Abstract: An approach to real-time multi-agent visual question answering in a decentralized environment. The approach can include initializing a plurality of agents based on data associated with an image and a question about the image. The approach can include identifying a first portion of the plurality of agents to construct a grid of agents based on similarity between the first portion of agents. The approach can include determining a second portion of agents of the first portion of agents with edges between agents allowing sharing of agent concepts and agent parameters. The approach can include generate training trajectories of the grid of agents based on executing a collaborative rollout. Additionally, the approach can include optimizing agent policies of the grid of agents.

Abstract: Methods, systems, and computer program products for assisting dependency migration are provided herein. A computer-implemented method includes determining differences between a first version of a dependency used by a software application and each of a plurality of upgrade candidates, the plurality of upgrade candidates comprising at least one of: (i) one or more newer versions of the dependency and (ii) a substitute dependency; identifying, based on the determined differences for a given one of the upgrade candidates, one or more sections of code of the software application that need to be patched in order to be compatible with the given upgrade candidate; and generating a modified version of the software application for the given upgrade candidate that comprises one or more patches for at least a portion of the identified one or more sections of code.

Abstract: One embodiment provides a method, including: receiving, at an information handling device, drawing input; identifying, using a processor, at least one object in the drawing input; determining, based on the identifying, whether a factual anomaly exists in the drawing input with respect to the at least one object; and notifying, responsive to determining that a factual anomaly exists, a user of the factual anomaly.

Abstract: One embodiment provides a computer implemented computer implemented method, including: receiving information describing an application to be split into a plurality of modules to be hosted on a remote services environment; identifying a plurality of possible sets of modules for splitting the application; providing a visualization of the application split into modules, wherein the visualization displays different possible sets of modules as different layers within the visualization; and splitting, responsive to receiving user input within the visualization selecting one of the different layers, the application into one of the different possible sets of modules based upon the one of the different layers.

Abstract: An example operation may include one or more of receiving, by a monitoring peer, data collection requirements from a model builder node, querying, by the monitoring peer, a blockchain of a plurality of blockchains for data sets that match the data collection requirements, providing, by the monitoring peer, the data sets to the model builder node to be tested, receiving, by the monitoring peer, a performance feedback on the data sets from the model builder node; and updating, by the monitoring peer, a smart contract associated with the data sets on the blockchain based on the performance feedback.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for recommending an apparel product is provided. The method for recommending an apparel product may include one or more processors identifying a user selection of an apparel product, wherein the apparel product includes information associated with retail websites. The method further includes one or more processors categorizing the apparel product into one or more groupings based upon user preferences, wherein the grouping is based on available versions of the apparel product. The method further includes one or more processors determining current apparel preference information corresponding to the user based on user preferences, fitness application data, health monitoring application data, and user-provided measurements.

Abstract: Methods, systems, and computer program products for assisting dependency migration are provided herein. A computer-implemented method includes determining differences between a first version of a dependency used by a software application and each of a plurality of upgrade candidates, the plurality of upgrade candidates comprising at least one of: (i) one or more newer versions of the dependency and (ii) a substitute dependency; identifying, based on the determined differences for a given one of the upgrade candidates, one or more sections of code of the software application that need to be patched in order to be compatible with the given upgrade candidate; and generating a modified version of the software application for the given upgrade candidate that comprises one or more patches for at least a portion of the identified one or more sections of code.

Abstract: One embodiment provides a method, including: receiving a training dataset to be utilized for training a deep-learning model; identifying a plurality of aspects of the training dataset, wherein each of the plurality of aspects corresponds to one of a plurality of categories of operations that can be performed on the training dataset; measuring, for each of the plurality of aspects, an amount of variance of the aspect within the training dataset; creating additional data to be incorporated into the training dataset, wherein the additional data comprise data generated for each of the aspects having a variance less than a predetermined amount, wherein the data generated for an aspect results in the corresponding aspect having an amount of variance at least equal to the predetermined amount; and incorporating the additional data into the training dataset.

Abstract: One embodiment provides a method, including: receiving, from a user, input for manipulating an image, wherein the input (i) identifies a particular image element and (ii) identifies an operation a user wants to perform with respect to the image element; identifying a context of the image, wherein the identifying the context comprises identifying (i) existing image elements already included within the image and (ii) attributes of the existing image elements; determining, based upon the context, attributes for the image element utilizing a knowledge store comprising information regarding attributes for image elements in view of (i) contexts and (ii) operations; and thereafter, performing the operation utilizing the image element having the attributes.

Abstract: Methods, systems, and computer program products for generating collaborative orderings of information pertaining to products to present to target users are provided herein.

