Abstract: A a method for robotic assistance continuity to a pedestrian using gait recognition. The method includes determining a gait pattern of the pedestrian based on analysis of visual data obtained at a first position. The pedestrian is provided assistance based on a query at the first position. The pedestrian is identified at a subsequent position by identifying the gait pattern from analysis of visual data obtained at the subsequent position. The need for additional pedestrian assistance is determined at the subsequent position.

Abstract: The present inventive concept provided for a method for identifying a natural solution to solve a problem. The method includes identifying the problem in environmental multimedia of an environment; identifying the natural solution to the identified problem and required capabilities thereof based on a mapping; and generating a machine-based solution based on the natural solution.

Abstract: An approach for a computer program to retrieve historical incident data associated with a contaminated site to predict a future incident at the contaminated site. In the approach, the computer program evaluates the historical incident data to determine a deployment of a plurality of unmanned vehicles to form a virtual fence around the contaminated site. Furthermore, in the approach, the computer program determines instructions for the deployment of each of the plurality of unmanned vehicles to form the virtual fence around the contaminated site. In the approach, the computer program sends the instructions to form the virtual fence to each of the plurality of unmanned vehicles.

Abstract: In an approach for improving robotic automation systems, a processor receives a request for a set of materials for an activity to be performed. A processor identifies one or more materials of the set of materials. A processor determines a sequence of operations to move the one or more materials. A processor prompts a first robot to pick a first material at the place of origination using a clamping system and to deposit the first material in a first micro trolley. Responsive to determining an arm of the first robot is in a first orientation, a processor moves the first material along a first track on an arm of a multi-robotic system from the place of origination to the place of destination. A processor prompts a second robot to pick the first material from the first micro trolley at the place of destination using the clamping system.

Abstract: In an approach to security for displayed confidential holographic objects, one or more computer processors receive a request from a user to display a holographic object in association with a device. One or more computer processors identify content to be moved to the holographic object. One or more computer processors determine the content includes confidential information. One or more computer processors request authentication from the user. One or more computer processors receive the authentication from the user. One or more computer processors create a holographic boundary, where the holographic boundary blocks a view of the holographic object from one or more unauthorized users. One or more computer processors display the holographic boundary. One or more computer processors display the holographic object in association with the device.

Abstract: Embodiments receive ride data, user data which comprises user information and other user data, and crowd-sourced historical data, train a machine learning model using a knowledge corpus which includes the ride data, the user data, and the crowd-sourced historical data, and dynamically adjust at least one ride recommendation based on the trained machine learning model.

Abstract: A critical path based proactive optimization that includes collecting data on the tasks of contextual situation for performing a process and training a twin computing simulation model using the collected data for each task in the process. A contextual situation simulation is run using the simulation models for each task in the process to determine a critical path that causes delay in the process. An optimized task is determined from the tasks of the contextual situation using machine learning employing the collected data, wherein the optimized task mitigates delay in the process from the critical path.

Abstract: An embodiment for dynamically creating a vehicle fence is provided. The embodiment may include receiving GPS data from one or more vehicles and a real-time video feed of one or more intersections along a first roadway. The embodiment may also include identifying a number of autonomous vehicles and one or more routes of the autonomous vehicles traveling on the first roadway. The embodiment may further include in response to determining an emergency vehicle is traveling on the first roadway, identifying a route and speed of the emergency vehicle. The embodiment may also include estimating a width of a second roadway intersecting the first roadway at a nearest intersection. The embodiment may further include identifying a moving direction of one or more objects along the second roadway. The embodiment may also include deploying a required number of autonomous vehicles to block the one or more objects from entering the nearest intersection.

Abstract: An embodiment for controlling a boundary of an AI system based on an environmental context is provided. The embodiment may include receiving data input from one or more sources. The embodiment may also include identifying one or more contextual situations in a surrounding environment. The embodiment may further include identifying one or more input data collection boundaries and a span of control boundary for an AI-enabled device. The embodiment may also include connecting the AI-enabled device to one or more data generation modules within the one or more input data collection boundaries. The embodiment may further include in response to determining none of the one or more data generation modules are unable to connect, identifying an action to be performed by the AI-enabled device. The embodiment may also include executing the action in a first set of one or more machines within the span of control boundary.

Abstract: A method for performing a welding procedure includes determining conditions of the welding procedure using a virtual image of a structure on which the welding procedure is to be performed. The method further includes generating specifications for performing the welding procedure based on the conditions. The method further includes generating a virtual reference shape based on the conditions and the specifications, the virtual reference shape generated by modifying the virtual image. The method further includes comparing a resulting shape of the welding procedure with the virtual reference shape. The method further includes determining a quality of the welding procedure based on the comparison. The method further includes storing data pertaining to the welding procedure.

