Abstract: A computer system performs corrective operations during a three-dimensional (3D) printing job. The 3D printing job is initiated to produce a physical object. Printing of the physical object is monitored to identify a defect of the physical object during the printing. The defect is analyzed to determine one or more corrective operations to apply to the physical object. The one or more corrective operations are performed during the printing. Embodiments of the present invention further include a method and program product for performing corrective operations during a 3D printing job model in substantially the same manner described above.

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: In an approach to predicting and managing a collaboration delay, one or more computer processors detect a start of a first collaborative meeting. One or more computer processors identify one or more attendees of the first collaborative meeting. One or more computer processors determine a status of one or more missing participants. Based on the status, one or more computer processors predict a delay duration and a reason for a delay of at least one of the one or more missing participants. Based on the prediction, one or more computer processors determine a first reschedule recommendation for the first collaborative meeting. One or more computer processors present the first reschedule recommendation to the one or more attendees. One or more computer processors reschedule the first collaborative meeting. One or more computer processors notify the one or more attendees of the first collaborative meeting of the reschedule.

Abstract: The present specification describes a computer-implemented method. According to the method, an electronic file to be stored is received and a first context determined for the electronic file. The electronic file is split into multiple segments such that the first context of the electronic file is not discernible from any segment. The multiple segments are then distributed amongst multiple remote storage devices.

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 are a computer program product, system, and method for rendering information in a gaze tracking device on controllable devices in a field of view to remotely control. A determination is made of a field of view from the gaze tracking device of a user based on a user position. Devices are determined in the field of view the user is capable of remotely controlling to render in the gaze tracking device. An augmented reality representation of information on the determined devices is rendered in a view of the gaze tracking device. User controls are received to remotely control a target device comprising one of the determined devices for which information is rendered in the gaze tracking device. The received user controls are transmitted to the target device to control the target device.

Abstract: Pairing of multiple devices is initiated using a computer in an artificial intelligence (AI) ecosystem. A command is received at a computer to perform a user activity at a location which includes pairing a user device to a selectable device at the location. The context of the command is analyzed including a historical corpus regarding previous pairings and connection preferences. A device at the location is selected based on the analysis and the determining of the user activity. Pairing is automatically initiated for the user device to the selected device at the location based on the analysis of the context of the command. The automatic initiation includes adjusting settings on the user device based on the analysis of the context of the command. The user device is automatically paired to the selected device at the location to perform the user activity.

Abstract: Adapting specifications of an artificial intelligence (AI) ecosystem are adapted, using a computer, based on an existing AI ecosystem of a user. A login is received, at the computer having a remote-based account of a user, to a new AI ecosystem. Specifications are determined from an existing AI ecosystem of the user, and the specifications include preferences and historical data related to the existing AI ecosystem based on usage of existing machines. Adaptive functionality is derived, using the computer, for new machines in the new AI ecosystem. The adaptive functionality is based on the specifications including the preferences and the historical data for the existing AI ecosystem. The specifications including the adaptive functionality is applied to the new machines of the new AI ecosystem.

Abstract: Aspects of the present invention disclose a method for safeguarding an audio device by enabling the audio device to perform harm prevention and retrieval related task based on detecting a set of conditions within an operating environment of the audio device. The method includes one or more processors determining a freefall event of an audio device is occurring. The method further includes one or more processors determining an operating environment type of a surface the audio device contacts after the freefall event ends, wherein the operating environment type of the surface indicates liquid is present. The method further includes responsive to the indication that water is present one or more processors taking a liquid mitigation action.

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: A method can include obtaining personal data of a user and generating, based at least in part on the personal data of the user, a taste profile of the user. The taste profile can include a set of food characteristics that corresponds to one or more food preferences of the user. The method can include obtaining contextual data that corresponds to a location of the user. The method can include generating, based at least in part on the taste profile and the contextual data, a food recommendation. The food recommendation can include a predicted food preference of the user. The method can include transmitting the food recommendation to the user.

Abstract: Dynamic logging includes generating parsed event data by at least one natural language processor responsive to event data of a log for transactions of a target application. In response to the parsed event data, a first classifier classifies context states of the respective transactions of the target application. In response, a second classifier classifies trouble prone states of the respective transactions, wherein the trouble prone states are for respective hierarchical levels. When a logic module determines, for a current one of the trouble prone states for a current transaction, that the current trouble prone state is a higher trouble prone level than for a transaction immediately preceding the current transaction, the logic module sends an increased log detail selection to the target application, so that a greater amount of log detail is logged for at least a next transaction after the current transaction.

