Abstract: The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the standardized input data.

Abstract: A server system can operate to function as an automatic association of tags defining a system within a process. The operations include accessing tags and associated signals including a plurality of data values over time indicative of a physical property, behavior or measurement of a component of the process. For each signal, calculating a time-weighted average over a specific time period, selecting a specific number of different day periods sampled from the tags and signals, and for each tag, calculating a slope and intercept by calculating a linear regression of plurality of signals over the specific time period. Further, calculating a residual value of each data value of the signals over the specific time period, and calculating a normalized value of each residual value, and then calculating the absolute value of the dot product of the normalized residual value and the residual value of a subsequent number of tags.

Abstract: An apparatus includes an interface and a processor. The interface sends and receives data over a network. The processor uses the interface to transmit a first series of profiles to a first user. The first series of profiles corresponds to recommendations of users for a second user. The processor also uses the interface to receive a selection from the first user of a first profile of the first series of profiles. In response to receiving the selection from the first user of the first profile of the first series of profiles, the processor determines, based at least in part on the selection from the first user of the first profile, a second series of profiles. The processor additionally uses the interface to transmit the second series of profiles to the second user.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining the minimum set of user interface (UI) elements for a task. One embodiment operates by transmitting UI elements associated with an application to a first computing device operated by a first user and a second computing device operated by a second user. Further, the embodiment includes obtaining data structures corresponding to a first task and a second task and then grouping, using a machine learning model, the data structures into a first cluster corresponding to the first task and a second cluster corresponding to the second task. Further still, the embodiment also includes determining a minimum set of UI elements required for the first task based on the first cluster.

Abstract: A user interface to a medical database stores context information from previous queries and uses the context information as part of information selection criteria for a current query, without requiring the users to fully specify the information selection criteria in each query. The context information is automatically stored as a profile for each user, for each group of users and, optionally, for each institution to which a user is affiliated. In response to a current user query, a combination of the information selection criterion currently entered by the user and one or more information selection criteria previously entered by the user, group and (optionally) institution is used to query the medical database. Optionally, a user's group membership may be automatically determined, based on current physical location of the user and potential groups, for example as estimated from a meeting calendar or signals received by a wireless access point.

Abstract: Aspects of the subject disclosure may include, for example, receiving a request to forecast allocations for a new descriptor, the new descriptor differing from preexisting descriptors, each of the preexisting descriptors being associated with a subset of locations of a network of locations, each location corresponding to an electronic segment in electronic canvases, and the new descriptor being associated with a new subset of locations of the network of locations, identifying one or more affected descriptors having one or more overlapping subsets of locations of the network of locations and one or more non-overlapping subsets of locations of the network of locations, determining a forecast of allocated locations in each of the one or more affected descriptors; identifying, according to the forecast, at least a portion of allocated locations in the one or more overlapping subsets of locations that are displaceable resulting in a number of displaceable allocations, and determining, according to the number of di

Abstract: An industrial safety architecture integrates employee identity and enterprise-level security policy into plant-floor functional safety systems, allowing control and safety systems on the plant floor to regulate safe interactions with hazardous controlled machinery based on user identity or role. The architecture leverages existing employee identity and security policy data maintained on the corporate level of an industrial enterprise to manage identity- and/or role-based control and safety on the plant level. Safety authority systems at both the corporate level and the plant level of the industrial enterprise obtain employee and security policy data from corporate-level systems and provides this data in as SIL-rated manner to industrial control and safety systems on the plant floor, where the identity and security policy information is used by functional safety systems to control access to industrial systems as a function of user identity, role, certifications, or other qualifications.

Abstract: A query requesting a count of unique data values for a specific attribute is received. The received query is used to generate and transmit a plurality of non-overlapping queries to a data store. A plurality of responses is received from the data store. Results from the plurality of responses is summed and the resulting sum is returned.

Abstract: Examples of the present disclosure provide systems and methods relating to a machine comprehension test with a learning-based approach, harnessing neural networks arranged in a parallel hierarchy. This parallel hierarchy enables the model to compare the passage, question, and answer from a variety of perspectives, as opposed to using a manually designed set of features. Perspectives may range from the word level to sentence fragments to sequences of sentences, and networks operate on word-embedding representations of text. A training methodology for small data is also provided.

Abstract: Technologies for tuning performance and/or accuracy of similarity search using stochastic associative memories (SAM). Under a first subsampling approach, columns associated with set bits in a search key comprising a binary bit vector are subsampled. Matching set bits for the subsampled columns are aggregated on a row-wise basis to generate similarity scores, which are then ranked. A similar scheme is applied for all the columns with set bits in the search key and the results for top ranked rows are compared to evaluate a tradeoff between throughput boost versus lost accuracy. A second approach called continuous column read, and iterative approach is employed that continuously scores the rows as each new column read is complete. The similarity scores for an N-1 and Nth-1 iteration are ranked, a rank correlation is calculated, and a determination is made to whether the rank correlation meets or exceeds a threshold.

