Abstract: An evolving system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment, a client computer program interactively executes software instructions using a subject matter data warehouse to transform input into a search pattern. The evolving system server supercomputer program executes multivariant big data indexing to cherry pick the optimal input and output using page, site and supersite probabilities. The client computer program analyzes the optimal output given a search pattern in order to interact and engage scripted communication with the end user.

Abstract: Systems and methods are described for indexing related documents to provide more robust search functionality within an index. In one aspect, a first document, such as a comment or status update associated with a second document or ticket item, may be obtained. As a result of the first document including first data that is linked to second data of the second document, an instance of the second document may be modified to include at least a portion of the first data. An index, which indexes a corpus of documents, such as ticket items, may be updated to include the modified second document, such that the first data is associated with the modified second document in the index. Responsive to a query for the first data in the index, the modified second document and any included first data may be returned.

Abstract: Techniques and solutions are described for retrieving metadata artefacts from a repository that includes multiple instances of a metadata artefact. The instances can have at least some different content. Metadata artefacts are associated with metadata describing group, searching, or selection criteria, such as one or more of a particular solution, tenant, layer, or version. A request for a metadata artefact can include at least one value for one or more of the criteria, which in turn can be used to identify one or more relevant metadata artefacts. Identifiers for, or content of, relevant metadata artefacts can be returned in response to the request. Fallback logic can be used to determine at least in part what metadata artefacts are relevant to a request, or how to return or process request results.

Abstract: A method and system for generating a clarity grading look-up table includes collecting actual inclusion parameter data for a plurality of gems, where the actual inclusion parameter data includes an actual clarity grade and an actual inclusion parameter data combination. A mathematical relationship between a clarity grade and a particular inclusion parameter combination is then extrapolated from the actual inclusion parameter data. A derived clarity grade is then assigned to a plurality of inclusion parameter combinations as a function of the mathematical relationship and a set of inputted inclusion parameters. Also, a method and system for providing a clarity grade includes receiving a plurality of inclusion characteristics associated with a gem and parameterizing each of the inclusion characteristics, so that a parameter value is assigned to each inclusion characteristic. The parameter values are then input to a mathematical formula so as to provide a parameterized clarity grade for the gem.

Abstract: An apparatus includes a memory and processor. The memory stores previous requests and corresponding previous responses. The processor determines that a user device transmitted a new voice request, converts the voice request into a first set of text, and transmits the text to an agent device. The processor applies the machine learning algorithm to the first set of text to generate suggested responses, by identifying patterns shared by the first set of text and a subset of the previous requests that are associated with the suggested responses. The processor transmits the suggested responses to the agent device. The processor then determines that the agent device transmitted voice signals responding to the new request. The processor converts these voice signals into a second set of text. The processor stores the first set of text as a previous request, and the second set of text as a corresponding previous response.

Abstract: Embodiments are disclosed for a method. The method includes determining a context of a data access request for a data virtualization engine. The method also includes determining data sources that are relevant to the data access request by using a governance machine learning model trained to predict the data sources based on the request and the context. Additionally, the method includes determining data governance rules-policies that are relevant to the request, by using the governance machine learning model, further trained to predict the data governance rules-policies based on the data sources and the context. Further, the method includes generating, by using a query machine learning model, a data access command executable by the data virtualization engine and configured to retrieve data from the data sources and apply the data governance rules-policies.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score.

Abstract: An embodiment of the present invention is directed to cloud automation that is environment agnostic and requires no prior knowledge of services and no service configuration. The innovative system provides a zero knowledge cloud service operation automation, with the limited exception of defining smart query logic.

Abstract: Techniques for making machine learning inference calls for database query processing are described. In some embodiments, a method of making machine learning inference calls for database query processing may include generating a first batch of machine learning requests based at least on a query to be performed on data stored in a database service, wherein the query identifies a machine learning service, sending the first batch of machine learning requests to an input buffer of an asynchronous request handler, the asynchronous request handler to generate a second batch of machine learning requests based on the first batch of machine learning requests, and obtaining a plurality of machine learning responses from an output buffer of the asynchronous request handler, the machine learning responses generated by the machine learning service using a machine learning model in response to receiving the second batch of machine learning requests.

Abstract: A classification computing system provides adaptable taxonomies to facilitate user navigation of complex information systems. The classification computer includes a memory and a processor. The processor is configured to receive a collection of file indices from the information server. The processor is configured to apply a taxonomical classification algorithm to the collection to generate a collection of classified file indices. The classified file is associated with at least one taxonomical classification. The processor is further configured to apply a flow algorithm to the collection to generate at least one flow path used to provide a user access to a first subset of taxonomical classifications and restricts access to at least a second subset of taxonomical classifications. The flow path is responsive to user input parameters. The processor is configured to receive a user input parameter. The processor is additionally configured to provide the flow path to the user computing device.

