Abstract: Provided is a method, system, and computer program product for implementing automated pattern-based editing techniques using human-computer interaction (HCl) analysis. A processor may monitor, using HCl analysis, editing operations of a set of text of an electronic document. The processor may analyze the editing operations of the set of text to identify an editing pattern. The processor may search the electronic document to identify a similar set of text to be edited based on the identified editing pattern. The processor may generate, based on the editing pattern, an automated editing command script to perform the editing operations on the similar set of text. The processor may deploy the automated editing command script to apply the editing operations automatically to the similar set of text of the electronic document.

Abstract: Communication using light fidelity (LiFi) communication signals includes receiving LiFi communication signals from a light source. The LiFi communication signals are associated with a set of spectrum characteristics indicative of a set of chemical compounds. The set of chemical compounds is associated with the light source. The set of spectrum characteristics of the LiFi communication signals is analyzed. The set of spectrum characteristics of the LiFi communication signals is compared with a specified set of spectrum characteristics based on the analyzing of the set of spectrum characteristics. The LiFi communication signals are decoded based on the comparing. This enhances the security of data transmitted using the LiFi communication signals.

Abstract: Techniques are described with respect to a system, method, and computer product for a method for optimizing security in a virtual environment. An associated method includes tracking a plurality of activities associated with at least one avatar of the virtual environment and determining a plurality of contextual information associated with the plurality of activities. The method further including analyzing the plurality of activities based on the plurality of contextual information to determine a theme associated with the virtual environment and classifying the plurality of activities based on the analysis and theme.

Abstract: A computer implemented method manages a topology for a network computing system. A number of processor units determines tasks for a workload to be performed by computing devices in the network computing system. The number of processor units creates the topology for performing the tasks in the workload. The topology comprises nodes representing the tasks assigned to the computing devices. The nodes are connected to each other based on an execution order for the tasks, and the topology has alternative paths for performing the tasks for the workload. The number of processor units determines energy consumption for the alternative paths in the topology. The number of processor units selects a particular path from the alternative paths for performing the tasks for the workload based on the energy consumption for the alternative paths.

Abstract: A method, and associated system and computer program product, is disclosed that includes prompting a user to perform a first task within a virtual environment. The first task is suggestive of whether the user exhibits one or more symptoms of a set of predetermined symptoms indicative of a cognitive disorder. The method further includes assessing performance of the first task responsive to user inputs received from one or more input devices, and determining, based on the performance of the first task, whether performance of one or more additional tasks is needed to conclusively assess whether the user exhibits any of the one or more symptoms. The method further includes reporting, based on the performance of the first task and the performance of the one or more additional tasks when needed, an assessment of whether the user exhibits any of the one or more symptoms.

Abstract: A system may include a memory storing program instructions. A system may include a processor in communication with the memory, the processor being configured to execute the program instructions to perform processes comprising: receiving a videotelephony feed from a first videotelephony terminal, routing the videotelephony feed through a videotelephony controller comprising a translation module and a captioning module, translating, by the translating module, communication from a language used in the videotelephony feed into a language of a second videotelephony terminal generating a translation, captioning, by captioning module, the translation onto the videotelephony feed, delaying the videotelephony feed until the translating and captioning are completed for each segment of the videotelephony feed; and displaying the delayed videotelephony feed with captions to the second videotelephony terminal.

Abstract: A method, according to one approach, includes retrieving, from a knowledge graph, first information associated with first resources in a source language, and using the first information to generate sentences that detail a context of the first resources and relationships that the first resources have with second resources. The method further includes causing a fine-tuned large language model (LLM) to grade a first translation element, where the first translation element is a translation of a first portion of the first resources to a target language. The method further includes using the grade to validate the first translation element. A computer program product, according to another approach, includes one or more computer-readable storage media, and program instructions stored on the one or more storage media to perform the foregoing method.

Abstract: An embodiment includes responsive to receiving a request by a system, determining if the request is a write operation of a vector embedding to a block of a data store of the system. The embodiment includes performing the write operation of the vector embedding to the block of the data store wherein the block is determined according to a rule. The embodiment also includes extracting an identifier of the block and modifying a metadata value of the data store with the identifier and the rule.

Abstract: An embodiment includes responsive to receiving a request by a system, determining if the request is a write operation of a vector embedding to a block of a data store of the system. The embodiment includes performing the write operation of the vector embedding to the block of the data store wherein the block is determined according to a rule. The embodiment also includes extracting an identifier of the block and modifying a metadata value of the data store with the identifier and the rule.

