Abstract: Correspondence information recorded by trusted entities is maintained up to date by monitoring user activity for location-based transaction data and determining by a machine learning algorithm when a piece of correspondence information has changed. When a change is detected, effected entities receive proposals for alternative temporary correspondence and formal change requests are submitted.

Abstract: Embodiments of the present disclosure include a method for preventing attacks of audio-based virtual assistants, a system, and a computer program product. One embodiment of the method may comprise receiving an audio command at a first Internet-of-Things (IoT) device in a location, analyzing the audio command using one or more other IoT devices in the location, and performing an ameliorative action in response to an anomaly identified during the analyzing. The analyzing may include comparing the audio command received by the first IoT device to audio received by the one or more other IoT devices. The comparing may comprise computing a relative volume level. The comparing may further comprise computing an audio delay.

Abstract: A method includes: receiving, by a computing device, user input to move content from an augmented reality (AR) interface to a virtual reality (VR) interface; obtaining, by the computing device, security levels of users in a VR environment associated with the VR interface; determining, by the computing device and based on the security levels, which of the users in the VR environment is permitted to see the content; and changing, by the computing device, at least one of the AR interface to the VR interface based on the determining.

Abstract: According to one embodiment, a method, computer system, and computer program product for computing device control. The embodiment may include segmenting an augmented reality (AR) view of an environment of a user into distinct segmented areas of the AR view. The AR view is created by an AR device of the user. The segmenting is performed using the AR device. The embodiment may include mapping a computing device within the environment to a distinct segmented area of the AR view. The mapping results in a user interface (UI) of the computing device being displayed within the distinct segmented area of the AR view. The embodiment may include controlling the computing device via the UI of the computing device displayed within the distinct segmented area of the AR view.

Abstract: A computer implemented method, computer system, and computer program product for executing a voice command. A number of processor units displays a view of a location with voice command devices in response to detecting the voice command from a user. The number of processor units displays a voice command direction for the voice command in the view of the location. The number of processor units changes the voice command direction in response to a user input. The number of processor units identifies a voice command device from the voice command devices in the location based on the voice command direction to form a selected voice command device. The number of processor units executes the voice command using the selected voice command device.

Abstract: One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

Abstract: Embodiments for delay-induced miscommunication reduction are provided.

Abstract: A computer-implemented method executes voice commands issued from within a command boundary. The method includes defining a command boundary for a VCD, where the command boundary is based on receiving an input from a user. The method further includes receiving, from the user and by the VCD, a voice command. The method also includes determining an origination location of the voice command. The method includes classifying the voice command into a command category. The method further includes executing the voice command in response to determining the origination location is within the command boundary for the VCD. The method also includes storing a set of data for the voice command.

Abstract: A processor may enhance user experience in a virtual reality (VR) meeting. A processor may generate a first VR environment of the VR meeting having a plurality of users. In embodiments, the plurality of users may opt into the VR meeting. A processor may analyze meeting activity collected from one or more data collection devices. In embodiments, the meeting activity may be associated with the plurality of users. A processor may identify a meeting modifier in the meeting activity. A processor may alter, responsive to identifying a meeting modifier in the meeting activity, the first VR environment of the VR meeting to generate a second VR environment.

Abstract: A network of Internet of Things (IoT) devices can leverage sensor data from the IoT devices to detect that a device has been activated, determine whether the activation was intentional, and, if it were not, issue commands to deactivate the device. The network can learn over time to correlate trends in sensor data with activations of devices.

Abstract: A method, a computer program product, and a system for enacting ameliorative resource action during an e-conference. Exemplary embodiments of the present inventive concept may include a method for enacting ameliorative resource action during an e-conference. The method may include collecting data from a user's computer device during the e-conference. Features may be extracted from the collected e-conference data. A user's participation within the e-conference and a resource consumption thereof may be forecasted by applying a user activity model to the extracted features. The ameliorative resource action may be enacted based upon the forecasted user's participation and the resource consumption thereof.

