Abstract: Computer-implemented event detection includes obtaining, at one or more processors, multimedia data including multiple frames of video data and corresponding audio data. The processor(s) process the multiple frames to detect at least one object and to track the object(s) between two or more of the frames. The processor(s) generate sonification audio data representing a position of the object(s) in the two or more frames, movement of the object(s), or both the position and the movement of object(s). The processor(s) generate combined audio data including the audio data and the sonification audio data. The processor(s) generate one or more feature vectors representing the combined audio data and provide the feature vector(s) as input to a trained event classifier to detect an event represented in the multimedia data.

Abstract: A method, computer system, and a computer program product for generating a custom object is provided. The present invention may include extracting a plurality of constituent components from a static list of previously determined objects associated with a place of purchase. The present invention may then include receiving, from a user, one or more custom objects based on the extracted plurality of constituent components from the place of purchase. The present invention may also include generating, dynamically, a price for each of the one or more selected custom objects based on the extracted plurality of constituent components. The present invention may further include presenting, to the user, the selected one or more custom objects.

Abstract: A computer-implemented method for assigning one or more conveyor belts to convey a plurality of items. The computer-implemented method determines an availability of one or more conveyor belts, determines a quantity of a plurality of items to be loaded onto the one or more conveyor belts, and assigns the one or more conveyor belts to convey the plurality of items, based on the determined quantity of the plurality of items to be loaded onto the one or more conveyor belts. The computer-implemented method further tracks a location of each of the plurality of items on the assigned one or more conveyor belts, associates each of the plurality of items with a user, and directs the user to the one or more conveyor belts based on the tracked location of each of the plurality of items associated with the user.

Abstract: A computer-implemented method for assigning one or more conveyor belts to convey a plurality of items. The computer-implemented method determines an availability of one or more conveyor belts, determines a quantity of a plurality of items to be loaded onto the one or more conveyor belts, and assigns the one or more conveyor belts to convey the plurality of items, based on the determined quantity of the plurality of items to be loaded onto the one or more conveyor belts. The computer-implemented method further tracks a location of each of the plurality of items on the assigned one or more conveyor belts, associates each of the plurality of items with a user, and directs the user to the one or more conveyor belts based on the tracked location of each of the plurality of items associated with the user.

Abstract: A computer-implemented method for supporting combinations of intents in a conversation service. In one embodiment, the computer-implemented method provides a conversation service using a set of conversation trees. Each conversation tree within the set of conversation trees comprises a list of intents that define how to answer to a certain type of user input. The computer-implemented method creates an intent graph using the list of intents of each conversation tree within the set of conversation trees. The computer-implemented method adds composite intents to the set of conversation trees using the intent graph to generate a set of updated conversation trees. The computer-implemented method configures the conversation service to use the set of updated conversation trees that comprises composite intents for supporting combinations of intents.

Abstract: Aspects include learning object/action pairs for recipe ingredients. A method includes extracting an ingredient list that includes a plurality of entries from a recipe stored in an electronic format. Each of the plurality of entries includes one or more words. For each multi-word entry in the ingredient list, an ingredient associated with the entry is identified by comparing words contained in the entry to terms in a lexicon of cooking domain terms. It is determined whether an action corresponds to the identified ingredient. The determining includes parsing the entry to locate a verb that is associated with the identified ingredient. Based on determining that an action corresponds to the identified ingredient, a food item action pair that includes the identified ingredient and the located verb is output.

Abstract: In an approach to determining one or more logical breaks in a digital text, a computer determines a reading speed of a user for a current reading session of a digital text and an available time for the current reading session for the user. The computer then determines, based, at least in part, on the reading speed and the available time, a user range in the digital text for the current reading session, and then one or more possible logical breaks within the user range. The computer further determines a first logical break, based on the determined user range, of the one or more possible logical breaks for the current reading session.

Abstract: A method, apparatus and program product utilize an automated educational tool to generate or modify one or more multiple choice questions in a question set in connection with tracking a user's attention state to dynamically vary the difficulty of a user assessment performed by the automated educational tool and thereby encourage the user to pay greater attention to the material being presented to the user.

Abstract: A system for entity-level clarification in conversation services includes a memory having instructions therein. The system also includes at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive a conversation services training example set, build an entity usage map using the conversation services training example set, receive a user utterance, and, responsive to a reception of the user utterance, generate a clarification response using the entity usage map. The at least one processor is also configured to execute the instructions to provide the clarification response to a user.