Abstract: An embodiment for synchronization of physical delivery with a metaverse activity is provided. The embodiment may include receiving real-time and historical data relating to a metaverse activity. The embodiment may also include identifying a context of the metaverse activity. The embodiment may further include in response to determining at least one user requires physical delivery of one or more physical objects, identifying a time at which the at least one user requires the physical delivery of the one or more physical objects during the metaverse activity. The embodiment may also include causing at least one robotic device to onboard the one or more physical objects to be delivered in advance of the required time. The embodiment may further include deploying the at least one robotic device to deliver the onboarded one or more physical objects to a physical location of the at least one user at the required time.

Abstract: A processor may receive object data associated with an object in an environment. The processor may generate one or more simulations associated with the object using the object data. The processor may analyze the one or more simulations to identify one or more potential issues associated with the object. The processor may deploy the one or more smart devices to the object to capture issue data associated the one or more potential issues.

Abstract: An embodiment for synchronization of physical delivery with a metaverse activity is provided. The embodiment may include receiving real-time and historical data relating to a metaverse activity. The embodiment may also include identifying a context of the metaverse activity. The embodiment may further include in response to determining at least one user requires physical delivery of one or more physical objects, identifying a time at which the at least one user requires the physical delivery of the one or more physical objects during the metaverse activity. The embodiment may also include causing at least one robotic device to onboard the one or more physical objects to be delivered in advance of the required time. The embodiment may further include deploying the at least one robotic device to deliver the onboarded one or more physical objects to a physical location of the at least one user at the required time.

Abstract: A processor may receive transportation data associated with one or more vehicles and one or more routes having one or more roads. The processor may analyze the transportation data for one or more vehicle capabilities associated with the one or more vehicles and one or more road capabilities associated with the one or more roads of the one or more routes. The processor may generate one or more simulations associated with the one or more roads and the one or more vehicles. The processor may identify an optimal vehicle from the one or more vehicles and an optimal route from the one or more routes. Identifying the optimal vehicle and the optimal route may be based, at least in part, on the one or more simulations. The processor may assign the optimal vehicle to the optimal route.

Abstract: Multi-cloud deployment strategy is based on automated analysis of context and requirements for an activity workload. The activity workload is defined by user input including information regarding project cost, performance requirements, and geographical preferences. Selection of cloud-based resources for handling the activity workload is based in part on service availability record, projected cost of resources, and physical geographic locations. A cloud services registry provides cloud service provider data for selection to perform aspects of the activity workload.

Abstract: A processor may receive data regarding an emergency event. The processor may identify, using an artificial intelligence model, one or more features regarding the emergency event. The processor may determine that the one or more features are associated with one or more emergency response tasks. The processor may generate an action plan that incorporates the one or more emergency response tasks. The processor may output the action plan to a user.

Abstract: A computer-implemented method, system and computer program product for seamlessly adjusting the utilization of computational resources of a computing device. A pattern of usage of computational resources of the computing device over a timeframe is determined. An artificial intelligence model uses such a pattern of usage and/or any identified contextual needs for upgrading or downgrading the computational resources of the computing device to determine the predicted amount of computational resources needed to be utilized by the computing device. Based on such a predicted amount, a blockchain transaction may be initiated and recorded to upgrade/downgrade the computational resources of the computing device.

Abstract: Decentralized cloud service assessment includes using a self-executing data structure, an error confirmation capsule (ECC) generated in response to a cloud service failure experienced by a cloud service client (CSC). One or more technical performance indicia corresponding to the cloud service failure are extracted from the ECC in response to the validating. The one or more technical performance indicia are compared to one or more electronically stored predefined performance norms of a cloud service provider (CSP) associated with the cloud service failure. Based on the comparing, a comparative ranking of the CSP is determined. A graphical user interface display is generated based on comparative rankings of the CSP and one or more other CSPs.

Abstract: Techniques are described with respect to a system, method, and computer product for a method for sharing virtual environment collaboration. An associated method includes analyzing a virtual environment and determining a plurality of contextual information and a degree of shareability associated with the virtual environment based on the analysis. The method further including presenting the virtual environment to a social media network associated with a user based on the degree of shareability.

Abstract: A processor may automatically select a cloud service provider. A processor may receive one or more parameters associated with an entity and a cloud service dataset associated with a provider. A processor may generate a digital twin of the entity using the one or more parameters. A processor may simulate the digital twin of the entity and the cloud service dataset. A processor may identify, responsive to simulating the digital twin of the entity and the cloud service dataset, one or more predicted conditions of cloud service dataset on the entity. A processor may select the provider based, at least in part, on the one or more predicted conditions.