Abstract: Systems and methods are provided for searching a schema to identify and visualize corresponding data. The system may be configured to receive a search query and search the schema for columns that correspond to one another. Individual ones of the corresponding columns may have different labels or different data types. Results for the search query may be determined. The results may include a first set of columns that satisfy the search query including a first column and a second column that correspond to each other but have one or more different labels or different data types. The system may be configured to generate a graphical representation of a data distribution for the first column responsive to receiving a selection of the first column.

Abstract: A hyperscale artificial intelligence and machine learning infrastructure includes a plurality of racks, where: at least one or more of the racks include one or more GPU servers; at least one or more of the racks include one or more storage systems; each of the racks include one or more switches coupled to at least one switch in another rack; and the one or more GPU servers are configured to execute one or more artificial intelligence or machine learning applications, wherein data stored within the one or more storage systems is used as input to the one or more artificial intelligence or machine learning applications.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for generating search results based on access control of a requesting user. The method includes one or more processors receiving a search query from a user. The method further includes generating a first candidate list of search results based on the received search query. The method further includes generating a second candidate list of search results based on the received search query. Generating the second candidate list of search results includes filtering out potential search results based on indexed access privilege data. The method further includes determining a subset of search result entries in the first candidate list by analyzing a defined number of search result entries in the first candidate list. Analyzing the defined number of search result entries includes attempting to access entries of the defined number utilizing access credentials of the user.

Abstract: A method of configuring a widget defining a user interface includes parsing content from a corpus comprising documents describing a plurality of products, selecting a plurality of pillars from the content, wherein the pillars are descriptors describing a product space of the products, determining an affinity of each of the products to each of the pillars, receiving, via the widget, a selection of a first pillar, and displaying a given product in the widget, the given product selected from the products given the selection of the first pillar.

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image based on natural language-based inputs. For instance, the object selection system can utilize natural language processing tools to detect objects and their corresponding relationships within natural language object selection queries. For example, the object selection system can determine alternative object terms for unrecognized objects in a natural language object selection query. As another example, the object selection system can determine multiple types of relationships between objects in a natural language object selection query and utilize different object relationship models to select the requested query object.

Abstract: A system and method for generating automatic false positive estimations for website matching is described. Several sets of assets and Uniform Resource Locators (URLs) are aggregated. Each of the several sets of assets is searched across webpage content corresponding to the several URLs to determine matches between the sets of assets and webpage content. One or more false positive estimations is determined, where each of the one or more false positive estimations corresponds to the one or more matches. A combined score is generated based on the one or more false positive estimations.

Abstract: Methods and apparatus to search datasets are disclosed. An example disclosed method includes receiving a search request having at least two criteria and assigning the criteria to a first group according to a logical relationship between the criteria. The example method further includes determining which of the criteria in the first group is satisfied by a least amount of records in a database based on a plurality of counts, the counts respectively indicative of a number of corresponding records in the database satisfying a respective one of criteria exhibited by the database, and identifying a reduced set of records in the database to be searched, the reduced set of records corresponding to the first or second criteria that is satisfied by the least amount of records in the database, and reducing a search time associated with the search request by searching the reduced set of records from the database.

Abstract: A system and method for sharing information includes displaying on a screen of a mobile device data fields that include a machine-readable code (e.g., QR code) and visual indicia corresponding to information that is to be shared by a user of the mobile device. The user selects which information is to be shared by selecting or unselecting the corresponding visual indicia and the machine-readable code updates in real-time to include the information corresponding to the selected visual indicia. The information is stored as a URI-encoded serialized data object in a parameter portion of the URI of the machine-readable code.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to generate an operation parameter histogram for each of a plurality of vehicle operation parameters, operate a test vehicle according to the operation parameter histograms, input each operation parameter histogram and a plurality of test vehicle environment data to a machine learning program, output from the machine learning program a classification for each operation parameter histogram from the machine learning program, input the classifications to a predictive damage model of a three-dimensional schematic of a vehicle component, and adjust one of a size or a shape of the three-dimensional schematic based the output of the predictive damage model. The operation parameter histograms are based on collected data about operation of a plurality of vehicles. Each operation parameter histogram includes an array of elements.

Abstract: An information processing system includes: a server apparatus to manage an application; and an electronic device to communicate with the server apparatus via a network, the electronic device having a web browser for displaying a web page provided by the server apparatus. The server apparatus includes circuitry to: receive registration of an application having customized a display screen; cause the display screen of the application to be displayed within a frame of the web page; and in response to an input to the display screen displayed within the frame, receive a request for executing at least one function of the information processing system from a script outside the frame, via an interface for providing the at least one function of the information processing system, and control execution of the at least one function.

