Abstract: An embodiment includes generating an input document that includes a plurality of text fields of attribute data. The embodiment also includes extracting a set of candidate features from the attribute data using a feature extraction module that evaluates the attribute data using first and second machine learning models, where the first machine learning model scores terms in the input document and the second machine learning model includes a deep learning model. The embodiment also includes calculating feature-selection values for respective features of the set of candidate features and generating tag information for a remote computing asset using a machine learning classifier that predicts the tag information based on the feature-selection values.

Abstract: Aspects of the present disclosure relate to converting between structured and tabular data formats. Data can be received in a tabular format. An array can be built for each of a plurality of objects within the data in the tabular format, each object corresponding to at least one identified header of the identified headers. A data row can be parsed using at least one of the built arrays and data within the data row can be added to the structured format in a specific location based characteristics indicated in the at least one array. Data can also be converted from the structured format into the tabular format using the built arrays.

Abstract: In an approach to unattended authentication in HTTP using time-based one-time passwords, a request is received from a client for a Hypertext Transfer Protocol (HTTP) authentication on a server. A challenge is sent to the client, where the challenge includes a header that indicates that a Time-based One-time Password (TOTP) is to be used for the HTTP authentication. A first response is received from the client based on a first TOTP value and a shared secret, wherein the first response is encoded based on an encoding mechanism included in the header. Responsive to validating the first TOTP value and the shared secret from the client, the client is authenticated.

Abstract: An embodiment includes identifying which of a plurality of participants of a web conference is an identified participant associated with a selected cluster of a plurality of clusters of audio feed data of an audio feed of the web conference based on a self-introduction in the selected cluster. The embodiment also generates a first preliminary leadership score for the identified participant based on a speaking duration value associated with the identified participant and generates a second preliminary leadership score for the identified participant using a selected video segment as an input for a machine learning classifier model. The embodiment calculates a final leadership score for the identified participant based on the first and second preliminary leadership scores. The final leadership score is representative of a likelihood that the identified participant is a supervisor, and is indicative of the identified participant being a supervisor if it exceeds a designated threshold value.

Abstract: An intelligent user centric design platform is provided. In implementations, a method includes: receiving, by a computing device, software design input from a user, the software design input including software domain information; sending, by the computing device, questions to the user selected from a database of predetermined questions based on the domain information; receiving, by the computing device, answers to the questions from the user, the answers including text information regarding design requirements of the user; determining, by the computing device, a proposed user-centric design (UCD) diagram by matching the answers to a stored UCD diagram in a repository using a supervised machine learning model; and presenting, by the computing device, the proposed UCD diagram in a user interface, wherein the user interface enables acceptance of the proposed UCD diagram or rejection of the proposed UCD diagram.

Abstract: Systems and methods for automated resolution of over-specification and under-specification in a knowledge graph are disclosed. In embodiments, a method includes: determining, by a computing device, that a size of an object cluster of a knowledge graph meets a threshold value indicating under-specification of a knowledge base of the knowledge graph; determining, by the computing device, sub-classes for objects of the knowledge graph; re-initializing, by the computing device, the knowledge graph based on the sub-classes to generate a refined knowledge graph, wherein the size of the object cluster is reduced in the refined knowledge graph; and generating, by the computing device, an output based on information determined from the refined knowledge graph.

Abstract: In an approach for a smart reading assistant that helps users learn to read a new language, a processor detects a language of a digital book opening by a user on a computing device. A processor identifies a user reading capability level for the language of the digital book from a user profile for the user. A processor inputs at least one in context meaning of potential unknown words based on the user reading capability level. A processor detects a user action by the user on the computing device. A processor updates the user reading capability level based on the user action. A processor identifies, using collocation extraction, related words to a word involved in the user action. A processor inputs at least one in context meaning of at least one of the related words.

Abstract: A method and related apparatus adaptively control snapshot replication of a plurality of server snapshots in a multi-tenant public cloud using snapshot service. A plurality of snapshot requests are received from a plurality of clients in the multi-tenant public cloud and are each associated with a service level agreement (SLA). The SLA includes a corresponding completion deadline and a slippage penalty. A probabilistic model calculates, for active snapshot flows, a completion time for each of the snapshot requests. If any of the predicted completion times exceed their corresponding completion deadlines, a possible MISS event is produced for an associated first snapshot. The snapshot controller component, in response to producing the possible MISS event, minimizes a probability of breaching fulfillment times for the multi-tenant cloud. The slippage penalty is calculated for each of the plurality of snapshot requests. A second snapshot is identified from among the plurality of snapshot requests.

Abstract: In an approach for precipitation detection, a processor trains a first machine learning model for detecting precipitation in a region using a first training set of data including a plurality of historical data from a plurality of mobile devices collected in the region and a plurality of quantitative precipitation estimation data. A processor trains a second machine learning model for detecting a location of a mobile device in the region using a second training set of data including both historical indoor and outdoor data from the plurality of mobile devices collected. A processor receives a current data from the mobile device. A processor determines whether the mobile device is located indoor or outdoor based on the current data. A processor compares the current data against a threshold set in the first machine learning model to indicate precipitation. A processor determines whether the current data exceeds the threshold.

