Abstract: Security for verbal communications when using a smart device within range of other communications devices can include detecting a verbal communication on a primary device by a user to determine when the verbal communication is confidential. Analysis is implemented of an audio input using natural language processing, and when a confidential communication is in session, a designation is initiated. Further analysis is implemented to detect a geolocation of one or more secondary devices to the primary device. Responsive to determining the geolocation for one or more secondary devices is below the predetermined threshold, initiating a disengaging action to discourage audio communication to an audio input of the one or more secondary devices.

Abstract: Methods, computer program products, and systems are presented. The method, computer program products, and systems can include, for instance: receiving personal inputs regarding a first individual, the first individual previously having given informed consent, automatically generating a work profile for the first individual based on the plurality of personal inputs; based on the work profile of the first individual and a preexisting work profile of a second individual, predicting a work affinity indicator for the first individual and the second individual, the predicting including using an affinity model trained via ensemble learning; and providing the work affinity indicator to a user for optional consideration in making a work-related or employment-related decision.

Abstract: Techniques for integrated authentication for a container-based environment are described herein. An aspect includes accessing, by an application that is running in a container in a container environment that is hosted by a hypervisor on a host system, an authentication module that is located in the container environment. Another aspect includes invoking an authentication handler in the container environment based on the accessing of the authentication module. Another aspect includes passing control to the hypervisor from the authentication handler. Another aspect includes retrieving a security artifact from a security database of the host system by the hypervisor. Another aspect includes providing the retrieved security artifact to the application via the authentication handler. Another aspect includes performing an authentication operation by the application using the security artifact.

Abstract: An embodiment for a method of generating and selecting optimal translations for user interfaces by balancing translation integrity and user interface design requirements. The embodiment may receive text to be translated from a first language to a second language within a user interface design context. The embodiment may generate a plurality of translations of the received text, each of the plurality of translations having a respective translation integrity value and text length. The embodiment may calculate a translation deviation range for the received text. The embodiment may determine one or more optimal user interface designs and calculate a guided text length range for the received text. The embodiment may select optimal translation outputs by balancing the respective translation integrity values and the text lengths for each of the generated plurality of translations against the calculated translation deviation range and the calculated guided text length range for the received text.

Abstract: A method, computer system, and a computer program product for event-related item tracking are provided. A first computer receives from an event database associated with personal information management software a reminder of an upcoming event for a first user. The first computer retrieves an electronic list of items needed by the first user for the upcoming event. The first computer retrieves, from a location database, location information of a first item from the electronic list of items. The location database was generated using image information of the first item. The first computer transmits the electronic list of items and the location information of the first item for presentation to the first user.

Abstract: A method for contextual data visualization includes receiving data selected by a user and meta-data associated with the data. The data is analyzed, using a processor of a computing device, to determine content and structure attributes of the data that are relevant to visualization of the data. The meta-data is analyzed, using a processor of the computing device, to determine a context in which the visualization of the data will be used. A database comprising an aggregation of visualization records from a plurality of users is accessed and at least one template from the data visualization records that matches the data attributes and context is selected. A data visualization is created by applying at least one template to the data.

Abstract: An anonymous leaderboard for a monitored computing environments is provided. In response to an entity registering with the monitored computing environment (MCE), an encrypted identity and a dynamic non-fungible token (NFT) are generated for the registered entity, where the dynamic NFT has an associated blockchain technology data structure. The blockchain technology data structure is associated with the encrypted identity. A progress element notification is received from the MCE in response to the entity satisfying criteria for a predefined progress element associated with the MCE. In response, a static NFT, corresponding to the predefined progress element, is generated and stored as a block in the blockchain technology data structure. An entry in an anonymous leaderboard output is generated based on the blockchain technology data structure, where the entry identifies the entity by the encrypted identity.

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 identifying a priority of a workload and calculating a workload preference based on the priority. The operations may include selecting a host for the workload using the workload preference and deploying the workload to the host.

Abstract: A method, system and computer program product for processing queries in a hybrid database system. A database management system of the hybrid database system obtains an estimated execution time of a query by an online transaction processing engine. The database management system further obtains an estimated execution time of the query by a database accelerator. Furthermore, the database management system determines a wait time (which could be zero) for the database accelerator to process the query. The database management system then determines whether the online transaction processing engine or the database accelerator will process the query using the estimated execution time of the query by the online transaction processing engine, the estimated execution time of the query by the database accelerator and the wait time (which could be zero) for the database accelerator to process the query. In this manner, the processing of queries in hybrid database systems is optimized.

Abstract: Techniques and apparatus for optimizing communications between computing devices are described. An example technique includes determining one or more parameters of a communication between a first computing device and a second computing device. At least one of a networking stack or a communication protocol that will meet a target set of criteria for the communication is predicted, based on evaluating the one or more parameters with at least one machine learning model. An indication of at least one of the networking stack or the communication protocol is transmitted.