Abstract: A method, computer system, and a computer program product for automatically recommending a plurality of text snippets from a book script for a movie adaptation is provided. The present invention may include receiving, by a user, a piece of input data, wherein the input data includes the book script, and a plurality of past book-to-movie adaptations. The present invention may then include identifying a plurality of text snippets associated with the received book script. The present invention may also include recommending the plurality of text snippets associated with the received book script to include in a movie based on the plurality of past book-to-movie adaptations and a plurality of movie reviews corresponding with the plurality of past book-to-movie adaptations.

Abstract: One embodiment provides a method, including: receiving a user wardrobe query related to at least one item in a user's wardrobe to be worn for an event, wherein the user wardrobe query corresponds to at least one of an outfit recommendation query and an outfit sharing query; accessing a database comprising user profiles, each of the user profiles comprising (i) a listing of the at least one item in a user's wardrobe, (ii) at least one attribute of a user, and (iii) feature information for each of the at least one items indicating a feature of the item; determining at least one score for each of the at least one items; and providing at least one recommendation responsive to the user wardrobe query, wherein the at least one recommendation comprises an item from the user's wardrobe or another user's wardrobe having a score above a predetermined threshold.

Abstract: An example operation may include one or more of recording an option associated with an event in a block of a blockchain, receiving a request to consume the option from a client based on a future outcome with respect to the event, receiving, via chaincode, outcome data that is associated with the event, and in response to detecting that the future outcome has occurred based on the outcome data, activating the request to consume the option.

Abstract: One embodiment provides a method, including: receiving, from a user, input for manipulating an image, wherein the input (i) identifies a particular image element and (ii) identifies an operation a user wants to perform with respect to the image element; identifying a context of the image, wherein the identifying the context comprises identifying (i) existing image elements already included within the image and (ii) attributes of the existing image elements; determining, based upon the context, attributes for the image element utilizing a knowledge store comprising information regarding attributes for image elements in view of (i) contexts and (ii) operations; and thereafter, performing the operation utilizing the image element having the attributes.

Abstract: One embodiment provides a method, including: receiving, at an information handling device, drawing input; identifying, using a processor, at least one object in the drawing input; determining, based on the identifying, whether a factual anomaly exists in the drawing input with respect to the at least one object; and notifying, responsive to determining that a factual anomaly exists, a user of the factual anomaly.

Abstract: Embodiments describe an approach for automatically generating feedback for an online forum. Embodiments determine if a user is using a solution to a problem, wherein the solution is posted on an online forum, and responsive to determining the user is using the solution, capturing environment information associated with the user's computing device. Additionally, embodiments determine if the solution solved the problem, and responsive to determining the solution solved the problem, automatically generate feedback associated with the solution, wherein the feedback comprises the environment information and information detailing that the solution solved the problem.

Abstract: One embodiment provides a method, comprising: identifying, using a processor, an individual in a video segment; ascertaining, from at least the video segment, a viewpoint expressed by the individual on a topic, wherein the viewpoint comprises at least one of: a stance of the individual and a sentiment of the individual toward the topic; identifying, using a processor, a superset video comprising the video segment, wherein the superset video is an originally published video; ascertaining, based at least in part on the superset video, an overarching viewpoint of the individual on the topic; determining whether an inconsistency exists between the viewpoint expressed by the individual in the video segment and the overarching viewpoint of the individual ascertained in the superset video; and alerting, responsive to determining that an inconsistency exists, a user that the video segment contains the inconsistency.

Abstract: An example operation may include one or more of receiving, by a monitoring peer, data collection requirements from a model builder node, querying, by the monitoring peer, a blockchain of a plurality of blockchains for data sets that match the data collection requirements, providing, by the monitoring peer, the data sets to the model builder node to be tested, receiving, by the monitoring peer, a performance feedback on the data sets from the model builder node; and updating, by the monitoring peer, a smart contract associated with the data sets on the blockchain based on the performance feedback.

Abstract: Methods and arrangements for displaying results of one or more query searches. Query search results are obtained and there are determined, from the query search results, a best object type, a best instance of the best object type and one or more alternative object types, wherein determining a best object type includes consulting a collection of domain ontologies. The search results are displayed on a single screen via showing the best object type, the best instance of the best object type and the one or more alternative object types. Other variants and embodiments are broadly contemplated herein.

Abstract: One embodiment provides a method, including: mining a plurality of deep-learning models from a plurality of input sources; extracting information from each of the deep-learning models, by parsing at least one of (i) code corresponding to the deep-learning model and (ii) text corresponding to the deep-learning model; identifying, for each of the deep-learning models, operators that perform operations within the deep-learning model; producing, for each of the deep-learning models and from (i) the extracted information and (ii) the identified operators, an ontology comprising terms and features of the deep-learning model, wherein the producing comprises populating a pre-defined ontology format with features of each deep-learning model; and generating a deep-learning model catalog comprising the plurality of deep-learning models, wherein the catalog comprises, for each of the deep-learning models, the ontology corresponding to the deep-learning model.