Abstract: Providing an Artificial Intelligence (AI) and Internet of Things (IoT) based system and method that predicts the chronological requirements for various components of the file-being-stored, and then takes an appropriate storage action on each component based on the predicted chronological requirements.

Abstract: A contact lens for application to a human eyeball capable of emitting ultrasonic pressure waves from a plurality of piezoelectric transducers to mitigate the effects of airborne eye irritants and infectious microorganisms. The piezoelectric transducers converts mechanical energy applied upon the contact lens from the eyelid as the eyelid blinks and/or winks into electrical energy to be used for emitting ultrasonic pressure waves from the piezoelectric transducers. The ultrasonic pressure waves destroy airborne microorganisms near the contact lens. A photodiode onboard the contact lens indicates when the eyelid is not closed in order to limit or prevent emission of ultrasonic pressure waves from the piezoelectric transducers while the eyelid is closed. An antenna onboard the contact lens receives information from augmented reality glasses or other computing devices.

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 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: Systems, methods and/or computer program products personalizing user interactions with virtual agents of applications and/or services, using audio/visual components customized to appeal to user preferences. Upon initial interaction with virtual agents, AI ranking algorithms are triggered to adopt the highest ranked persona for the virtual agent based on previous positive interactions with the user, learned preferences, the user's state inferred from facial expressions, body language, tone. Personas can emulate voice signatures of popular characters, actors, celebrities and sports figures, and access a corpus of dialogue of the available personas to learn unique speech patterns, slang, tone, grammar, speed, and vocabulary.

Abstract: Generating, using a computer, a digital twin model or simulation for organ transplant or organ repairs where organ data of an organ for a patient is received at a computer. Organ parts are identified based on organ data, and the organ parts include a retained portion of the organ and a replacement portion of the organ. A digital model is generated as a digital twin simulations of the organ parts based on the received organ data. Parameters for the organ parts is determined, which include dimensions of the retained portion of the organ and dimensions of the replacement portion of the organ.

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: A method includes: predicting a jeopardy associated with an edge server included in the server cluster that communicates with a central server; responsive to predicting the jeopardy, detaching the edge server from the server cluster; determining a patch based on the jeopardy; pushing the patch to the edge server; validating the patch by performing regression testing; and responsive to validating the patch, inducting the edge server into the server cluster.

Abstract: Propagation of pathogens is reduced by configuring internet of things (IoT) sensors along a supply chain of package; and analyzing the packages in the supply chain using the IoT sensors to determine handling requirements of products. The packages can be tracked with a package handling confirmation engine including a Region Based Convolutional Neural Network (RCNN) to determine with the IoT sensors measuring interactions with the packages that parties in the supply chain are handling the packages in accordance with the handling requirements. Product distribution can be stopped through the supply chain in response to the interactions with the packages failing to meet the handling requirements.

Abstract: Automated delivery coordination and meeting scheduling for an order including a plurality of recipients includes identifying, by a computer, an online business transaction performed by a user. The online business transaction including the order being placed by the user for the plurality of recipients. The computer determines whether the order is associated with an event that includes the plurality of recipients and, in response to the order being associated with the event, collects information corresponding to the event. The computer uses the collected information to generate a first recommendation during checkout including a synchronized delivery option for the plurality of recipients. Further, using the collected information, the computer generates a second recommendation during the checkout including a synchronized meeting scheduling option for the plurality of recipients.

Abstract: A method, system, and computer program product for augmented reality-based environmental parameter filtering are provided. The method determines an environmental parameter by a wearable augmented reality (AR) device. A visualization of the environmental parameter is generated on a display of the wearable AR device. The method generates a set of control options on the display of the wearable AR device. The set of control options are configured to modify the environmental parameter. A user interaction with the wearable AR device is detected. The user interaction selects a control option of the set of control options. The method interacts with an external device to modify the environmental parameter based on the selected control option.