Abstract: Authentication management by receiving a request to initiate an authentication from a computing device of a user, directing the request to a selected authentication service of a plurality of authentication services, wherein the selected authentication service is determined dynamically based on respective authentication metrics of the plurality of authentication services, receiving authentication information via the selected authentication service, and authenticating the user based on the received authentication information.

Abstract: A computer-implemented method, system and computer program product for scaling a resource of a Database as a Service (DBaaS) cluster in a cloud platform. User service requests from a service cluster to be processed by the DBaaS cluster are received. A first set of tracing data is generated by a service mesh, which facilitates service-to-service communication between the service cluster and the DBaaS cluster, from the user service requests. A second set of tracing data is generated by the DBaaS cluster from handling the user service requests. A dependency tree is then generated to discover application relationships to identify potential bottlenecks in nodes of the DBaaS cluster based on these sets of tracing data. The pod(s) of a DBaaS node are then scaled based on the dependency tree, which is used in part, to predict the utilization of the resources of the DBaaS node identified as being a potential bottleneck.

Abstract: A request to share an object is received within a virtualized screen sharing management application. A virtualized display for sharing the object is generated. The object is mapped to the virtualized display. Responsive to the request, the object is shared within the virtualized screen sharing management application via the virtualized display.

Abstract: The present disclosure provides a solid state disk reading method and apparatus, a device, and a non-volatile readable storage medium.

Abstract: The input of a user is monitored and a location of the user and a language of the user are detected. The input is converted to a text string in the detected user language and the converted text string is parsed into parsed tokens. A command line and correlated parameters indicated by the input are recognized based on the parsed tokens. The recognized command line with the assigned parameters is executed.

Abstract: A method, according to one approach, includes: dividing a system into different levels in response to receiving a request to convert objects in the system into digital twins. The method also includes constructing digital twins of the objects in the respective system levels. Digital twins of objects in the same system level are assigned a same hierarchy value and digital twins of objects in different system levels are assigned different hierarchy values. Moreover, at least two of the digital twins of objects in a given system level are configured to perform a same operation, and at least two of the digital twins of objects in the given system level are configured to perform different operations. The method also includes directing operation requests intended for one or more of the objects to the respective digital twin(s), and the operation requests are performed by the respective digital twin(s).

Abstract: Mechanisms are provided for presenting emotional feedback during real-time online communications. The mechanisms collect real-time online communication data of a participant computing device and executes first artificial intelligence (AI) computer model(s) on the collected real-time online communication data to extract key features indicative of an emotional state of a participant associated with the participant computing device. The mechanisms execute second AI computer model(s) to classify the extracted key features into an emotional feedback classification. The mechanisms map the emotional feedback classification to an emotional feedback element, in a library of emotional feedback elements, corresponding to the emotional feedback classification. The mechanisms modify a data stream, of the real-time online communication, associated with the participant computing device to include the emotional feedback element.

Abstract: Embodiments herein describe displaying popups in web conferences for vague phrase that may have multiple definitions or meanings. To select the correct definition or meaning, the system can determine or monitor a context of the web conference. In one embodiment, the system uses the context to index into a dictionary to select one of the definitions for phrases that have multiple definitions. A popup with the selected definition can then be displayed in the web conference.

Abstract: A computer-implemented method is provided. A processor set determines a set of data to be collected from a number of autonomous vehicles in real-time. The set of data comprises anonymized data associated with operations for the number of autonomous vehicles. The processor set collects the set of data from the number of autonomous vehicles through internet of things (IoT) devices from the number of autonomous vehicles using a central server. The processor set generates a digital map based on the set of data, wherein locations for the number of autonomous vehicles are shown in the digital map. The processor set displays the digital map to a number of users within a predefined proximity to the number of autonomous vehicles.

Abstract: In some implementations, a metaverse platform determines an attention direction associated with an avatar in a virtual space having two or more groups of additional avatars rendered therein. Each of two or more conversations may be associated with a respective group of the two or more groups. The metaverse platform may determine, based on the attention direction, an interest prediction indicative of a predicted group of interest of the two or more groups. The metaverse platform may provide, based on the interest prediction and to a client associated with the avatar, experience enhancement data to cause an output device associated with the client to output an experience enhancement corresponding to a conversation associated with the predicted group of interest.

Abstract: A processor set receives data detected from sensor devices associated with an online conference session. The processor set, based on analyzing the data, determines a contribution score for each of a plurality of participants attending the online conference, which is being conducted via the video stream. The contribution score indicates a participant's level of contribution during the online conference session. The processor set controls performing of an automatic close-up of a camera view in the online conference session to a participant having a highest contribution score among the plurality of participants attending the online conference being conducted via the video stream.