Abstract: A system, apparatus and a method for determining distinguishable data, includes processing input data into a plurality of elements, calculating distinguishability of the plurality of elements using phonetic vowels, and determining distinguishable elements from among the plurality of elements, according to the distinguishability calculation.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining an audio input, the audio input representing sound emanating from a key press based user interface; generating a context pattern based on the audio input; performing classification of the context pattern to classify the context pattern as belonging to a signature pattern classification, wherein the signature pattern classification specifies a user activity; and providing an output based on the performing classification.

Abstract: An approach for retrieving and storing telephone numbers along with related contextual information associated with inbound/outbound communications to/from a device. The approach includes a method that includes combining, by at least one processing device, identification information of an entity and a related communication mechanism used to initiate a communication to a device. The method further includes providing, by the at least one processing device, a soft record that includes the identification information and the related communication mechanism.

Abstract: A method, a computer program product, and a computer system determine and arrange images to include in a visual representation. The method includes receiving a textual statement and identifying a plurality of terms in the textual statement that are to be visualized in the visual representation. The method includes generating a plurality of sequences of images where each image in a given one of the sequences is associated with one of the terms. Each image is associated with at least one tag. The method includes determining a global coherence and a local coherence for each of the sequences based on the tags of the images. The method includes selecting one of the sequences based on the global coherence and the local coherence. The method includes generating the visual representation where the images of the selected sequence are included.

Abstract: An approach for retrieving and storing telephone numbers along with related contextual information associated with inbound/outbound communications to/from a device. The approach includes a method that includes combining, by at least one processing device, identification information of an entity and a related communication mechanism used to initiate a communication to a device. The method further includes providing, by the at least one processing device, a soft record that includes the identification information and the related communication mechanism.

Abstract: Generating image training data for training an autonomous photography agent to learn the preferences and photo-taking styles of a given set of human users. The preferences and/or photo-taking styles include, but are not necessarily limited, to: (i) human users of a certain age group (such as toddlers or adults); (ii) profession of the photo-taker (professional photographer rather than a hobbyist); (iii) health status of the photo-taker; and/or (iv) travel status of the photo-taker (such as a tourist in a new city rather than a resident of a given city).

Abstract: Systems and methods for capturing fluid change history in a vehicle are provided. A method includes: detecting, by a computer device, a fill cap is removed from an inlet port of a fluid reservoir or a drain plug is removed from an outlet port of the fluid reservoir; activating, by the computer device and based on the detecting, one of a fill sensor and a drain sensor; obtaining, by the computer device, fluid characteristics data from one of the fill sensor and the drain sensor; determining, by the computer device, at least one fluid parameter based on the fluid characteristics data; and transmitting, by the computer device, the determined at least one fluid parameter to a remote system via a communication network that is external to the vehicle.

Abstract: A combination of knowledge representation and retrieval, assessments and personalization for a tutoring platform that provides an automated phased word exposition method for vocabulary learning and enable learners to learn words (or any learning objective) with sufficient proficiency and without excessive repetition. The phased learning objective method implements a moving average model that models the learner across multiple dimensions (e.g. reading, listening, writing, speaking) such that the platform is confident of the learner's understanding, while using minimal assessment doses, and such that the understanding transfers across experiences. The method implemented provides for multiple learning and assessment activities for a learning objective and leverages the same learner model for each learning dimension. Each word of a word set passes through learning and assessment-only phases for statistically significant evidence of learning.

Abstract: Personalized video interjections based on a learner model and a learning objective. A method for adding interjections to a video includes analyzing the content of a plurality of videos based on a set of learning objectives, selecting a video based on a learning objective, determining types of video interjections using an analytics engine that compares a learner model and the learning objective, determining a location for the video interjections using the analytics engine, generating a video interjection for each video interjection type and inserting the video interjections into the video at the determined locations.

Abstract: A processor extracts a sentence from a portion of text. The sentence includes one or more words. A concreteness score is determined for each word in the sentence. A set of concrete words is determined based upon a comparison of the concreteness score for each word and a predetermined threshold. A grammatical dependency relationship is determined between the one or more words of the sentence. One or more subsets of search terms is determined based upon the grammatical dependency relationship. Each member of the one or more subsets of search terms is a member of the set of concrete words. One or more images is retrieved from a repository based on the one or more subsets of search terms.

