Abstract: A method for automatically selecting a computing device to offload and process a computer task is provided. The method may include automatically identifying an off-loadable computer task to be offloaded from a first computing device to a second computing device. The method may further include determining a scheduled time and an amount of time for processing the identified off-loadable computer task. The method may further include, based on the identified off-loadable computer task, the scheduled time, and the determined amount of time, automatically identifying available computing devices from the plurality of computing devices for processing the identified off-loadable computer task. The method may further include, selecting the computing device from for processing the off-loadable computer task, wherein selecting a moving edge computing device further includes coordinating the scheduled time and the amount of time for processing the identified off-loadable computer task with a determined travel plan.

Abstract: A video file is detected by a computer system. The video file that is to be provided to one or more client devices. The video file contains a video stream that includes a plurality of video images. A first video image of the plurality of video images is reconstructed based on a first machine learning technique. The first machine learning technique is based on one or more video images that occur temporally before the first video image in the video stream. A reconstruction status of the first video image of the plurality of video images is identified based on the video file and based on a second machine learning technique. An altered video file is generated in response to the reconstruction status and based on the video file.

Abstract: In an approach to improve the management and execution of a task, embodiments receive, by a computing device, the task, divide the task into a plurality of steps, and assign the plurality of steps to an end user and a robotic system. Further, embodiments identify a sequence of predetermined or anticipated motions that will be performed by the robotic system to carry out the plurality of steps, and output a virtual display, by an augmented reality device associated with the end user, the identified predetermined or anticipated motions of the robotic system. Additionally, embodiments communicate guidance, based on the virtual display, to the augmented reality device associated with the end user to guide the end user, and dynamically adjust the guidance based on an identified performance of the end users or the robotic system.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: A processor may receive environment data associated with one or more robotic devices and an environment. The one or more robotic devices may be configured to perform one or more activities in the environment. The processor may analyze the environment data and the one or more activities in the environment. The processor may identify one or more performance factors associated with the environment. The processor may generate one or more simulations associated with the one or more performance factors and the one or more robotic devices in the environment. The processor may apply one or more protective components to the one or more robotic devices. Applying the one or more protective components to the one or more robotic devices may be based, at least in part, on the one or more simulations.

Abstract: A processor may receive user data associated with a voice conversation having one or more participating users. The processor may analyze the user data for voice content associated with the voice conversation and the one or more participating users. The processor may determine a security policy associated with the voice conversation. The processor may identify one or more permission rules from the security policy associated with the voice conversation. The processor may dynamically execute the one or more permission rules to a portion of the voice content associated with at least one participating user. Dynamically executing the one or more permission rules may include modifying the portion of the voice content.

Abstract: A method for device and role-based authentication includes generating a near-body electrical-field via a communication transmitter associated with a user, where a plurality of IoT devices is further associated with the user attempting authentication for access to a location. The method further includes receiving the near-body electrical-field via a communication receiver on an authentication device for identifying the user attempting the authentication. In response to identifying the user based on the near-body electrical-field, the method further includes analyzing a plurality of activities associated with a role for the user and analyzing plurality of resources associated with the user, wherein the plurality resources include at least the plurality of IoT devices associated with the user.

Abstract: A convertible robot including a plurality of modules connected one to another by one of a plurality of joints, wherein the plurality of modules has a first end and a second end that is adapted to allow for removable attachment to the first end. The convertible robot also includes a coupling that reversibly converts the plurality of modules between one configuration and at least one other configuration. One configuration is a snake-arm configuration in which the plurality of modules are in an elongated arrangement. Another configuration is a drone configuration in which the first and second ends of the plurality of modules are attached and in a loop-shaped arrangement.

Abstract: Embodiments for managing personal device security by one or more processors are described. Information associated with activity of a personal device is received. The information is detected utilizing a sensor coupled to the personal device. A signal representative of the received information is generated. An operational state of the personal device is caused to be changed after the generating of the signal.

Abstract: A method of searching for videos includes receiving, by a computer device, a search query from a user computer device. The method also includes determining, by the computer device, a set of videos that satisfy the search query. The method further includes determining, by the computer device, a subset of related videos from the set using metadata to determine a relationship based on date, time, and location. The method additionally includes generating, by the computer device, a consolidated video from the subset of related videos by merging a first portion of a first one of the subset of related videos with a second portion of a second one of the subset of related videos.

