Abstract: The present specification describes a computer-implemented method. According to the method, user-specific tags are generated for a virtual reality (VR) object displayed within a VR environment. The user-specific tags are generated based on an interaction of a first user with the VR object. Role-based access rights are assigned to the user-specific tags. A role of a second user accessing the VR environment is determined and the user-specific tags are presented to the second user, alongside the VR object, based on a comparison of the role of the second user and the role-based access rights.

Abstract: A method, text correction system, and computer program product, one embodiment of which may comprise receiving an original first message from a first participant of a group correspondence, receiving a second message from a second participant of the group correspondence, determining, by semantically analyzing the original first message and the second message, that the second message contains a desired modification of the original first message, and in response to the determining, automatically modifying the original first message with the desired modification to produce a modified first message. The second message may be received after the original first message. Optionally, some embodiments may further comprise presenting the modified first message to the first participant of the group correspondence for approval, and in response to an approval by the first participant of the group correspondence, presenting the modified first message to one or more other participants of the group correspondence.

Abstract: A processor may receive an information dataset. The information dataset may include object information and environment information. A processor may generate a digital twin of a physical environment. The digital twin of the physical environment may be based, at least in part, on the information dataset. A processor may simulate one or more factors on the digital twin of the physical environment. A processor may determine, responsive to simulating the one or more factors, one or more pathways to a destination. The destination may be in the physical environment.

Abstract: When a system receives sensitive data, it can request an encryption key from an encryption/decryption unit. A central processing unit (CPU) of the system can encrypt the sensitive data using the encryption key before writing the sensitive data to memory. Thus, the sensitive data is encrypted when written to memory.

Abstract: Distributing and rebalancing crewless vehicles (CV) by receiving a CV demand-availability gap, identifying candidate CV to relocate to close the CV demand-availability gap, identifying a candidate transport to relocate the CV to close the CV demand-availability gap, generating a candidate CV relocation plan, optimizing an overall CV relocation plan, and executing the overall CV relocation plan.

Abstract: A quantum state visualization device comprising at least a portion of a spherical shell and a support structure affixed to the spherical shell. A portion of the support structure can intersect a center of the spherical shell. The quantum state visualization device further comprising a indicator pivotally attached to the support structure at the portion of the support structure intersecting the center of the spherical shell. The indicator is representative of a quantum state based on its position relative to the spherical shell.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate quantum platform routing of a quantum application component are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a dissection component that identifies one or more components of a quantum application. The computer executable components can further comprise a determination component that selects at least one quantum platform to execute the one or more components of the quantum application based on a defined run criterion.

Abstract: When a system receives sensitive data, it can request an encryption key from an encryption/decryption unit. A central processing unit (CPU) of the system can encrypt the sensitive data using the encryption key before writing the sensitive data to memory. Thus, the sensitive data is encrypted when written to memory.

Abstract: A processor may receive data associated with a user. The processor may determine, using an artificial intelligence model, a contextual situation the user is likely to encounter. The processor may identify, using the artificial intelligence model, a task that the user is likely to perform in the contextual situation. The processor may determine, using the artificial intelligence model, a criticality of the task the user is likely to perform in the contextual situation. The processor may generate a simulation of the task in a virtual reality simulation. The processor may prompt the user to utilize the task simulation to learn how to perform the task.

Abstract: Identifying new machine learning models with improved metrics is provided. A new machine learning model is searched for that is relevant to a current machine learning model running within a client device and has improved metrics over current metrics of the current machine learning model. It is determined whether a relevant new machine learning model having improved metrics over the current metrics of the current machine learning model was found in the search. In response to determining that a relevant new machine learning model having improved metrics was found in the search, it is determined whether the relevant new machine learning model is compatible with the current machine learning model. In response to determining that the relevant new machine learning model is compatible with the current machine learning model, the relevant new machine learning model is automatically implemented in the client device.

Abstract: A digital key management system for physical keys is provided. A processor registers a physical lock. A processor generates a digital key based on a physical key structure to be used with the physical lock. A processor configures the physical lock to decode an inserted physical key. A processor verifies the inserted physical key, in response to a digital key for the decoded physical key matching the generated digital key.