Abstract: A method includes activating a first object detector and a second object detector. The first object detector is operable to detect a first type of object in a set of image frames, and the second object detector is operable to detect a second type of object in the set of image frames. The method also includes activating a first set of attribute classifiers and a second set of attribute classifiers. The method also includes generating first statistics for the first object detector and second statistics for the second object detector. The method also includes modifying activation of at least the second set of attribute classifiers based on a comparison of the first statistics and the second statistics.

Abstract: A method includes receiving a set of parameters for a given project and generating, using information from a knowledge database, a plurality of combinations of group members based at least in part on the set of parameters. The method also includes evaluating a set of metrics for each of the combinations of group members, the set of metrics comprising at least one novelty metric and at least one collective intelligence metric. The method further includes generating one or more strategy matrices for each of at least a subset of the combinations of group members using information from the knowledge database, evaluating the combinations of group members in the subset using the strategy matrices to determine respective predicted success values, and selecting a given one of the combinations of group members for the given project based at least in part on the sets of metrics and predicted success values.

Abstract: Embodiments provide dynamic consumer incentive generation by generating a combination discount offer that provides a total discount value to a customer in response to verifying that the customer executes a commercial activity at each of different (first and second) ones of a discount grouping plurality of businesses, in response to determining that it is probable as a function of historic purchasing data that the customer will purchase an item from the first business when they make a purchase from the second business; and allocating different portions of the total discount value as costs to the first and second businesses that have different values determined as a function of a difference between a first probability that the customer will purchase an item from the first business and a second probability that the customer will purchase an item from the second business.

Abstract: Machine logic (for example, software) for creating layout for an advertisement and choosing a color scheme, with good color harmony, for the advertisement. Some embodiments are directed to testing how well people respond to advertisements laid out and colored created by the machine logic.

Abstract: According to one embodiment, a method, computer system, and computer program product for navigating driverless vehicles is provided. The present invention may include ingesting data pertaining to the operation of the driverless vehicle, utilizing that data to predict tasks, which are driverless vehicle service tasks such as parking, maintenance, fueling, et cetera. The invention may further include determining the risk that a user may have need of the driverless vehicle, and scheduling the tasks to provide a balanced combination of convenience to the user, effective maintenance of the driverless vehicle, cost, and time. The method further includes navigating the driverless vehicle to accomplish the scheduled tasks.

Abstract: An approach is provided in which an information handling system trains a classifier using rated content segments that each has a first content type rating corresponding to a content type. Then, the information handling system uses the trained classifier to classify unrated content segments corresponding to an unrated content and generates second content type ratings for each of unrated content segments accordingly that identify a corresponding content type. In turn, the information handling system generates an overall content rating of the unrated content based on a combination of the second content type ratings.

Abstract: A computer-implemented method according to one embodiment includes identifying an entity to be filled in within a selected plurality of video frames, determining a three-dimensional (3D) model for the entity, and filling in the entity within the selected plurality of video frames, utilizing the 3D model.

Abstract: Embodiments relate to a system, program product, and method for use with an intelligent computer platform and cognitive processing and associated distribution. The embodiments support a mechanism for dynamically sharing critical and non-critical information responsive to a classification model, such that only relevant information or part of the information is shared. As the classification model is subject to modification, the dynamic sharing mechanism is dynamically updated to reflect such modification. Similarly, as an associated document or file is subject to modification, dynamic processing of the document or file takes place responsive to the classification model. The dynamic classification and document processing employ NLP and ML models to support the associated functionality.

Abstract: A computer-implemented method according to one embodiment includes identifying an entity to be filled in within an image, determining a three-dimensional (3D) model for the entity, and filling in the entity within the image, utilizing the 3D model.

Abstract: A mechanism is provided for modifying an existing recipe to meet a set of desired colors for a final food dish. Responsive to receiving a request to modify the existing recipe to meet the set of desired colors, at least one of the set of existing colors to be changed to meet the desired set of colors is identified. An ingredient-action-sequence triplet associated with each at least one existing color to be changed in the existing recipe is identified and, from a corpus of ingredient-action-sequence triplets associated with other existing recipes, one or more candidates that can be added to produce the at least one target color are identified. The one or more candidates that can be added are ranked based on how each candidate pairs best with other ingredients in the existing recipe. Based on a selection of a candidate, the existing recipe is modified with the selected candidate.

Abstract: An approach is provided in which an information handling system trains a classifier using rated content segments that each has a first content type rating corresponding to a content type. Then, the information handling system uses the trained classifier to classify unrated content segments corresponding to an unrated content and generates second content type ratings for each of unrated content segments accordingly that identify a corresponding content type. In turn, the information handling system generates an overall content rating of the unrated content based on a combination of the second content type ratings.