Abstract: The invention discloses a device and text representation method applied to sentence embedding, which has determining a parent word and a child words set corresponding to the parent word, obtaining an hidden interaction state of parent word based on the hidden interaction state of all child words; obtaining parent word sequence corresponding to the parent word and obtaining hidden state sequence corresponding to the hidden state of parent word; obtaining the interaction representation sequence of each parent word and other parent word based on the hidden state sequence, generating sentence embeddings. The invention proposes to realize sentence embeddings through a two-level interaction representation.

Abstract: A method includes causing display to a user of at least one event of a first result set from a first pipelined search on events at an event source. Each event comprises a time stamp and a portion of machine data. A selection of a command is received from the user. The selection is to extend the first pipelined search with the selected command in a second pipelined search. The system selects between the first result set and the event source for execution of the second pipelined search based on an analysis of the selected command and at least one command of the first pipelined search. Based on the selecting being of the first result set, display to the user is caused of at least one event of a second result set from the execution of the second pipelined search on the first result set.

Abstract: A method of efficiently extracting large data sets from a database includes receiving a query to be executed on a first view of one or more data sources, where previous result sets resulting from previous queries are stored separately from the one or more data sources. The method also includes receiving a current result set from the one or more data sources that is responsive to the query, where the query is reformatted before it is executed such that the result set does not overlap with the previous result sets. The method additionally includes generating a second view that combines the current result set and the one or more previous result sets, where the second view resolves changes in a schema of the one or data sources between when the previous result sets were received and when the current result set is received.

Abstract: Methods and systems for performing hardware approximation of function are provided. In one example, a system comprises a controller, configurable arithmetic circuits, and a mapping table. The mapping table stores a first set of function parameters in a first mode of operation and stores a second set of function parameters in a second mode of operation. Depending on the mode of operation, the controller may configure the arithmetic circuits to compute a first approximation result of a function at an input value based on the first set of function parameters, or to compute a second approximation result of the function at the input value based on the second set of function parameters and to perform post-processing, such as quantization, of the second approximation result.

Abstract: A method of controlling generation of search results based on a plurality of search inputs includes, at a server: receiving an interim query containing a subset of interim search inputs; generating, based on the subset of interim search inputs: a subset of predicted search inputs; and a confidence level associated with the subset of predicted search inputs; when the confidence level exceeds a threshold, initiating a search operation to generate predicted search results based on a set of initial inputs including (i) the subset of interim search inputs and (ii) the subset of predicted search inputs; when the confidence level does not exceed the threshold, awaiting an additional query without initiating the search operation; and transmitting a search response based on at least one of the interim query and the additional query.

Abstract: A method including obtaining terms that are specific to a domain. First and second sets of the terms are obtained from first and second users. The first set do not adhere to a standard; the second terms do adhere to the standard. Tokens are obtained from the terms. First and second topics, representing terms, are identified within the domain. The terms are assigned to exactly one corresponding topic. The terms are assigned to the topics. First and second topic names are identified for the first and second topics. Identifying includes analyzing, for relevance, ones of the tokens. Identifying also includes selecting a particular token as a selected topic name for a selected one of the first topics and the second topics. A similarity value is determined between the first and the second selected topics. A mapping is established, based on the similarity value, between the first and second selected topic.

Abstract: The present disclosure discloses a chatbot with a stance taking. Opinions may be extracted from candidate replies during a processing of conversation, and the extracted opinions may be compared with the stance taken by the chatbot so as to perform selection on the candidate replies and remove the candidate replies which have conflicts with the stance taken by the chatbot. With such technical solutions, the stance taken by the chatbot may be exhibited.

Abstract: A server system may include one or more hardware processors that execute computer-readable instructions from a non-transitory memory that cause the processor to receive a time component associated with a query request and one or more relational identification tags associated with a subset of a plurality of data items stored in one or more databases. The processor may then query the one or more databases to identify one or more time series data items based on the time component and the relational identification tags. After querying the databases, the processor may transmit the one or more time series data items to a computing device configured to display the one or more time series data items.

Abstract: The present technology is effective to cause at least one processor to determine that a vehicle is within a threshold distance from a point of interest, determine details about the point of interest, and present the details about the point of interest. The vehicle may be characterized by having the ability to take any route to a destination requested by a passenger and to travel to the destination at any speed that is appropriate for road and traffic conditions. The details about the point of interest to present may be based upon a location and a speed of the vehicle.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for generating and serving low latency enterprise interaction analytics within an enterprise group-based communication system.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for generating and serving low latency enterprise interaction analytics within an enterprise group-based communication system.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: An apparatus is provided for outputting suggested query items by a group-based communication platform. The apparatus may include at least one memory and at least one processor configured to detect group-based communication platform query data stored in a memory of the apparatus. The processor is also configured to rank suggested query items based on the group-based communication platform query data. The processor is further configured to detect non-keystroke engagement of a search input interface of the group-based communication platform. The processor is further configured to determine a first subset of the suggested query items based on the ranking of the suggested query items and automatically launch a query suggestion interface including a first subset of the suggested query items in response to detecting the non-keystroke engagement of the search input interface. Corresponding methods and computer program products are also provided.