Abstract: A computer is used to identify objects related to an event using networked computer system resources. A request is received to assess objects within a vicinity of an event for uses related to the event. A type of event is determined and objects identified within the vicinity. The identified objects are assessed for applicability relating to the event. The identified objects are scored based on applicability of each of the identified objects to the event. The identified objects are ranked based on the score for each of the identified objects, and based on accessibility factors for each of the identified objects, and the accessibility factors include locations of the identified objects, respectively, within the vicinity. A notification is sent to a user's device with the ranking for viewing by a user on a display of the user's device.

Abstract: A computer-implemented method for verifying a transaction in a blockchain network may be provided. The blockchain network comprises nodes participating in performing the transaction. The method comprises grouping the nodes of the blockchain network into a plurality of clusters of nodes. For each cluster, the method comprises determining for each node of the cluster performance parameter values, calculating a weighted sum of the determined performance parameter values, designating the node with the highest weighted sum as cluster leader, designating a number of nodes of the cluster whose weighted sum is next to the highest weighted sum, as sub-cluster leader, the number being at least half of the total number of nodes within said cluster, and verifying the transaction for the cluster by the cluster leader and the sub-cluster leaders.

Abstract: A method, a computer program product, and a system for usage restrictions on digital certificates. The method includes selecting a digital certificate relating to a user and determining a usage restriction policy for the digital certificate based on the user. The method also includes populating an extension field of the digital certificate with the usage restriction policy. The method further includes providing the digital certificate including the usage restriction policy to the user. The method also includes gathering parameters relating to the digital certificate, determining usage patterns based on the parameters, inputting the usage patterns into a machine learning model, outputting a risk assessment, and updating the usage restriction policy based on the risk assessment.

Abstract: A scanner is used to generate a set of processing power consumption metrics for a memory subsystem. From the set of processing power consumption metrics, a number of in-memory computations is determined. From the number of in-memory computations, a total computing score is determined. A user is notified of the total computing score.

Abstract: Embodiments of the present invention provide systems and methods for personalizing a navigation route. The method includes receiving a request from a user for a navigation route between two or more points. The method further includes accessing navigation data and services, creating a generic navigation route, accessing route history and related data for the user, creating a personalized navigation route for the user, and displaying the personalized navigation route.

Abstract: A method, system and computer program product for dynamically adjusting a timeout parameter associated with a connection between a client device and a server. Information is associated with at least one of a characteristic of a content to be rendered by a server, a characteristic of traffic of a connection to the server, and a characteristic of a user of the server is received from the client device and transmitted to the server. Based on the transmitted information, an amount of time in a previously stored timeout parameter associated with a client device is adjusted automatically with a new timeout parameter to enable communication between the client device and the server. The new timeout parameter is stored in place of the previously stored timeout parameter. Responsive to the amount of time to wait for a response from the client device satisfying the new timeout parameter, the communication between the client device and the server is terminated.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can in response to receiving content, dynamically determining validity of received content. Embodiments of the present invention can then, in response to an determining the validity of received content, altering the received content prior to transmitting the received content to a user.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention detect an audio stream comprising one or more voice packets from a first computing system. Embodiments of the present invention can, in response to detecting an audio stream, dynamically prevent audio drop out on a second computing system using circular buffers based on network consistency.

Abstract: A method, computer system, and a computer program product for problem solving using selected datasets from an internet-of-things system are provided. A trigger device in an internet-of-things system may be designated. The internet-of-things system may include the trigger device and internet-of-things devices. A trigger message may be received from the trigger device. A problem may be determined based on the trigger message. Data transmissions may be requested from the internet-of-things devices. Data may be received via the data transmission. The data transmission may be ended. A problem contributor may be identified by inputting the received data and the determined problem into a machine learning model. A problem response for responding to the problem may be generated. The generating may include inputting the problem contributor to the machine learning model. The problem response may be performed.