Abstract: A computer-implemented method, a computer system and a computer program product enhance multimedia quality. The method includes receiving a plurality of sequential frames of a scene in a video. The method also includes generating dataframes for current frames and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frames based on the comparison of the dataframes for the reference and current frames. The method also includes determining if the quality metric can be improved by altering the video in response to determining that the quality metric of one of the current frames is below a threshold. Finally, the method includes inserting expansion frames into the video in response to determining that the quality metric can be improved by altering the video.

Abstract: An embodiment includes processing a dataset to generate a set of feature vectors that include a first feature vector corresponding to a first concept within a user's areas of interest and a second feature vector corresponding to a second concept within the user's areas of study. The embodiment identifies clusters of the feature vectors and identifies key features that most contribute to influencing the clustering algorithm. The embodiment selects the first feature vector in response to a user query, and then selects the second feature vector based on an overlap between key features of the first and second feature vectors and a degree of dissimilarity between the first and second concepts. The embodiment outputs a query response that includes the second concept. The embodiment also determines an effectiveness value based on sensor data indicative of a user action responsive to the outputting of the response to the query.

Abstract: One or more processors access a plurality of messages from a discussion community and determine concept topics and metadata of the messages. A graph of the concept topics and messages is generated with messages and concept topics as nodes and connection strength between nodes as edges. Distances between nodes correspond to computed weights of edges. A low boundary distance threshold is calculated based on the aggregate distances between existing messages and concept topics of the graph. A distance is computed between new concept topics of a received message and existing messages and concept topics. A distance between the new concept topics of the received message and existing nodes is determined and compared to the boundary distance threshold of the graph, and responsive to determined distance falling below the boundary threshold, an action is performed to anchor the new concept topics of the received message in the discussion community.

Abstract: A computer-implemented method, a computer system and a computer program product improve the quality of multimedia. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes altering an orientation of the display of the current frame in response to determining that the quality metric of the current frame is below a threshold.

Abstract: A computer-implemented method, a computer system and a computer program product enhance multimedia quality. The method includes receiving a plurality of sequential frames of a scene in a video. The method also includes generating dataframes for current frames and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frames based on the comparison of the dataframes for the reference and current frames. The method also includes determining if the quality metric can be improved by altering the video in response to determining that the quality metric of one of the current frames is below a threshold. Finally, the method includes inserting expansion frames into the video in response to determining that the quality metric can be improved by altering the video.

Abstract: A computer-implemented method, a computer system and a computer program product evaluate multimedia quality. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes modifying the current frame so that the quality metric is at or above the threshold in response to determining that the quality metric of the current frame is below a threshold.

Abstract: A system, computer program product, and method are provided to conduct gap probability mapping to predict presence and location of one or more gaps in a corpus. A probabilistic model is formed to represent inter-corpora associations of objects, which the model leverages to process query submissions. As queries are received and processed, the model creates an adjustment. Subject to evaluation, confidence of the adjustment is evaluated, and a response correlated to the confidence is returned.

Abstract: A baseline of behavior is determined for a population of users that interact with an autonomous agent that is configured to respond to natural language prompts of users of the population using respective user profiles for each user. An element associated with a first user that deviates more than a threshold amount from the baseline is identified. In response to the element deviating more than the threshold amount, the autonomous agent is caused to engage the first user unprompted regarding the element via an engagement that is configured to verify an association between the first user and the element. A response from the first user regarding the engagement is determined to verify the association between the first user and the element. A first user profile that corresponds to the first user is updated in response to determining that the first user response verifies the association.

Abstract: A system and method for assessing a potential problem associated with information in a document. In an embodiment, a document for analysis may be received, the document being part of a corpus of one or more documents stored in an electronic format. The document may be analyzed to identify reference(s) in the document, wherein the reference(s) are each selected from the group comprising a natural language statement, a reference in a first part of the document to a second part of the document, or a reference to or from another document. Based on the reference(s), a knowledge graph may be generated to represent information in the document. A risk assessment of a reference in the document may be determined using the knowledge graph. A visual indicator may be applied to the document that emphasizes a potential problem with the reference based on the risk assessment.

Abstract: A method, computer system, and a computer program product for recommending additional content to an author generating authored content is provided. The present invention may include monitoring a travel location associated with the author. The present invention may include calculating a multi-sensory region based on the travel location and a maximum sense distance value. The present invention may include selecting at least one piece of additional content from a corpus of additional content based on the multi-sensory region. The present invention may include generating a model based on the at least one piece of additional content. The present invention may include selecting a relevant piece of additional content from the data model based on determining a topic associated with the relevant piece of additional content matches an authored topic associated with the authored content. The present invention may include presenting the selected relevant piece of additional content to the author.

