Abstract: In an approach to improve risk assessment and management, embodiments monitor a predetermined area by collecting, by one or more sensing devices, data related to environmental conditions and spatial relationships between one or more objects in the predetermined area. Further, embodiments determine, based on a model and the monitoring, that an accidental event is likely to occur within a predetermined distance or within the predetermined area. Additionally, embodiments identify a predetermined mitigation action from a knowledge corpus to apply to the accidental event; and proactively implementing the identified mitigation action to prevent or manage the accidental event.

Abstract: A computer-implemented method for displaying an augmented reality (AR) object is disclosed. The computer-implemented method includes identifying a physical object of interest in a user's AR field of view (FOV), determining an amount of time required for the physical object of interest to be displayed within the user's AR FOV, based on the user's relative position and movement with respect to the physical object of interest, determining the physical object of interest is no longer in the user's physical FOV prior to an expiration of the determined amount of time required for the physical object to be displayed within the user's AR FOV, and displaying a digital object corresponding to the physical object of interest in the users AR FOV until the determined amount of time required for the physical object to be displayed within the user's AR FOV has expired.

Abstract: A method, computer system, and a computer program product for material movement planning are provided. A computer receives a first notification of dimensions of a first material to be transported, a second notification of stowage positions of a first vehicle, a third notification of a pickup location and a drop-off location for the first material, and a fourth notification of space requirements of machines along a transport path. The computer generates a material movement plan for stowing the material on the first vehicle and for transporting the material along the transport path. The material movement plan is based on the dimensions of the material, the stowage positions of the first vehicle, the transport path, and the space requirements for the machines. The computer transmits the material movement plan for loading the first material into one of the stowage positions on the first vehicle according to the material movement plan.

Abstract: One or more environmental vibrations that originate from a vibration source are detected by a wearable display device. The wearable display device is worn by a user. The vibration source is located in an environment that is proximate to the wearable display device. An alert condition related to the vibration source is identified, based on the one or more environmental vibrations. An augmented notification for the wearable display device is generated in response to the alert condition. The augmented notification provided, by the wearable display device, to the user.

Abstract: Aspects of the present disclosure relate to zoom action based image presentation. A zoom action on a first image can be received on a user device, the zoom action defined by a set of zoom action parameters. The first image can be analyzed to determine image properties of the first image. A second image depicting a different structural level of the first image can be searched for based on the zoom action parameters of the zoom action and the image properties of the first image. The second image can be presented to the user as a response to the received zoom action.

Abstract: According to one embodiment, a method, computer system, and computer program product for light-based navigation of robotic device. The embodiment may include detecting a light beam. The embodiment may include identifying a source location and an endpoint location of the light beam. The endpoint location comprises a location where the light beam intersects a surface. The embodiment may include receiving a voice command to proceed to the endpoint location. The embodiment may include instructing a mobile robotic device to proceed directly to the endpoint location. In response to the mobile robotic device reaching the endpoint location, the embodiment may include instructing the mobile robotic device to perform an activity therein.

Abstract: The present invention may include a processor that monitors location of a robot in an environment. The processor captures the environment with one or more environment sensors. The processor analyzes the captured environment to determine an exit location. The processor validates an exit route based on historical data and the exit location and communicates the exit route to the robot.

Abstract: Disambiguating question answering responses by receiving voice command data associated with a first user, determining a first user identity according to the first user voice command data, determining a first user activity context according to the first user voice command data, determining a first response for the first user, receiving voice command data associated with a second user, determining a second user identity according to the second user voice command data, determining a second user activity context according to the second user voice command data, determining a second response for the second user, determining a predicted ambiguity between the first response and the second response, altering the first response according to the predicted ambiguity, and providing the first response and the second response.

Abstract: An approach for the capability of managing IoT devices (including eSIMs) and dynamically switch those IoT devices to different network/wireless carriers based on the activity performed is disclosed. The approach can identify poor network connectivity problems with the IoT devices while performing the activities or switching/moving from one activity to another activity and can predict the context of performing the activities with various IoT devices based on identified information. The approach can dynamically adjust the configuration setting of those IoT devices to connect to the appropriate network service provider based on the prediction context of those activities.

Abstract: Approaches presented herein enable detection of security vulnerabilities in software containers. More specifically, a software container comprising a build script and a base image is received. An instance of the software container is instantiated in an encapsulated environment using the build script and the base image. The instance of the software container is executed in the encapsulated environment, and the execution of the software container instance is monitored in the encapsulated environment to detect one or more security vulnerabilities.

