Abstract: A computer receives a hotspot and a corresponding incentive, where the hotspot is a geolocation for collecting the weather data. The computer presents the received hotspot and the corresponding incentive to a user. The computer receives the weather data from the drone, transmits the weather data to a server, and updates a scorecard with the incentive corresponding to the hotspot based on determining that the drone reached the hotspot.

Abstract: An exemplary method includes obtaining a training set of code data that includes deprecated code; training a multi-layer neural network on the training set of code data to predict usage events for the deprecated code; predicting usage events for the deprecated code, in a first set of code data, using the trained multi-layer neural network; estimating a value of risk associated with the deprecated code in response to the predicted usage events; comparing the estimated value of risk to a threshold; and, in response to the estimated value of risk exceeding the threshold, implementing an ameliorative action regarding the deprecated code.

Abstract: A method, system, and computer program product for identifying reference data values in a source data set. The method may include inputting a block of attribute values to a predefined machine learning model. The method may also include receiving an indication of a presentation layout of the block of the attribute values and an associated reference data extraction method. The method may also include determining a reading direction of the block of values. The method may also include identifying one or more inspection areas in the reading direction of the block of values. The method may also include determining sets of the one or more inspection areas that share a common presentation feature. The method may also include identifying tokens in an inspection area. The method may also include determining if the inspection area includes reference data values. The method may also include outputting the reference data values.

Abstract: A smart lens system may include a hardware processor coupled to a smart contact lens, which may include a microprocessor, an image capturing sensor, and a wireless communication interface. The smart lens system may determine reading factors associated with a user with respect to the user reading content item, based on data related to the user's physiological movements captured by the smart contact lens. The reading factors may include a user's cognitive state determined at least from analyzing data representing the user's physiological movements. Responsive to determining that the user's cognitive state is above a threshold value, the smart lens system may generate an assistive action associated with the content item and transmit a signal to at least one assistive device to perform the assistive action. The assistive device performs the assistive action responsive to receiving the signal.

Abstract: Embodiments are disclosed for generating tables from charts. The techniques include determining a chart type of a selected chart. The techniques include determining a plurality of chart elements of the selected chart. Further, the techniques include determining a plurality of measurements of a plurality of data representations of the selected chart. Additionally, the techniques include determining a plurality of corresponding numeric values for the measurements based on the chart elements. Also, the techniques include generating a data table comprising the chart elements and the corresponding numeric values.

Abstract: A method, a computer system, and a computer program product for adaptive learning is provided. Embodiments of the present invention may include combining a plurality of users of an adaptive learning platform into one or more clusters based on an initial questionnaire. Embodiments of the present invention may include monitoring key events of the plurality of users, wherein the key events are indicative of a level of comprehension of a topic for the plurality of users. Embodiments of the present invention may include adjusting the combination of the plurality of users in the one or more clusters based on the key events. Embodiments of the present invention may include adjusting the initial questionnaire.

Abstract: A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of a smart contact lens. Executing the instructions causes the smart contact lens to measure dimensions of a user's eye to determine a focal length of the user, measure a magnetic field proximate to the user's eye to determine a direction of focus of the user, receive a control input from the user, determine a control signal corresponding to the focal length of the user, the direction of focus of the user, and the received control input, generate the determined control signal, and control a first electronic device by transmitting, by the smart contact lens, the generated control signal to the first electronic device.

Abstract: Embodiments for managing electronic communications by one or more processors are described. A plurality of historical communications are analyzed. Each of the plurality of historical communications is associated with at least one of a plurality of recipients. Reactions of the plurality of recipients to each of the plurality of historical communications associated therewith are analyzed. The analysis of the reactions includes normalizing the reactions to determine a consensus of the reactions. A current communication associated with a sender and the plurality of recipients is analyzed. The current communication is modified based on the analyses of the plurality of historical communications, the reactions of the plurality of recipients, and the current communication. The modified current communication is caused to be transmitted to at least one of the sender and at least some of the plurality of recipients.

Abstract: Embodiments disclosed herein generate visual summaries of data and improve the same using cognitive feedback. In one embodiment, a data visualization application determines properties associated with data or portion(s) thereof, and then generates and combines visualizations of the determined properties into visual data summaries. Examples of visualizations that may be generated include box plots, histograms, graphs, charts, and word clouds. Examples of visual summaries that combine such visualizations include videos, animated GIF (Graphics Interchanged Format) files, powerpoints, PDF (Portable Document Format) files, and web pages. Subsequent to generating visual summaries, the data visualization application may monitor user interactions with those visual summaries and update the same by rebuilding the visual summaries based on the user interactions.

Abstract: A first entity and a second entity can be retrieved from a database and compared. The first entity and the second entity can each comprise at least one respective primary key, at least one respective attribute, and at least one pair of corresponding instances. One or more equivalent attributes can be identified, and, for each equivalent attribute, a set of attribute value differences can be compiled for each respective corresponding instance between the first entity and the second entity.

