Abstract: A text conversation between at least two users is monitored. A first regarding a first topic is detected. A second message received subsequent to the first message regarding a second topic is detected. A third message received subsequent to the second message regarding the first topic is detected. In response to detecting that the third message regards the first topic of the first message, the third message may be displayed immediately adjacent the first message.

Abstract: Cross-charging among a set of wireless charging IoT devices using prioritizing management rules is disclosed. Device battery status data is received from each wireless charging device in the set of wireless charging devices. A device usage pattern is generated based on user profile data for each wireless charging device in the set of wireless charging devices. At least one priority management rule (PMR) is assigned to at least one wireless charging device in the set of wireless charging devices based on the device battery status data and user profile data from each wireless charging device in the set of wireless charging devices. At least one cross-charging instruction is transmitted to at least one wireless charging device in the set of wireless charging devices based on the at least one PMR.

Abstract: In embodiments, a method includes: defining a plurality of visual icons; receiving a voice message, metadata and voice tagging criteria from a first client device; converting the voice message to text; generating a summary of the converted text; generating keywords based on the summary; categorizing the voice message into categories based on the keywords and the metadata; selecting visual icons based on the categories and the tagging criteria; tagging the voice message with the selected visual icons; and sending the tagged voice message to a second client device.

Abstract: A movement notification is received from a display. The movement notification corresponds to a movement. A set of movement frames that reflect the movement is rendered by a graphical processing unit. The set of movement frames is transmitted to the display. A notification that the movement has ceased is received from the display. A stop command is transmitted to the display. The stop command instructs the display to not display the first subset of frames in the set of movement frames. The first subset of frames reflects the end of the movement.

Abstract: Embodiments describe an approach for concurrently managing a video display and an application user interface. Embodiments describe generating a translucent mask video display over a computer-implemented application and displaying a video in the translucent mask video display over the computer-implemented application. Additionally, embodiments describe detecting user activity associated with the computer-implemented application and pausing the video in the translucent mask video display when the user activity is detected. Responsive to an end to the user activity, embodiments describe translating the detected user activity as a set of computer operations, outputting the set of computer operations for performance on the computer-implemented application, and resuming the video in the translucent mask video display.

Abstract: A set of partial words is received. At least one partial word in the set of partial words is completed. The set of partial words with the at least one completed partial word is run through a trained deep neural network, the trained deep neural network inferring a word embedding associated with an unfinished word in the set of partial words. An inferred word is determined based on the inferred word embedding associated with the unfinished word. A sentence may be output, which includes at least the completed partial word and the inferred word.

Abstract: In one embodiment, a method includes modifying at least one aspect of a notification to be displayed on a first portion of a touchscreen of a device in response to a determination that a second portion of the touchscreen includes and/or overlaps with the first portion of the touchscreen. The second portion of the touchscreen os defined by a point on the touchscreen expected to be imminently touched by a user and predetermined areas of the touchscreen adjacent to and surrounding the point.

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: Methods that can that can identify involuntary movement diseases are provided. One method includes sensing, by a set of sensors of a computing device, behavior of a user while the user interacts with the computing device and identifying, by a processor of the computing device, involuntary movement patterns for the user based on one or more characteristics of the sensed behavior. Systems and apparatus that can include, perform, and/or implement the methods are also provided.

Abstract: In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processing circuit to cause the processing circuit to receive collected data from one or more data collection devices, the collected data being aggregated over at least one month and comprising audio data including first voice input of a user of the one or more data collection devices. The program instructions also cause the processing circuit to store the audio data to a computer readable storage medium; determine an identity of the user based on comparing second voice input to the first voice input; and analyze the audio data for indications of hearing loss in the user over the period of time. The analysis includes determining a user's emotion during production of the audio input.

Abstract: According to one embodiment, a computer-implemented method includes collecting data corresponding to an image of one or more objects captured by a user on an image capture device, wherein the data comprises biometric data, emotion data, image quality data, and context data. In addition, the computer-implement method includes determining an image quality (IQ) value based on the image quality data, determining an emotion (E) value based on at least one of the biometric data and the emotion data, and determining a relationship (R) value between the one or more objects and the user based on the context data. The computer-implement method includes calculating an Overall Emotional Image Quality Score (OEIQS) for the image based on the IQ value, the E value, and the R value, and categorizing the image into at least one of a plurality of predefined categories.

Abstract: Embodiments of the present invention provide a system and method for synchronizing data to update backup files. In one embodiment, data associated with files to be synchronized is sent to a second computer system by a first computers system. The second computer system matches data associated with the files to be synchronized to a database, and the first computer system determines differences between an old and new version of the files to be synchronized and creates a backup of the files. The backup of the files is stored in a storage device.

Abstract: Methods and systems for sharing digital media include locating faces within a digital image. Individuals portrayed in the digital image are identified based on the located faces. The identified individuals are added to an access control list for the digital image to enable the identified individuals to access the digital image.

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 system for transmitting an identification code in a telecommunications system via a mobile device. The mobile device includes a component to generate embed an identification code by generating an inaudible signal. The inaudible signal is either ultrasonic or infrasonic. The mobile device also generates an audible signal based on information received from a microphone associated with the mobile device, merges the inaudible signal with the audible signal to produce a combined signal, and transmits the combined signal from the mobile device to the other device via the wireless network.

Abstract: A processor may initiate a first verification event. The first verification event may be triggered when a mobile device begins generating new data at a first time. The processor may determine, in response to the first verification event, that the mobile device is above a threshold limit of available storage. The processor may analyze one or more applications on the mobile device. The processor may automatically remove a first re-downloadable portion of a first application binary interface associated with a first application from the mobile device. The processor may store the generated new data on the mobile device.

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: In an embodiment, a method for allocating privileges on a computer network includes calculating a permission level based at least in part on a login context associated with a login request for connection to a network from a user via a client device, adjusting the calculated permission level such that a resulting first adjusted permission level does not exceed a previous permission level assigned to the client device, assigning the first adjusted permission level to the client device, collecting activity data representative of network activity by the user while logged in to the network, and classifying, using a classifier model, at least a portion of the activity data to generate a second adjusted permission level for the client device.

Abstract: In an embodiment, a method includes receiving, by a server, a request from a user for translation of a multi-format embedded file (MFEF) document, where the MFEF document includes a plurality of embedded elements. Responsive to the request for the MFEF document, the server automatically identifies element types of the embedded elements, where the embedded elements include a first element type and a second element type. The server also identifies foreign-language embedded elements from among the plurality of embedded elements, where the foreign-language embedded elements are embedded elements that are in a language other than a preferred language of the user. The server selects translators to translate the foreign-language embedded elements, including selecting a first translator for translating the first element type of foreign-language embedded elements and a second translator for translating the second element type of foreign-language embedded elements.

Abstract: Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.