Abstract: The present invention may include a computer that intercepts a video stream. The computer determines user preferences associated with the user based on identifying the user using an optical instrument. The computer identifies one or more faces from the video stream of the video conference and obfuscates the video stream based on the user preferences associated with the one or more faces.

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: According to one embodiment, a method, computer system, and computer program product for mitigating computer fan noise. The embodiment may include retrieving a previously generated baseline profile for a user participating in a real-time e-conference call via a computing device. The embodiment may include identifying real-time hardware and software metrics of the computing device. The embodiment may include calculating a current fan indicative noise (FIN) score for the call based on the baseline profile and the identified metrics. The embodiment may include determining whether the current FIN score is above a threshold value. In response to determining that the FIN score is above a threshold value, the embodiment may include determining whether the computing device is at risk of damage. In response to determining that the computing device is not at risk of damage, the embodiment may include limiting operation of one or more fans of the computing device.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present (i) visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions and (ii) identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes, for each of the tasks, building and providing a respective task element that reflects identified features of a set of user interactions of one or more users in progressing through that task. Building a task element for a task includes building the task element as a polygon having vertices corresponding to subtasks of the task and edges between the vertices.

Abstract: The present invention may include a computer that intercepts a video stream. The computer determines user preferences associated with the user based on identifying the user using an optical instrument. The computer identifies one or more faces from the video stream of the video conference and obfuscates the video stream based on the user preferences associated with the one or more faces.

Abstract: According to one embodiment, a method, computer system, and computer program product for identifying cloud storage destination. The embodiment may include identifying content of a data file being created or updated. The embodiment may include identifying cloud storage criteria of the data file. The embodiment may include determining whether an existing storage solution within a cloud storage service provider (CSSP) knowledge corpus is applicable to the data file. In response to determining that an existing storage solution is not applicable to the data file, the embodiment may include creating a new storage solution for the data file based on the identified content and cloud storage criteria of the data file.

Abstract: Systems, methods, and computer programming products for generating, rendering and/or displaying a computer-generated virtual environment as augmented reality and/or virtual reality. The physical boundaries containing the active area where the virtual environments are rendered and displayed are established. Based on the constraints and characteristics of the physical boundaries, virtual environments are mapped using assets from real, historical and/or fictitious locations. The assets can be dynamically re-sized and distanced to fit constraints of the physical space. Based on historical levels of interactivity with the selected environments, the virtual assets can be sorted and tagged as points of interest or filler assets, then mapped to the virtual environment using GAN technology and other machine learning techniques to re-create unique versions of the selected environments.

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: Systems, methods, and computer programming products for dynamically managing the uninstallation and/or re-installation of software applications stored or accessed by a computing system, including mobile devices. Management of the applications by the system can be periodically managed automatically or based on recommendations. Management of applications being uninstalled or reinstalled may be determined based on a rate a user accesses the application and/or data published or accessible by an application storefront, such as user reviews, storefront rankings, user feedback and uninstallation rates of the applications by other users. Applications experiencing a decreased level of average user satisfaction below a predetermined threshold can be proposed for deletion or automatically deleted. Replacement of underperforming or unsatisfactory applications with alternative applications having similar functionality but a higher rate of user satisfaction can be recommended or installed.

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: Head movements can be detected by various sensors. The head movements are tracked over time, and the data is stored in a knowledgebase. User actions are also detected and tracked in the knowledgebase. Therefore, associations between head movements and user actions can be learned and predicted. Upon detecting a head movement associated with a user action, the user action can be executed.

Abstract: A system for receiving a corpus of sign language data in which a plurality of known signs each correspond to known meanings, generate a model for identifying new sign language signs using the corpus, and identifying, using the model, a new sign language sign that does not match any of the plurality of known signs.

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.