Abstract: An embodiment for adjusting digital content in a flexible display device based on a surface profile of the flexible display device and viewing direction of a user is provided. The embodiment may include receiving a surface profile of a flexible display device. The embodiment may also include in response to determining the surface profile does not indicate that a flexible display device surface is flat, identifying a viewing direction of a user relative to the surface profile. The embodiment may further include identifying an optimal viewing configuration of the flexible display device. The embodiment may also include presenting the optimal viewing configuration to the user. The embodiment may further include adjusting a display of digital content on a screen of the flexible display device. The embodiment may also include receiving feedback from the user regarding a preferred viewing direction and a preferred configuration of the flexible display device.

Abstract: In an approach to governance of document printing, one or more computer processors receive a request from a user to print a document. One or more computer processors identify a content and a context of the document. Based on the content and the context of the document, one or more computer processors determine whether the request complies with one or more printing policies. Responsive to determining the request complies with the one or more printing policies, one or more computer processors determine one or more format attributes of the document. Based on the one or more format attributes, one or more computer processors determine whether the document format is optimized, where optimization minimizes use of one or more printing supplies. Responsive to determining the document format is not optimized, one or more computer processors provide a recommendation for optimizing the document format to the user.

Abstract: An approach to multi-device collaboration authentication may be provided. The approach may include generating a password in response to a user requesting access to a service or application on a primary device. The approach may include dynamically determining whether secondary devices are located physically near a primary device. The generated password may be segmented into two or more parts, based on the number of secondary devices the physically located near the primary device. A password segment can be sent to the primary device and another segment of the password can be sent to the secondary device determined to be physically near the primary device. The approach can include receiving the password segments in prescribed manner to provide authentication and grant access to the requested application or service.

Abstract: Aspects of the present invention disclose a method for managing aggregated comments of a forwarded media based on the sentiments of the forwarded media and relevance to a user. The method includes one or more processors identifying a user based at least in part on information provided by the user. The method further includes accessing user activity data utilizing the information provided by the user. The method further includes generating a first profile corresponding to the user based at least in part on the user activity data. The method further includes determining one or more preferences of the user based at least in part on the generated first profile. The method further includes identifying segments of textual data of forwarded media the user receives based at least in part on the preferences of the user, wherein the textual data corresponds to a comment associated with the forwarded media.

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 computer-implemented process includes the following operations. Interface data for a first computer application having a first interface configured to exchange data with a second computer application is identified. The interface data is aggregated using a machine learning engine, and the machine learning engine performs contextual analysis on the aggregated interface data to identify a context. A fix pack for the first computer application is generated using the context from the contextual analysis. The fix pack is caused to be applied to the first computer application. The fix pack includes an installable for the first application to transform notations used by the second computer application when communication with the first application.

Abstract: Cognitive enablement can include detecting sensor-generated signals received from one or more network-configured sensors, the sensor-generated signals corresponding to physical movement of an audience member during a presentation by a presenter. The sensor-generated signals can be converted to vectorized data structures for inputting to a classification model generated with machine learning. The physical movement can be classified as a prelude to a likely audience interaction, the classifying performed by the classification model based on the vectorized data structures. In response to the classifying, an audience member attribute associated with the audience member can be determined. An audience interaction can be predicted based on the audience member attribute using a prediction model generated with machine learning. A predictive alert corresponding to the predicted audience interaction can be generated.

Abstract: Cognitive enablement can include detecting sensor-generated signals received from one or more network-configured sensors, the sensor-generated signals corresponding to physical movement of an audience member during a presentation by a presenter. The sensor-generated signals can be converted to vectorized data structures for inputting to a classification model generated with machine learning. The physical movement can be classified as a prelude to a likely audience interaction, the classifying performed by the classification model based on the vectorized data structures. In response to the classifying, an audience member attribute associated with the audience member can be determined. An audience interaction can be predicted based on the audience member attribute using a prediction model generated with machine learning. A predictive alert corresponding to the predicted audience interaction can be generated.