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, 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: 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: 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.

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: Provided are techniques for training Machine Learning (ML) models to automatically detect and correct contextual and logical errors. A plurality of machine learning models are trained. In response to receiving content, the content is parsed into different elements. One or more knowledge graphs are built based on the different elements. One or more machine learning models are selected from the plurality of machine learning models based on the one or more knowledge graphs and custom criteria in a user profile. The selected one or more machine learning models are used to identify at least one of a contextual error and a logical error and a correction for the at least one of the contextual error and the logical error. The correction for the at least one of the contextual error and the logical error is applied to generate corrected content. The corrected content is rendered.

Abstract: Providing individualized answers to questions including receiving a question input by a user, identifying a topic of the question and a user's reading level, mapping the topic to an answer generator and knowledge graph according to the user's reading level. Also including generating a response to the question according to the knowledge graph and providing the response to the user.

Abstract: A method for detecting content generated by artificial intelligence is disclosed. In one embodiment, such a method includes monitoring interaction between a user and a generative AI model. The method intercepts a response returned from the generative AI model to the user and embeds, within the response prior to its return to the user, codes that are invisible to the user when viewing the response. In certain embodiments, these codes are embedded within the response in a particular invisible code insertion pattern to indicate that the response was generated by the generative AI model. The method returns the response to the user for viewing. A third party may utilize the embedded codes to determine whether the response was generated by the generative AI model. A corresponding system and computer program product are also disclosed herein.

Abstract: VM file management includes detecting a user request to access to a virtual machine (VM) and searching a pre-defined list to determine whether the user requesting access is identified on the list. If so, a file-level snapshot is generated prior to enabling modification of a VM file by the user. The file-level snapshot includes a user attribute and is added as the top layer of a stack. The user attribute indicates a role of the user for whom the file-level snapshot is created. Each layer of the stack contains one or more other file-level snapshots. The VM file is written in the file's entirety to the snapshot in response to the user modifying the VM file. Based on the user attribute of each snapshot, a set of snapshots is selected from the stack, and the VM is modified by merging the VM files belonging to the set of snapshots selected.

Abstract: According to one embodiment, a method, computer system, and computer program product for context-aware voice self-authorization is provided. The embodiment may include identifying a speaker in audio data using two or more authentication techniques. The embodiment may also include capturing contextual information related to the audio data. The embodiment may further include encoding the contextual information into an audible voice. The embodiment may also include converting the audible voice to an inaudible sound frequency. The embodiment may further include embedding the inaudible sound frequency voice with audio data.

Abstract: The present disclosure is directed to semiconductor packages, and methods for making them, which includes a substrate with a top surface and a bottom surface, a substrate recess in the bottom surface of the substrate, a first device positioned over the top surface of the substrate, which has the first device at least partially overlapping the substrate recess, a mold material in the substrate recess, which has the mold material overlapping the bottom surface of the substrate adjacent to the substrate recess, a second device positioned in the substrate recess, and a plurality of interconnect vias in the substrate, which has at least one of the plurality interconnect vias coupled to the first and second devices to provide a direct signal connection therebetween that minimizes signal latency.

Abstract: An anti-spambot application that incorporates mechanisms for human-computer interaction is configured. In response to determining that a telephonic call from a caller to a callee is a spam call, the process switches to a mode in which the anti-spambot application initiates a conversation with the caller. A script is selected from a predetermined set of scripts based on content included in the telephonic call. Synthesized speech is generated from the script, based on voice characteristics of the callee, where the synthesized speech is used for conversing with the caller.

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 validating answers from an artificial intelligence chatbot. An answer is received to a question submitted to the artificial intelligence chatbot. A database is searched using keywords from the answer to obtain a reference for the answer. A similarity score is calculated between the answer and the reference. A determination is made as to whether the similarity score exceeds a threshold value. Answer information indicates that the answer is valid in response to the similarity score exceeding the threshold value or that the answer is invalid in response to the similarity score not exceeding the threshold value. An answer report indicating whether the answer is valid or invalid to transmit to a user a user that submitted the question to render.

Abstract: A method for automatically generating, correlating, and presenting visual content along with an audio stream associated with an audiobook is provided. The method may further include, in response to receiving an audio stream, automatically segmenting the audio stream into audio segments. The method may also include automatically identifying keywords, topics, and entities associated with each audio segment. The method may further include automatically identifying and retrieving visual content related to the identified keywords, topics, and entities of each audio segment from a visual content repository. The method may also include automatically integrating the identified and retrieved visual content with an audio segment. The method may further include automatically generating and displaying the visual content on the display at the designated time during play of the audio stream.

Abstract: An index is provided of content at timestamps of frames in a video. A search request is received with search content. A determination is made of matching content in the index, associated with a timestamp, matching the search content. A computer addressable link to the timestamp in the index associated with the matching content is returned to the search request. Selection of the computer addressable link causes the video to play from the timestamp.

Abstract: A computer-implemented method, according to various approaches, includes parsing a first collection of data into a plurality of elements. A first sub-set of the elements includes text entry data and a second sub-set of the elements includes IoT data. In response to a determination that the text entry data does not satisfy a predetermined threshold of specificity, the first collection of data is rephrased into a second collection of data. The method further includes causing the second collection of data to be sent to a determined chatbot server and causing a first output of the determined chatbot server to be returned to a first user device. The first output is an answer to the second collection of data.

Abstract: Distributed rendering of digital objects in augmented reality environments includes a method, system, and computer program product that are configured to: receive a first space matrix from a first augmented reality (AR) device; receive a second space matrix from a second AR device; perform distributed rendering of a digital object for the first AR device and the second AR device in response to receiving the first space matrix and the second space matrix; transmit first image data to the first AR device, the first image data defining the first version of the first part of the digital object and the second part of the digital object; and transmit second image data to the second AR device, the second image data defining the second version of the first part of the digital object and the second part of the digital object.

Abstract: A computer-implemented method dynamically categorizes email on a client device. The method includes identifying one or more email servers associated with a user. The method also includes analyzing, for the user, a set of emails associated with the one or more email servers. The method further includes identifying, for each email, at least one category based on the content of the email. The method includes generating at least one virtualized folder, and consolidating, in response to the generating, the set of emails into the at least one virtualized folder by moving the emails into a folder based on a first of the at least one categories.

Abstract: A method includes: receiving, by a processor set, context data from one or more Internet of Things (IoT) sensors; identifying, by the processor set, one or more objects in a frame of a video stream, thereby determining identified objects; classifying, by the processor set, the identified objects, thereby determining classified objects; prioritizing, by the processor set, the classified objects using the context data, thereby determining prioritized objects; selecting, by the processor set, an object from the prioritized objects; enhancing, by the processor set, the frame of the video stream based on the selected object; and rendering, by the processor set, the enhanced frame on a display of a visual enhancement device.