Abstract: According to one embodiment, a method, computer system, and computer program product for wearable device activity analysis is provided. A computer receives a video of an activity. The computer identifies the activity based on analyzing the video. The computer identifies body movements from the video. The computer correlates the activity and the body movements to a wearable device. The computer identifies additional inputs for the activity and updates the wearable device based on the identified additional inputs.

Abstract: A computer-implemented method for real-time modification of notification tones to distinguish an intended recipient of a notification tone is disclosed. The computer-implemented method includes monitoring an audio stream of an online conference for one or more audio notification tones. The computer-implemented method further includes detecting that a notification tone generated outside of the online conference matches the notification tone of an application or user device associated with two or more participants of the online conference. The computer-implemented method further includes responsive to detecting that the notification tone matches the notification tone of an application or user device associated with two or more participants of the online conference, generating an ameliorative action associated with the notification tone.

Abstract: In an approach to providing contextual justification for a virtual assistant response, one or more computer processors receive a first voice command from a user. One or more computer processors determine one or more boundary conditions associated with the first voice command. Based on the one or more boundary conditions, one or more computer processors determine a first response to the first voice command and a contextual justification of the first response. One or more computer processors respond to the user with the response to the first voice command and the contextual justification of the response.

Abstract: Provided is a system, method, and computer program product for generating a three-dimensional (3D) printable file of a complete object by re-assembling pieces of a broken object using generative adversarial network techniques. A processor may generate a 3D scan of each piece of a plurality of pieces of a broken object. The processor may assemble the 3D scan of each piece of the plurality of pieces to generate a re-assembled object, where the re-assembled object includes one or more gaps. The processor may fill the one or more gaps in the re-assembled object to create a complete object. The processor may generate a 3D printable file of the complete object.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can predict that one or more objects affects media capture using one or more sensors of a media capture device. Embodiments of the present invention can then determine whether at least one object of the one or more objects is appropriate based, at least in part, on a comparison to an object database used to classify appropriateness for context. Embodiments of the present invention can then determine one or more corrective actions to avoid at least one object determined to be inappropriate from being within the media capture device's field of view.

Abstract: In an approach to assisting users of a collaborative meeting platform, one or more computer processors detect a start of a collaborative meeting. One or more computer processors monitor one or more activities of the collaborative meeting. Based on the one or more activities of the collaborative meeting, one or more computer processors detect a trigger for assistance with a user interface of the collaborative meeting. One or more computer processors retrieve one or more correlated actions associated with the trigger. One or more computer processors perform at least one of the one or more retrieved correlated action within the user interface of the collaborative meeting.

Abstract: A method, computer system, and a computer program product for weather station placement design are provided. Weather data measured at weather stations, current location data regarding current locations of the respective weather stations, and weather forecast data generated by a weather forecast model are received. Forecast performance by the weather forecast model is determined by comparing the weather data to the weather forecast data and so that first weather stations where the weather forecast model had best forecast performance are identified. A weather forecast performance map is generated based on the identified first weather stations. Fractals are generated. The fractals are iteratively matched to the weather forecast performance map to identify a first fractal that most closely matches a layout of the current locations of the first weather stations. A first fractal map that includes the first fractal overlaid on the weather forecast performance map is presented.

Abstract: A computer generates a profile, where the profile comprises one or more programs to monitor. The computer determines a baseline for each of the one or more programs by collecting one or more values associated with a normal operation for each of the one or more programs. The computer detects an anomaly based on deviation of the one or more values from the normal operation. Based on identifying a playbook for the anomaly, the computer applies the playbook on the program from the one or more programs. The computer organizes chat services based on identifying one or more members associated with the anomaly.

Abstract: A method, computer system, and a computer program product for translating a classifier construction into a graphical representation is provided. The present invention may include observing a classifier handshape by an augmented reality device. The present invention may include analyzing the observed classifier handshape according to an object recognition algorithm to determine a contextual meaning of the classifier handshape. The present invention may include converting the contextual meaning of the observed classifier handshape into a graphical representation. The present invention may include displaying the graphical representation alongside the observed classifier handshape on the augmented reality device.