Abstract: Systems and techniques that facilitate quantum circuit valuation are provided. In various embodiments, a system can comprise an input component that can access a first quantum circuit. In various embodiments, the system can further comprise a valuation component that can appraise the first quantum circuit based on one or more factors (e.g., frequency factor, complexity factor, resource factor, similarity factor), thereby yielding a value score that characterizes the first quantum circuit. In various instances, the system can further comprise an execution component that can recommend deployment of the first quantum circuit based on determining that the value score exceeds a threshold.

Abstract: Confusion reduction in an online social network. A method identifies elements in social media message content, determines, based on the identified elements, a plurality of candidate audiences to which the social media message content is potentially targeted, indicates, to a user, the plurality of candidate audiences and suggested additional elements to apply to the social media message content to tailor the social media message content to a target audience of the plurality of candidate audiences, and modifies the social media message content with one or more additional elements of the suggested additional elements, the modifying adding the one or more additional elements to the social media message content and targeting the social media message content to the target audience.

Abstract: A method, system, and computer program product to prevent misinterpretation of communications via artificial intelligence assistants. The method includes monitoring an artificial intelligence enabled communication. The method also includes analyzing messages, participants, and actions within the communication. The method also includes identifying critical data within the communication. The method also includes determining critical sequence data, where the critical sequence data is a sequence of conversation elements that contains the critical data. The method also includes predicting an uncertainty level for the critical sequence data, where the uncertainty level indicates an amount of uncertainty that the artificial intelligence correctly interprets the critical sequence data. The method also includes determining that the uncertainty level for the critical sequence data is above a threshold uncertainty value, resulting in critical sequence data that is subject to misinterpretation.

Abstract: A method, computer system, and a computer program product for recommending additional content to an author generating authored content is provided. The present invention may include monitoring a travel location associated with the author. The present invention may include calculating a multi-sensory region based on the travel location and a maximum sense distance value. The present invention may include selecting at least one piece of additional content from a corpus of additional content based on the multi-sensory region. The present invention may include generating a model based on the at least one piece of additional content. The present invention may include selecting a relevant piece of additional content from the data model based on determining a topic associated with the relevant piece of additional content matches an authored topic associated with the authored content. The present invention may include presenting the selected relevant piece of additional content to the author.

Abstract: According to one embodiment, a method, computer system, and computer program product for managing medical events affecting a driver or passenger of a vehicle is provided. The present invention may include detecting, based on sensor data, a medical event affecting a driver of the vehicle; confirming, with a secondary decision maker, the medical event and one or more environmental changes to an internal environment of the vehicle based on the detected medical event; and executing the one or more environmental changes.

Abstract: Document discrepancy determination and mitigation can include marking a fragment of a first document and a corresponding fragment of a second document in response to determining a dependency between the first document and the second document. A discrepancy probability with respect to the first document and the second document can be identified based on a discrepancy measure, which can be determined by comparing the marking of the fragment of the first document and the marking of the corresponding fragment of the second document. One or more discrepancy mitigation procedures can be initiated in response to the discrepancy measure exceeding a predetermined threshold.

Abstract: Presenting a lens-focused channel can include determining a state of a separate channel hosted on a data communications network. A topic-specific lens for federating a plurality of topic-specific messages conveyed over the data communications network can be configured in response to a predetermined condition indicated by the state of the channel. A lens-focused channel can be generated for presenting the plurality of topic-specific messages, as federated by the topic-specific lens, to a user over the data communications network.

Abstract: A method, a structure, and a computer system for location-driven social network boosting. The exemplary embodiments may include generating a network graph corresponding to a user of a social network and identifying a destined location of the user that differs from a current location of the user. The exemplary embodiments may further include identifying one or more gaps in the social network of the user at the destined location and augmenting the social network to fill the one or more gaps at the destined location.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification. One example operation may comprise one or more of identifying determining a shared file is being edited by one or more entities, identifying one or more changes to the shared file while the shared file is being edited, signing the one or more changes with one or more public keys, and adding the one or more changes to a blockchain.

Abstract: Interleaved conversation concept flow enhancement can include detecting a topic of an on-going conversation over an electronic communication system. In response to detecting a topic newly introduced into the on-going conversation, a topic-divergence metric (TDM) with respect to the original topic and the newly introduced topic can be determined. A topic-divergence response action can be initiated in response to the newly introduced topic diverging from the original topic by more than a predetermined threshold based on the TDM.