Abstract: A method, a computer program product, and a computer system determine and arrange images to include in a visual representation. The method includes receiving a textual statement and identifying a plurality of terms in the textual statement that are to be visualized in the visual representation. The method includes generating a plurality of sequences of images where each image in a given one of the sequences is associated with one of the terms. Each image is associated with at least one tag. The method includes determining a global coherence and a local coherence for each of the sequences based on the tags of the images. The method includes selecting one of the sequences based on the global coherence and the local coherence. The method includes generating the visual representation where the images of the selected sequence are included.

Abstract: Aspects of the present disclosure relate to ontology refinement using image processing. A scene and a set of objects within the scene of an image are identified by performing image processing on the image. The set of objects is stored in a cluster labeled by the scene. A knowledge graph is then refined using the cluster.

Abstract: A data server receives multiple requests for data cubes that include data related to a user-specified subject matter. The requests are aggregated into an aggregated request, and an initial data cube is retrieved based on the aggregated request. Upon determining that the initial data cube fails to provide requisite data needed by the aggregated request due to data being missing from the initial data cube, the missing data is located and identified as augmentation data. The initial data cube and the augmentation data are sent to senders of the multiple requests for data cubes. Instructions are transmitted to install the initial data cube and the one or more of the sets of data into an electronic device that has been predetermined to be related to the user-specified subject-matter, the installation improves a functioning of the electronic device by modifying an operation of the electronic device.

Abstract: A method, system and computer program product includes detecting a volume level for audio input of a first user in a multi-user conference call, and automatically adjusting a volume level for a second user receiving audio output of the first user based on at least one of preferences of the second user, historic data between the first and the second user, and geographic characteristics of the audio input of the first user.

Abstract: Generating image training data for training an autonomous photography agent to learn the preferences and photo-taking styles of a given set of human users. The preferences and/or photo-taking styles include, but are not necessarily limited, to: (i) human users of a certain age group (such as toddlers or adults); (ii) profession of the photo-taker (professional photographer rather than a hobbyist); (iii) health status of the photo-taker; and/or (iv) travel status of the photo-taker (such as a tourist in a new city rather than a resident of a given city).

Abstract: Generating a preferred media playlist based on a determined activity type. A media item is played from a media library. A computing device collects metadata regarding the played media item. The computing device receives sensor data from one or more sensors. The computing device determines an activity type based upon the received sensor data. The computing device generates a media item record comprising a media item identification for the media item, the metadata collected regarding the played media item, and the determined activity type. The media item records are ranked based upon the metadata regarding the played media and the determined activity type. The computing device generates a preferred media playlist comprising a plurality of generated media item records ranked highest.

Abstract: Embodiments describing an approach to generating, a calibration slide for a presentation. Receiving, a first image of the calibration slide. Receiving, a second image of the calibration slide, wherein the second image of the calibration slide is associated with the projector component. Analyzing, the first image of the calibration slide and the second image of the calibration slide, wherein the analysis comprises: comparing, display attributes between the first and second image of the calibration slide, and identifying, distortions in the second image of the calibration slide. Responsive to the analysis, calibrating, the display attributes of the presentation based on a preset user threshold of acceptance.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying program code changes causing a changed visual appearance of a graphical user interface of a computer application. A code change is received for the computer application in a build system. The code change results in a changed computer application. The changed computer application is run and screenshots of the visual appearance of the graphical user interface are captured and saved during the run. Differences between the saved screenshots are detected to identify changes in the visual appearance of the graphical user interface. The identified changes in the visual appearance are correlated with a particular section of program code causing the changes in the visual appearance.

Abstract: A computer-implemented method for guided vehicle evaluation includes executing on a computer processor the step of receiving a vehicle identification number (VIN) for a vehicle and analyzing maintenance items and repair items for the vehicle from anonymized vehicle data identified by the VIN which identifies deviations from normal maintenance items and repair items identified by a decoded VIN. The anonymized vehicle data includes repair items and maintenance items performed on the vehicle and a vehicle mileage for each repair item and for each maintenance item. Expected service needs for the vehicle are computed based on the identified deviations from normal of maintenance items and repair items, and the expected service needs for the vehicle are displayed.

Abstract: Methods, systems, and computer program products includes, for example, detecting a first personal electronic device associated with a first user in the presence of a second personal electronic device associated with a second user, determining the first personal electronic device in the presence of the second personal electronic device being associated with the first user and the second user being in a business setting, receiving user data regarding the second user in response to the determination of the first user and the second user being in the business setting, and storing the received user data regarding the second user in a first memory for access by the first user on the first personal electronic device.