Abstract: In an approach for automatically generating and adding a timestamp to a comment left by a user on a media post based on a specific part of the media post referenced in the comment, responsive to receiving a comment on a media post, a processor completes a visual analysis and linguistic analysis of the media post. A processor completes a linguistic analysis of the comment. A processor performs a linguistic intent correlation analysis to determine a part of the media post that correlates to the comment. A processor determines a timestamp for the part of the media post. A processor adds the timestamp to the comment.

Abstract: Embodiments for managing call-to-action elements by one or more processors are described. User data is received from at least one data source associated with the user. Based on the user data, a label for a call-to-action element to be rendered by a computing node is determined. A signal representative of the determined label for the call-to-action element is generated.

Abstract: Detecting potential safety issues is provided. An image is received from an imaging device located on a vehicle. The image is analyzed to identify an object. The object identified in the image is compared with images of objects stored in a database to determine a potential safety issue associated with the object. A set of protective roadway barriers is identified in an area of the vehicle and the object. An adjustment to operation of the vehicle is calculated based on the potential safety issue and the set of protective roadway barriers. The operation of the vehicle is adjusted based on the calculated adjustment.

Abstract: An embodiment includes receiving, by one or more processors, a scene reference that corresponds to a reference state of the scene. The embodiment also includes comparing, by one or more processors, the candidate portion and the scene reference such that the comparing provides an indication of an irregularity in the candidate portion. The embodiment also includes responsive to the indication of the irregularity in the candidate portion, automatically evaluating the irregularity, using one or more processors, such that the evaluating generates a severity value associated with the irregularity. The embodiment also includes, responsive to the generating of the severity value, automatically initiating, by one or more processors, a selected remedial action from among a plurality of remedial action options based at least in part on the severity value, wherein the automatic initiation of the selected remedial action includes automatic actuation of an element of video production equipment.

Abstract: A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Abstract: A computing device associated with a user obtains contextual data associated with the user. The contextual data includes information indicating a current location of the user relative to the computing device. The computing device selects one or more applications provided by the computing device based on results of an analysis of the contextual data, and projects one or more holographic objects representing the one or more applications into a viewable area located a predetermined distance from the user.

Abstract: A method and system for recycling electronic waste is provided. The method includes detecting electronic devices at a location of a user of a mobile device. Identification data identifying each electronic device is retrieved and a status for each device is determined. The electronic devices are analyzed with respect to electronic waste data and values for the electronic devices are determined with respect to recycling options. A score for each electronic device is generated and a comparative analysis is executed for the electronic devices with respect to the values and recycling options. Recommendations associated with the values and recycling options are generated and presented to the user via the mobile hardware device. The user selects a recycling option with respect to the recommendations and a recycling process associated with the recycling option selection is enabled.

Abstract: An approach for analyzing and predicting a pattern of debris accumulation in area based on a deviation in mobility pattern. The approach includes receiving data from one or more sensors from an area and identifying objects based on the received data. The approach determines whether the received data is a first instance and stores the data. Based on the stored data, the approach analyzes, via machine learning, a mobility pattern associated with the retrieved data. Furthermore, the approach generates an actionable task list based on the analyzed data and instructs one or more computing devices based on the actionable task list.

Abstract: Adjusting a video playing on a computer, which can begin with opening a multimedia file on a multimedia application. The multimedia file to be displayed on a graphic user interface of a screen of a computing device. A method and system may further include detecting with a video play supervisor a pause signal, the pause signal selected from the group consisting of a computing environment signal indicating that a window is opened on the graphic user interface overlying the running display of the video component, an external environment factor signal; and a change in audience signal. The video play supervisor may send a pause command from the video play supervisor to the multimedia application to suspend broadcast of the multi-media file.

Abstract: A method, computer system, and computer program product for optional material selection for 3D printed package are provided. The embodiment may include deriving a delivery window of a shipping package from a delivery provider. The embodiment may also include deriving an expected package outdoor exposure at a delivery destination. The embodiment may further include deriving an expected exposure duration. The embodiment may also include retrieving weather forecast for the derived delivery window, the derived package outdoor exposure and the derived exposure duration. The embodiment may further include generating a forecast precipitation exposure, a forecast UV exposure and a forecast temperature exposure based on the retrieved weather forecast. The embodiment may also include scoring a 3D packaging material suitability for each packaging material.