Abstract: A capture operation is identified. The capture operation is of a video stream of a subject located in an environment. The capture operation is performed by a first capture device from a first perspective of the subject. A perspective update request of the video stream is received. In response to the perspective update request, one or more candidate capture devices in the environment is detected. A second capture device is selected as a selected capture device, from the one or more candidate capture devices. The second capture device is instructing to perform the capture operation based on the selection. The video stream is transferred from the first capture device to the second capture device. The transferring updates the video stream to a second perspective of the subject.

Abstract: According to one embodiment, a method, computer system, and computer program product for recovering power from haptic feedback is provided. The present invention may include identifying one or more haptic devices and one or more power recovery devices associated with a user; dynamically monitoring a position and distance of the one or more haptic devices and the one or more power recovery devices; predicting how much power can be recovered by the one or more power recovery devices from haptic feedback generated by the one or more haptic devices based on the position and distance; and change a direction of haptic feedback based on the prediction, position, and distance.

Abstract: A dynamic user interface (UI) input system and method for smart glasses based on availability states of a user is provided. In embodiments, a method includes determining, by a computing device of smart glasses, an initial availability state of a user's hands for a user interface (UI) navigation event based on incoming image data; selecting, by the computing device, a UI configuration and a control profile for the UI navigation event from stored UI configurations and control profiles of the user based on the initial availability state of the user's hands; and initiating, by the computing device, the UI navigation event based on the selected UI configuration and the control profile, wherein content is displayed in a virtual UI of the smart glasses according to the UI configuration, and UI navigation by the user is controlled based on the control profile.

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: Aspects of the present disclosure relate generally to reduction in environmental pollution and, more particularly, to systems and method of carbon dioxide (CO2) sequestration in the atmosphere. For example, a computer-implemented method includes receiving, by a computing device, locations of an atmospheric pollutant; determining, by a computing device, a location of a target area of the atmospheric pollutant for sequestration; determining, by the computing device, positioning and flight path data for airborne sequestration devices to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant; and deploying, by the computing device, the airborne sequestration devices with reagent according to the positioning and the flight path data to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant.

Abstract: A system and method for bandwidth management are provided. In embodiments, a method includes: training, by a computing device, a predictive machine learning (ML) model based on historic network usage data of software applications in a cloud environment and historic business context data; assigning, by the computing device, priority rankings to software application activities of the cloud environment using the predictive ML model based on predicted resource requirements for the software application activities of the cloud environment and predicted contextual scenarios that impact the predicted resource requirements using an input of real-time network usage data of the cloud environment and real-time business context data; and initiating, by the computing device, scheduling of the software application activities based on the priority rankings.

Abstract: An embodiment for creating a tiled image using different zoom levels based on user interests is provided. The embodiment may include receiving one or more photographs captured by a user. The embodiment may also include analyzing features associated with the one or more photographs. The embodiment may further include identifying one or more known objects of interest. The embodiment may also include in response to determining the user wants to take a tiled zoom photograph, capturing a photographic image. The embodiment may further include scanning the photographic image for identifying features of the one or more known objects of interest. The embodiment may also include in response to determining at least one object of interest is found in the scanned photographic image, assembling the tiled zoom photograph with a plurality of tiles.

Abstract: By monitoring an in-person interaction using a first Internet of Things (IoT) device, an entity relationship between parties in the in-person interaction is identified. Using data resulting from the monitoring, a habit workflow corresponding to the entity relationship is generated, wherein the habit workflow comprises a sequence of habits and a habit in the sequence of habits comprises performance of a behavior. A second IoT device able to monitor execution of the habit workflow is identified. Using the second IoT device, execution of the habit workflow is monitored. A motivational method corresponding to the execution is identified from the monitored execution.

Abstract: A system and method for bandwidth management are provided. In embodiments, a method includes: training, by a computing device, a predictive machine learning (ML) model based on historic network usage data of software applications in a cloud environment and historic business context data; assigning, by the computing device, priority rankings to software application activities of the cloud environment using the predictive ML model based on predicted resource requirements for the software application activities of the cloud environment and predicted contextual scenarios that impact the predicted resource requirements using an input of real-time network usage data of the cloud environment and real-time business context data; and initiating, by the computing device, scheduling of the software application activities based on the priority rankings.

Abstract: A method for transferring content utilizing contextual positioning includes receiving a content selection for transferring from an originating device. The method also includes determining contextual positioning in a user interface of the originating device for each portion of the content selection, wherein the contextual positioning is based on the content selection and one or more objects in the user interface of the originating device. The method also includes sending, to a receiving device, each portion of the content selection with the determined contextual positioning in the user interface of the originating device. The method also includes placing, in the user interface of the receiving device, each portion of the content selection is based on the determined contextual positioning in the user interface of the originating device.