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: 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: 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 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.

Abstract: Generating queries in a heterogeneous cloud computing environment is provided. The method comprises transforming disparate statistical formats into a unified representation to standardize statistical metadata between relational databases and NoSQL databases. SQL-derived NoSQL statistics are integrated into a unified repository according to the unified representation. Mapped NoSQL statistics are integrated into relational database query optimizers. An optimal predicate pushdown strategy and an execution plan for a query across heterogeneous databases are determined according to the standardized statistical metadata. The query to the heterogeneous databases is then executed according to the relational database query optimizers and the optimal pushdown strategy and execution plan.

Abstract: Techniques are described with respect to a system, method, and computer program product for generating vehicular-based visualizations. An associated method includes receiving a plurality of vehicular parameters associated with a vehicle; analyzing the plurality of vehicular parameters based on a user profile associated with at least one occupant of the vehicle; and generating a virtual environment visualization associated with the vehicle based on the analysis.

Abstract: For a set in sets of candidate factors, a classification model is trained to predict a computer problem possibility, an accuracy score of the classification model is determined based on model validation, and factor weights of the candidate factors in the set are adjusted based on the accuracy score. This processing is done with respect to all sets of candidate factors. A low accuracy classification model having an accuracy score lower than a threshold criterion is selected. A higher accuracy classification model having an accuracy score that is higher than the accuracy score of the low accuracy classification model is selected. The set of candidate factors used to train the low accuracy classification model is updated using one or more of the candidate factors used to train the higher accuracy classification model. The low accuracy classification model is updated based on the updated set of candidate factors.

Abstract: The present disclosure provides a method for reading a solid state disk, including: dividing a plurality of logic planes of a logic unit in the solid state disk into a first plane group and a second plane group; assigning a first processing process to the first plane group and a second processing process to the second plane group; in response to there being a first read request in a first message queue of the first processing process and no second read request in a second message queue of the second processing process, sending the first read request to the solid state disk through the first processing process; in response to there being the first read request in the first message queue and the second read request in the second message queue, sending the read requests to the solid state disk through the first processing process or the second processing process.