Abstract: Approaches presented herein enable communication of audio messages using augmented reality. More specifically, a set of captured messages are analyzed to determine, for each message of the set of messages, whether the message is relevant to a user. At least one message of the set of messages is associated with a real-world object over which to display the at least one message in an augmented reality environment. A time limit is assigned to the at least one message based on the analyzed relevance to the user. In the case that a current time is within the time limit, the at least one message is displayed on a display of a mobile device associated with the user when a camera of the mobile device is directed at the real-world object associated with the at least one message.

Abstract: By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.

Abstract: Techniques for composite imagery rendering in a diminished reality environment for medical diagnosis are provided. In one aspect, a method for composite image rendering in a diminished reality environment for medical diagnosis includes: analyzing medical imagery scans for a patient visiting a medical office for consultation with a physician for a diagnosis; obtaining real-time images of the patient who is physically located in the medical office; creating a composite image of the patient comprising relevant portions of the medical imagery scans combined with the real-time images of the patient; selecting one or more portions of the composite image to diminish for the diagnosis; and rendering the composite image in a diminished reality environment.

Abstract: A computer-implemented method includes: receiving, by a computing device, an input file defining correct spellings of one or more transliterated words; generating, by the computing device, suffix outputs based on the one or more transliterated words; generating, by the computing device, a dictionary that maps the suffix outputs to the one or more transliterated words; recognizing, by the computing device, an alternatively spelled transliterated word included in a document as one of the one or more correctly spelled transliterated words using the dictionary; and outputting, by the computing device, information corresponding to the recognized transliterated word.

Abstract: In an approach to training image classification models through the creation and utilization of stub images, one or more computer processors tag ground truth data utilizing subject matter expert inputs for a classification. The one or more computer processors extract one or more features and one or more boundaries from the tagged ground truth data. The one or more computer processors tag the one or more extracted features and the one or more extracted boundaries. The one or more computer processors generate one or more stub images by incorporating the one or more tagged features, and the one or more tagged boundaries at a confidence level. The one or more computer processors train a classification model utilizing the one or more generated stub images. The one or more computer processors deploy the trained classification model.

Abstract: Methods, computer program products, and systems are presented. The methods computer program products, and systems can include, for instance: obtaining order information for a plurality of package delivery orders, wherein the order information includes one or more package pickup stop and one or more package drop off stop; and determining one or more optimized package delivery route for one more vehicle using the order information, wherein an optimized package delivery route of the one or more optimized package delivery route includes a first stop associated to a first order of the plurality of package delivery orders and a second stop associated to a second order of the plurality of package delivery orders.

Abstract: A computer-implemented method includes: receiving, by a computing device, a user query; determining, by the computing device, a response to the user query; determining, by the computing device, a sensitivity level of the response; generating, by the computing device, presentation instructions for presenting the response based on the sensitivity level; and presenting, by the computing device, the response in accordance with the presentation instructions.

Abstract: A computer-implemented method for streaming multimedia data includes receiving a request to stream, by a first computing device, a first multimedia data file stored on a second computing device. The computer-implemented method further includes determining a first recommendation to skip viewing of a first logical segment included in the multimedia data file, wherein the first recommendation is based, at least in part, on analyzing a set of user insight information corresponding to a first classification associated with the first logical segment. The computer-implemented method further includes determining that a first confidence score associated with the first recommendation is below a predetermined threshold level. The computer-implemented method further includes providing, in response to determining that the first confidence score is below the predetermined threshold level, the first recommendation to a user while streaming the first multimedia data file via the first computing device.

Abstract: Systems and methods for overlaying video segments of actions of audience members with video segments of an event performer are described. A computer implemented method includes: identifying, by a computer device, an event performer in video content; identifying, by the computer device, an audience member in the video content that has a social network relationship to the event performer; correlating, by the computer device, an action of the event performer in the video content to an action of the audience member in the video content; and generating, by the computer device, a composite image comprising an image of the action of the event performer and an image of the action of the audience member.

Abstract: A self-learning natural-language generation (NLG) system receives raw data from Internet-of-Things sensors or other data sources and a set of natural-language reports previously generated from the raw data by a legacy report-generation mechanism. The system divides the reports into two groups that are distinguished by differences in temporal characteristics of the reports or of the raw data from which each report is generated. The system performs a diachronic linguistic analysis that correlates values of the temporal characteristics with differences between linguistic features of each report group's natural-language text. The system creates translation rules that instruct the NLG system how to reproduce these differences and uses the rules to translate the raw data into its own natural-language reports.