Abstract: A method for generating a singularity recommendation includes receiving structured and unstructured data for a user, where the structured and unstructured data for the user provide a first context for generating a singularity recommendation. The method, responsive to identifying a location for the user, determines ecosystem data based on the location for the user, where the ecosystem data provides a second context for generating the singularity recommendation. The method determines environmental data based on the location for the user, where the environmental data provides a second context for generating the singularity recommendation. The method generates the singularity recommendation based on the first context, the second context, and the third context directed to the user. The method displays the singularity recommendation in a user interface on a client device associated with the user.

Abstract: A method and associated systems for a database-management system with artificially intelligent database administration. The DBMS manages one or more databases, each of which is monitored by sensors that detect conditions indicative of database performance. An operational engine receives input from the sensors, translates it into a form understandable by an artificially intelligent decision engine, and forwards the translated input to the decision engine. The decision engine uses preloaded knowledge elements stored in a knowledgebase to infer whether the sensor input identifies an issue that can only be resolved by a database-administration activity. If so, the decision engine attempts to select a best solution, optionally seeks confirmation of its selection from an outside source, and directs the operational engine to implement the selected solution.

Abstract: A computer-implemented method for printing customized 3D medication based on the current user data and one or more medical records of the user. The method obtains current user data via one or more user IoT sensors and accesses one or more medical records of the user. The method further determines a medication design based on the obtained current user data and the accessed one or more medical records of the user and prints a 3D medication based on the determined medication design.

Abstract: A computer-implemented method for determining whether an electric vehicle (EV) requires a current charge. The method analyzes a set of EV data, wherein the set of EV data comprises a battery level, a destination, a current position, and a predicted arrival time to the destination. The method further constructs a charging regulation model for the EV, based on the analyzed set of EV data. The method further computes a risk score pertaining to charging the EV, based on the constructed charging regulation model for the EV, and determines whether the EV requires a current charge based on the computed risk score. The method further engages one or more wireless charging points on a roadway, if the computed risk score is below a threshold value.

Abstract: Methods and systems may provide for technology to recognize features of current content to be shared by a current user, determine a plurality of platforms that allow access to data by other users and select one or more of the plurality of platforms to store the current content based on the recognized features.

Abstract: Embodiments describe an approach for leveraging Bots across various layers of an enterprise information technology system for reducing mean time to find problems (MTFP). The approach comprising: determining if one or more system Bots can identify one or more issues in an enterprise information technology system. Escalating the one or more issues to one or more process Bots. Invoking one or more MTFP computation engines from related Bots in communication with the one or more process Bots. Identifying the one or more issues in the enterprise information technology system by the one or more MTFP computation engines. Updating a knowledge repository with attributes of the identified one or more issues, wherein the one or more process Bots can cognitively learn from the data stored on the knowledge repository; and outputting the one or more identified issues to a user.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for management and usage of shared authentication credentials. The method includes one or more processors updating usage information associated with an authentication credential with a media access control address (MAC address) that corresponds to a computing device that corresponds to using the authentication credential. The method further includes one or more processors receiving a login request that includes the authentication credential from a computing device. The method further includes one or more processors fetching a MAC address of the computing device that sent the login request. The method further includes one or more processors validating the authentication credentials and the MAC address.

Abstract: A computer-implemented method and a computer program product for device pairing by cognitive computing. A cognitive computing system creates a knowledge corpus about the historical activities of pairing devices of a user. The cognitive computing system predicts needs of device pairing of the user, based on analysis of the historical activities. The cognitive computing system identifies devices that can be paired in a surrounding area. An augmented reality device tracks an eye direction of the user at a device, extrapolates the eye direction to create an eye focus direction of the user, obtains from the cognitive computing system an eye focus line with an arrow pointing to the device, and creates an augmented reality overlay which shows the eye focus line. The augmented reality device pairs a user currently used device and the device, upon user approval.

Abstract: Three-dimensional printing of objects is facilitated. For an object to be printed in three-dimensions (3D), one or more contact points relating to the object are determined. A contact point is at least one location on a base of a 3D printer in which a portion of the object is to contact the base based on printing the portion of the object. A centralized location of the base at which one or more movable blocks of the base are to be moved to position the one or more contact points at the centralized location to facilitate printing of the one or more portions of the object is also determined. A print plan to be used to print the object in three-dimensions is created, in which the print plan includes one or more instructions to print at least the one or more portions of the object at the centralized location.

Abstract: Methods and systems for medicine disposition in hospitals are disclosed. A method includes: receiving, by a computing device, an electronic health record (EHR) of a patient; receiving, by the computing device, an order to dispense a medicine to the patient; receiving, by the computing device, information from a wearable device of the patient and updating the EHR of the patient based on the information from the wearable device of the patient; determining, by the computing device, that a health concern is not identified based on the information from the wearable device of the patient; and dispensing, by the computing device, the medicine to the patient in accordance with the order.

Abstract: Pairing a user response and associated context with a neural network associated with a virtual assistant computer during a dynamic text conversation with an end user. The virtual assistant computer receives a detected user generated text input; determines context of the detected user generated text input; compares the context of the detected user generated text input by comparing a confidence score representing context of the user generated input to a classification associated with each of a plurality of existing nodes of a neural network. For confidence scores below a threshold relative to the classification associated with each of the existing nodes of the neural network, the virtual assistant computer creates a new node within the neural network and assigns the context of the user generated text to the new node.