Abstract: Methods, computer program products, and systems are presented. The method, computer program products, and systems can include, for instance: receiving personal inputs regarding a first individual, the first individual previously having given informed consent, automatically generating a work profile for the first individual based on the plurality of personal inputs; based on the work profile of the first individual and a preexisting work profile of a second individual, predicting a work affinity indicator for the first individual and the second individual, the predicting including using an affinity model trained via ensemble learning; and providing the work affinity indicator to a user for optional consideration in making a work-related or employment-related decision.

Abstract: According to one embodiment, a method, computer system, and computer program product for temporal container generation is provided. The embodiment may include identifying a geolocation associated with a user device for each user within a web conference. The embodiment may also include generating a temporal container for each identified geolocation on one or more commonly controlled servers. The embodiment may further include assigning a temporal container corresponding to the geolocation associated with the user device to each user. The embodiment may also include, in response to a user within the web conference sharing a document, storing the document to each temporal container. The embodiment may further include granting each user permission to access the shared document in the temporal container to which each user is assigned.

Abstract: A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the primary subsets of capture device output to produce a validatable master file which includes master file media data primary subset from the capture device output, master primary subset metadata of the master file media data primary subset, and master file blocktree data. The master file blocktree data includes a master file block history portion, a master file signature key portion, and a signed hash of the master file media data primary subset. The computer also modifies the master file media data primary subset to produce a reference file media data primary subset. reference files and distributable files. The computer verifies the authenticity of each of these files.

Abstract: A computer-implemented method includes dynamically generating a sub-operator bundle based on a template. The method further includes converting, by a processing device using a sub-operator registry server, the sub-operator bundle into a sub-operator. The method further includes providing, by the processing device using the sub-operator registry server, the sub-operator to a catalog.

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 analyzing a host system, detecting one or more specifications of the host system, and determining a displaceable capacity of the host system. The determining a displaceable capacity of the host system may include identifying a workload on the host system, establishing a workload priority for the workload, and defining a task priority of a task. The operations may include computing service metrics of the host system. The operations may include displacing a portion of the workload using the displaceable capacity.

Abstract: One or more computer processors detect a physical storage device within a visual proximity to a user within an augmented reality (AR) environment. The one or more computer processors capture one or more physical identifiers of the detected physical storage device. The one or more computer processors identify an indexed filesystem associated with the physical storage device utilizing the one or more captured physical identifiers, wherein the indexed filesystem contains metadata representing file content stored on the physical storage device. The one or more computer processors calculate a filesystem risk score associated with the physical storage device utilizing the identified physical identifiers. The one or more computer processors present generated graphics representing the indexed filesystem and the calculated filesystem risk score to the user within an AR viewport.

Abstract: Usage information of a user for a plurality of computing devices is identified. A usage pattern for each computing device of the plurality of computing devices of the user is developed based on the identified usage information of the user. An indication of the user accessing an application on a first computing device of the plurality of computing devices is received. The application requires one or more credentials for an authentication process associated with the application. A determination is made whether the user accessing the application using the first computing device is following the developed usage pattern of the user. Responsive to determining that the user accessing the application using the first computing device is not following developed usage pattern of the user, the authentication process associated with the application is interrupted.

Abstract: A method, system, and computer program product are provided for virtualizing specific values in a guest configuration based on the underlying host symbol substitution values. A symbolic link located in a traditional file system in a virtual guest is opened. Each symbol is extracted from a symbol-based file located in a symbol-based file system. The symbol-based file is accessed through a symbolic link from the traditional file system. The virtual guest issues a privileged instruction to a hypervisor for each symbol in the symbol-based file to retrieve a substitution value from a symbol table that is stored in hypervisor storage. The substitution value for each symbol is returned to the virtual guest, and it replaces the symbol in the symbol-based file. In response to a file read request for the traditional file, the substitution value is retrieved from the symbol-based file using the symbolic link from the traditional file.

Abstract: A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the primary subsets of capture device output to produce a validatable master file which includes master file media data primary subset from the capture device output, master primary subset metadata of the master file media data primary subset, and master file blocktree data. The master file blocktree data includes a master file block history portion, a master file signature key portion, and a signed hash of the master file media data primary subset. The computer also modifies the master file media data primary subset to produce a reference file media data primary subset. reference files and distributable files. The computer verifies the authenticity of each of these files.

Abstract: Media capture and verification originally-captured media files, the nature of modifications made to captured media files, and the authenticity of various versions of files related to the captured media are discussed. A computer identifies capture device output that represents an aspect of a recorded event. The computer cryptographically processes the capture device output to produce a validatable master file which includes master media data from the capture device output, master metadata of said master media data, and master file blockchain data. The master file blockchain data includes a master file block history portion, a master file signature key portion, a master file change indication portion, and a master file signed data hash portion. The computer also modifies the master media data to produce reference file media data. reference files and distributable files. The computer verifies the authenticity of each of these files.