Abstract: Techniques are provided for synchronous replication for synchronous mirror copy guarantee. A file system dependent technique for synchronous mirror copy guarantee is provided by overriding default behavior of a persistent fence so that the persistent fence is activated to block operations targeting a storage object having a synchronous replication relationship based upon the synchronous replication relationship being out of sync. The default behavior of the persistent fence is overridden to allow operations to be executed upon the storage object based upon the synchronous replication relationship being in sync. A file system independent technique for synchronous mirror copy guarantee is provided by intercepting operations before the operations are received by a file system. The operations are selectively forwarded to the file system or not based upon a state of a synchronous replication relationship.

Abstract: The present disclosure provides a memory-based neural network for question answering. Embodiments of the disclosure identify meta-evidence nodes in an embedding space, where the meta-evidence nodes represent salient features of a training set. Each element of the training set may include a questions appended to a ground truth answer. The training set may also include questions with wrong answers that are indicated as such. In some examples, a neural Turing machine (NTM) reads a dataset and summarizes the dataset into a few meta-evidence nodes. A subsequent question may be appended to multiple candidate answers to form an input phrase, which may also be embedded in the embedding space. Then, corresponding weights may be identified for each of the meta-evidence nodes. The embedded input phrase and the weighted meta-evidence nodes may be used to identify the most appropriate answer.

Abstract: A real-time recommendation system includes a non-transitory, computer-readable storage medium having encoded thereon instructions that a processor executes to receive data from data sources that includes one or more data records. The processor then identifies features in data of a data record, extracts and buffers the features, and applies the features to a feature detect mechanism. The feature detect mechanism includes feature detect algorithm and more recommender algorithms that are encapsulated in a feature detection object. The feature detection object may be a Strategy/Composite feature detection object that includes Strategy design patterns. The processor further executes to reject a feature in response to failures of the feature to match at least one of the Strategy design patterns, and in real time, select and install features that match one or more of the Strategy design patterns into one or more recommender algorithms.

Abstract: System and method for coaching based on workout history. Improved solutions enable intelligent management of a user's personal fitness journey based on workout recommendations that closely align with the user's traits. In one exemplary embodiment, workout data for a population of different individuals is analyzed to identify groups of similarly performing individuals. Each group of individuals is analyzed to generate an expected profile that approximates the physiological and/or psychological traits of the group. An expected profile includes heuristics and/or performance metrics that enable dynamic coaching during workouts. Subsequently thereafter, user's can be dynamically coached by their client device, based on the expected profile.

Abstract: A method, comprising: receiving a first search query that is associated with a video file; retrieving one or more search results in response to the first search query, each of the search results corresponding to a different section in the video file; and displaying the search results on a display device, wherein displaying any of the search results includes displaying a link that points to the section of the video file, which corresponds to the search result.

Abstract: A Codex system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment, an optimizer software executing software instructions based on rules of grammar and semantics searches a encyclopedia of human knowledge to transform input into a search pattern. Then the Codex monetizes and commercializes each transformed input and corresponding optimal output. An artificial intelligence interaction software, hereinafter referred to as virtual maestro, uses the search pattern and optimal output to interact and engage scripted communication with the end user.

Abstract: A data storage system for use with a multi-threaded processing system receives concurrent requests to store data to a common data store, and efficiently and securely swaps an active data store for a new data store while avoiding conflicts arising from multiple threads attempting to swap a same data store and minimizing reliance on operations that re-attempt actions upon failure of an attempted action, thereby improving performance of the data storage system and also the multi-threaded processing system.

Abstract: A method for data storage includes specifying a plurality of File Systems (FSs) for use by multiple clients, including assigning to the FSs both respective global identifiers and respective client-specific names. The plurality of FSs is managed using the global identifiers, and files are stored for the clients in the FSs using the client-specific names.

Abstract: Methods, systems, and computer-readable media are provided for facilitating mapping of semantically similar terms between and among two or more information systems. In particular, to facilitate automatic discovery, establishment, and/or statistical validation of linkages between a plurality of different nomenclatures employed by a plurality of information systems, such as multiple electronic health record systems. In embodiments, the imputation of latent synonymy in corpora comprised of samples of historical records from each system enables automated terminology mapping between disparate systems' records, thereby establishing reliable linkages that may subsequently be utilized for realtime decision support, data mining-based research, or other valuable purposes.

Abstract: Various systems and methods are described herein for an improved spreadsheet application that allows a user to generate, manipulate, and replicate data visualizations (e.g., sparklines, graphs, charts, etc.) using functions without importing data into cells of the application. For example, data is stored in one or more remote or local data stores accessible to the improved spreadsheet application. A user enters a function into a cell of the improved spreadsheet application. The improved spreadsheet application generates a query using the function, the query identifying a portion of a dataset to retrieve from the data store(s). The improved spreadsheet application then transmits the query to the data store(s) and retrieves the requested data. A renderer of the improved spreadsheet application then renders a sparkline using the retrieved data. The improved spreadsheet application displays the rendered sparkline in the cell in which the function was entered, or at another designated location.