Abstract: In an approach to meeting summarization for disconnected participants, one or more computer processors detect a start of a collaborative meeting. One or more computer processors monitor a connection to the collaborative meeting of each of one or more participants. One or more computer processors determine a first participant of the one or more participants has disconnected from the collaborative meeting. One or more computer processors record the collaborative meeting. One or more computer processors determine the first participant has re-connected with the collaborative meeting. One or more computer processors synthesize, a first summary of a portion of the collaborative meeting missed by the first participant. One or more computer processors to synthesize, a second summary of a portion of the collaborative meeting recorded after the first participant re-connected with the collaborative meeting. One or more computer processors present the first summary and the second summary to the first participant.

Abstract: A method for entity validation of a content originator includes identifying a content post in a public forum viewable by a user, where an entity claims to be an originator of the content post. The method also includes, responsive to gathering metadata for the content post, determining, utilizing natural language processing and a classification algorithm, a topic for the content post based on a plurality of extracted words from the content post. The method also includes identifying a plurality of similar content posts relative to the content post based on the topic and the entity and determining a score for the entity claiming to be the originator of the content post, where the score represents a likelihood that the claimed entity is the originator of the content post. The method also includes, responsive to the score being below a verification threshold value, performing ameliorative actions on the content post.

Abstract: A method for receiving an app-use contextual data set, applies artificial intelligence style machine logic to the app-use contextual data in order to generate a recommendation that the app should be subject to a recommended revision, in response to the generation of the recommended revision, makes the recommended revision in a dynamic manner, stores the app-use contextual data set in the form of a plurality of blockchain data structures, and operates around contextual reset/roll-back/restore scenarios in a hybrid cloud environment.

Abstract: A method, computer system, and a computer program product for automated urgency detection is provided. The present invention may include capturing at least one caller parameter. The present invention may include determining whether an incoming call is urgent. The present invention may include conveying a determined urgency to a receiver of the incoming call.

Abstract: An embodiment of the present invention monitors a process across a plurality of systems associated with a supply chain. A context is determined for an order, where at least one of the features of the context includes information from a networked sensing device. One or more first machine learning models identify a plurality of orders of an order history having features corresponding to the order. A second machine learning model is trained with the identified plurality of orders to predict the monitoring interval for the order. The second machine learning model predicts the monitoring interval for the order based on the context of the order. The monitoring interval for the order is dynamically adjusted based on the predicted monitoring interval, and the order is monitored through an order fulfillment process across the plurality of systems associated with the supply chain in accordance with the adjusted monitoring interval.

Abstract: Aspects of this disclosure include a method for repairing a component having narrow passage, a three-dimensional printer, and composition for three-dimensional printing. One embodiment of the method may comprise mixing a filler material for three-dimensional printing with a carrier fluid, and applying a controlled electromagnetic field to bias the filler material towards a repair location in a narrow passage of a component. The method may further comprise coating a ferromagnetic material with the filler material to form a microcapsule, wherein the ferromagnetic material is adapted to interact with the controlled electromagnetic field to attract the microcapsule to the repair location. 3D printing techniques may be used to coat the ferromagnetic core with the filler material.

Abstract: Provided is a method, computer program product, and system for predicting a location of an object using machine learning. A processor may monitor a data stream received from one or more observation devices. The processor may detect a gesture initiated by a user from the data stream, the gesture indicating that the user is searching for an object. The processor may identify the object by analyzing a set of contextual data associated with the user. The processor may predict, in response to identifying the object, a location of the object by analyzing historic data associated with the object from the data stream. The processor may output the predicted location of the object to the user.

Abstract: In an approach to controlling voice command execution via boundary creation, one or more computer processors determine one or more devices included in an Internet of Things platform. One or more computer processors receive, from a user, an indication of a boundary around two or more devices of the one or more devices. One or more computer processors create a boundary around the two or more devices of the one or more devices. One or more computer processors receive a voice command from the user associated with the two or more devices of the one or more devices. One or more computer processors transmit the voice command to the two or more devices of the one or more devices within the boundary.

Abstract: Generating a composite screenshot including contextually relevant screenshots and displayed information. The composite screenshot includes one or more screenshots captured from a display screen of a requesting user. Contextual relevance is determined according to collected user communications data such as IoT interactions, social media posts, and chat session transcripts.