Abstract: A system and method are provided for predicting a signal strength for a specific location. The method includes operations for predicting mobile device signal strength by building a database of mobile signal information. The mobile signal information includes signal strength for a plurality of mobile devices located at a plurality of three-dimensional, geospatial coordinates and utilizing a plurality of mobile signal providers/carriers. The method predicts, using the database, a signal strength for a particular mobile device at a particular set of three-dimensional, geospatial coordinates utilizing a particular mobile signal provider/carrier and displays the prediction at a specific time.

Abstract: Methods and systems for passive approaching object recognition are disclosed. A method includes: detecting, by a computing device, an object in an area monitored using a camera; determining, by the computing device, whether the object is a known object or an unknown object; and in response to determining that the object is the unknown object, the computer device sending an unmanned aerial vehicle to monitor the object.

Abstract: An example operation may include one or more of identifying a request for a service in an enterprise network, responsive to identifying the request for the service, creating a service request message that includes user profile role information for authorization purposes, creating a blockchain transaction based on the service request message, and responsive to creation of the blockchain transaction, determining audit trail information exists based on audit trail requirements stored in a smart contract, and the audit trail information includes user profile authentication information and the user profile role information.

Abstract: Embodiments of the present invention describe identifying details of the area around a first vehicle and identifying a potential confusion point in a navigation route of the first vehicle. Additionally, embodiments of the present invention determining based on a threshold, whether to provide a driver of the first vehicle with a visual clue to assist with navigating through the identified potential confusion point, responsive to determining to provide a visual clue, identifying one or more visual clues from an area surrounding the first vehicle; and outputting the identified one or more visual clues to the driver.

Abstract: Embodiments for managing electronic communications by one or more processors are described. A plurality of historical communications are analyzed. Each of the plurality of historical communications is associated with at least one of a plurality of recipients. Reactions of the plurality of recipients to each of the plurality of historical communications associated therewith are analyzed. The analysis of the reactions includes normalizing the reactions to determine a consensus of the reactions. A current communication associated with a sender and the plurality of recipients is analyzed. The current communication is modified based on the analyses of the plurality of historical communications, the reactions of the plurality of recipients, and the current communication. The modified current communication is caused to be transmitted to at least one of the sender and at least some of the plurality of recipients.

Abstract: A system and method for managing and controlling data licenses for information assets. An information asset is stored in a repository, and registered in a catalog for the repository. A data license is associated with the information asset in the catalog, wherein the data license is stored as part of the information asset's metadata in the catalog. Access to the information asset stored in the repository is controlled based on the data license. A new data license is automatically created for a new information asset derived from an existing information asset, wherein the new data license is derived from an existing data license for the existing information asset. A lineage graph of the information asset is automatically created for audit purposes, to show that the information asset has been accessed in compliance with the data license.

Abstract: Known geospatial device coordinates are clustered using a clustering algorithm into device clusters with cluster centroids. Each device cluster corresponds to a geographical location. Each cluster centroid is annotated with a regional floor-height value of the respective geographical location. Current device data of a device, including geographic location and elevation, are received. An approximate current floor upon which the first device is located is determined using the elevation of the first device and the annotated regional floor-height value of a closest cluster centroid, the closest cluster centroid determined based, at least in part, on the geographic location of the first device. An individual is directed to the device's geographic location and approximate current floor. The device clusters are re-computed based upon feedback from the individual regarding the device's actual floor.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying pathways in a graph of interconnected nodes. A time series of graph data is captured, which corresponds to events occurring at different nodes in the graph. The graph is traversed to identify consistent and variable pathways, respectively, within the graph. The identified pathways are scored according to a particular feature to establish an expected variance model for the events contained within the graph. Newly received data are compared against the expected variance model to determine a degree to which the newly received data deviates from the expected variance. The variance model is adjusted based on the newly encountered data.

Abstract: A method, computer system, and computer program product for dynamic interaction behavior commentary are provided. The embodiment may include receiving, by a processor, a plurality of posted comments. The embodiment may also include analyzing the plurality of posted comments based on a semantic distance of the topic of discussion measured by content analysis of the plurality of posted comments. The embodiment may further include determining optimal frameworks for a plurality of users in response to a comment from a user within the plurality of posted comments. The embodiment may also include identifying interaction behavior responses containing statistically significant words or phrases that may improve a tone of the next comment when the user responds to a certain post. The embodiment may further include notifying the user when the next statement is generated based on a pre-identified or dynamically-learned interaction behavior comment.

Abstract: Methods and systems for passive approaching object recognition are disclosed. A method includes: detecting, by a computing device, an object in an area monitored using a camera; determining, by the computing device, whether the object is a known object or an unknown object; and in response to determining that the object is the unknown object, the computer device sending an unmanned aerial vehicle to monitor the object.