the digital model of the object being 3D printed to comprise an internal physical object infused within the object being 3D printed; and printing the object being 3D printed over the internal physical object. Additionally, according to one embodiment, a method for manufacturing a three-dimensional product is provided. Additionally, according to one embodiment, a data processing device for 3D printing is provided.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include obtaining social interaction data for a user and monitoring a system for activity of the user. The operations may include analyzing the activity and the social interaction data to obtain an analysis. The operations may include performing statistical linear regression on the activity and the social interaction data to obtain statistical linear regression data. The operations may include deriving a task clustering model based on the analysis and the statistical linear regression data.

Abstract: According to one embodiment, a method, computer system, and computer program product for adjusting an audible area of an avatar's voice is provided. The present invention may include detecting an available state of a user participating in a mixed-reality environment; generating behavior for a user avatar representing the user in the mixed-reality environment; controlling the user avatar to perform the generated behavior; monitoring the mixed-reality environment to identify if a participant is interacting with the user avatar; and responsive to detecting an interaction between a participant and the user avatar, notifying the user of the detected interaction.

Abstract: Migrating digital content is provided. A content migration confidence score is generated, using a content migration machine learning model, for migrating digital content accessed by a user in a source data repository to a target data repository of a plurality of data repositories that contains a related topic to a topic corresponding to the digital content accessed by the user based on an analysis of information regarding user engagement activity with the digital content accessed by the user. Migration of the digital content accessed by the user in the source data repository to the target data repository containing the related topic to the topic corresponding to the digital content accessed by the user is executed, using the content migration machine learning model, in response to determining that the content migration confidence score is greater than a user-defined minimum content migration confidence score threshold level.

Abstract: According to one embodiment, a method, computer system, and computer program product for muted participant replay is provided. The embodiment may include, in response to determining a user is muted while speaking to one or more other participants of a web conference, capturing a recording of audio received by a microphone associated with the user. The embodiment may also include presenting a notification to the user conveying the user is on mute while presenting to the one or more other participants, where the notification includes two or more prompts which require a user response. The embodiment may further include receiving the user response to each prompt. The embodiment may also include, in response to receiving user responses to unmute and play the recording, unmuting an audio feed from the user to the one or more other participants and playing the recording for the one or more other participants.

Abstract: According to one embodiment, a method, computer system, and computer program product for explaining discourse is provided. The embodiment may include identifying one or more skill levels for one or more users. The embodiment may also include identifying a complexity level corresponding to a piece of content. The embodiment may further include determining an explanation level for the piece of content based on the complexity level of the piece of content and a target skill level from the one or more skill levels. The embodiment may also include generating an explanation for the piece of content according to the explanation level. The embodiment may further include providing the explanation to a target user.