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: A computer-implemented method, a computer program product, and a computer system for dynamically altering a code execution workflow using augmented reality (AR). A computer receives, from an AR device of a user, virtual modification of a source code, where the user virtually alters the source code on the augmented realty device. A computer generates an altered execution workflow, based on a virtually altered source code created in the virtual modification. A computer overlays the altered execution workflow on the AR device. A computer executes the altered execution workflow, in response to receiving from the AR device a user request for testing the virtually altered source code. A computer displays on the augmented realty device a result of executing the altered execution workflow. A computer physically alters the source code according to the virtually altered source code, in response to receiving from the AR device satisfactory user feedback about the result.

Abstract: Provided is a computer-implemented method, system, and computer program product for increasing data diversity to enhance artificial intelligence decisions. A processor may generate a corpus of data for a facility, the corpus of data having activities performed by workers at the facility. The processor may select an activity to be completed. The processor may generate, based on the corpus, a first plan for completing the activity, the first plan having a set of tasks for completing the activity and a set of workers to perform the tasks. The processor may collect performance data that is generated when completing the activity using the first plan. The processor may update the corpus of data with the performance data. The processor may analyze the updated corpus of data to identify an aspect for improving efficiency of the first plan. The processor may recommend, based on the analyzing, modification of the first plan.

Abstract: A method providing a support device to assist personnel includes receiving data values from various devices associated with a task being performed by personnel, wherein the various devices include at least one Internet of Things (IoT) device and at least one wearable device. The method also includes comparing the received data values to historical data values associated with a pre-established knowledge corpus and identifying the task being performed by the personnel. In response to determining the received values exceed the historical values by a predetermined threshold for the task being performed by the personnel, the method includes determining whether the personnel require assistance with performing the task. In response to determining the personnel requires assistance with performing the task, the method includes instructing a support device to perform an action to assist the personnel with performing the task.

Abstract: Computer technology for performing dynamic code branching of self-adapted code upon successful execution of a contextual scenario by artificial intelligence (AI) enabled edge device (for example, an autonomous vehicle or an industrial robotic device). predicting a second contextual scenario where the AI enabled edge device can perform a predetermined activity, and proactively deploying self-adapted code on the AI enabled edge device.

Abstract: A computer-implemented method for dynamic landscape channeling using an autonomous robotic soil dredger. The method derives one or more landscape metrics, wherein the one or more landscape metrics comprise soil metrics, environmental conditions, and vegetation water consumption metrics. The method further generates a digital twin of proposed trench and ridge metrics based on the derived one or more landscape metrics, wherein the proposed trench and ridge metrics comprise a depth of the trench, a distance between one or more trenches, a stream size, a slope of the trench, and a shape of the trench. The method further determines a trench pattern based on the generated digital twin of the proposed trench and ridge metrics and collaborates with the autonomous robotic soil dredger to generate the trench pattern.

Abstract: A 3D printing system comprising, an extendable body, a material delivery system, a first wall adhesion device, and a second wall adhesion device.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: An indication associated with an AI mode enabled by an AI system is received from a user with an affirmative opt-in status. A first task request associated with the user is identified. One or more instructions associated with the first task request are contextually recognized. The first task request is completed based on the contextually recognized one or more instructions.

Abstract: An apparatus, worn over the eyes of a user, that restores visual clarity to the user in response to a change associated with a film of fluid over the apparatus. In an embodiment the apparatus includes a smart contact portion having at least a first convex surface, a second convex surface, and a concave surface. The apparatus further includes set of liquid thickness sensors embedded upon the first convex surface. The apparatus further includes an electrochemical storage device and a computing module. The apparatus further includes a plurality of ultrasonic transducers embedded upon the first convex surface. The apparatus further includes an electroactive lens structure embedded within central portion of the first convex surface. The apparatus further includes lens controllers that apply electrical signals to the electroactive lens structure to change at least one physical characteristic of the electroactive lens structure based on control signals from the computing module.