Abstract: A computer-implemented method, computer program product and computing system for: receiving platform information from a plurality of security-relevant subsystems; processing the platform information to generate processed platform information; identifying less threat-pertinent content included within the processed content; and routing the less threat-pertinent content to a long term storage system.

Abstract: Embodiments are directed to managing data using network computers. A data graph may be provided based on knowledge graphs and information provided by data sources. Concepts and entities may be provided based on the data graph. Scoring models may be determined based on the concepts and the entities. Thematic scores for the entities may be generated based on the scoring models and the data graph such that the thematic scores include values that quantify each relationship between the concepts and the entities and such that an entity with a higher thematic score value for a concept has a relationship strength value that exceeds another relationship strength value for another entity with a lower thematic score value for the concept. A report that includes the thematic scores, the entities, and the concepts may be provided.

Abstract: Systems and methods for searching digital content are disclosed. A method includes receiving, from a user, a base search constraint. A search constraint includes search values or criteria. A recall set is generated based on the base search constraint. Recommended search constraints are determined and provided to the user. The recommended search constraints are statistically associated with the base search constraint. The method receives, from the user, a selection of a first search constraint included in the plurality of recommend search constraints. The method generates and provides search results to the user that include a re-ordering of the recall set. The re-ordering is based on a search constraint set that includes both the base search constraint and the selected first search constraint. The re-ordering is further based on a weight associated with the base search constraint and another user-provided weight associated with the first search constraint.

Abstract: A system for automatically generating textual information describing a vehicle being advertised for purchase is disclosed. The system comprises a processor and a memory communicatively coupled to the processor, the memory including: a vehicle identification number (VIN) decoder logic to decode a VIN to determine a vehicle represented by the VIN, a feature determination logic configured to determine a normalized list of features associated with the vehicle, and a vehicle text generation logic configured to generate textual information describing the vehicle. The memory further includes a feature prioritization logic configured to perform prioritization operations to determine priority values associated with one or more features of the normalized list of features. In some instances, decoding the VIN includes (i) determining attributes of the vehicle including make, model and year, and (ii) retrieving vehicle option codes from a first data store, wherein the vehicle option codes are associated with the VIN.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-storage medium, for using a search engine implemented on a user device to identify topics or tasks associated with native application content. The method may include actions of receiving a set of data that is generated by the native application and that includes (i) native application content, and (ii) context information associated with the native application content, indexing the data on the user device, and then identifying one or more tasks based on the indexed data.

Abstract: In one aspect, a method includes identifying a geographic area of a content-presentation device. The method also includes using at least the identified geographic area as a basis to select, from among a plurality of reference fingerprint data sets, a reference fingerprint data set that corresponds with the identified geographic area. The method also includes transmitting to the content-presentation device, the selected reference fingerprint data set that corresponds with the identified geographic area to facilitate the content-presentation device detecting a match between query fingerprint data representing content received by the content-presentation device and at least a portion of reference fingerprint data in the transmitted reference fingerprint data set.

Abstract: A method, apparatus and computer program product for creating parse trees from mixed records is described. A mixed record is received including a first entry containing a first natural language phrase and a second entry containing a first structured data entry. Using the first natural language phrase, a first parse tree structure is created joining words in the first natural language phrase with natural links indicating their semantic relationship within the first natural language phrase. A first synthetic node is created which represents the first structured data entry. The first synthetic is joined to the first parse tree structure using a synthetic link to a node in the parse tree to produce a pseudo parse tree. The pseudo parse tree is sent to a question answer system for answering user queries by reference to the pseudo parse tree.

Abstract: Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Abstract: Systems and methods are described for sharing a user interface between users. The system transmits live video simultaneously to a plurality of users. Then, the system determines a subset of the plurality of users, such that the subset includes two users that have a predetermined relationship. Then, during playback of the video, the system detects an object in a frame of the video corresponding to preferences of the first user. In response, the system determines whether the second user is researching information related to the object during playback of the video. If the second user is researching such information, the system streams a mirror image of a user interface with which the second user is performing the researching to the first user.

Abstract: The present disclosure provides a method and device for displaying query results based on deep question and answer, in which the method includes: receiving a query, in which the query is a preset type query in a preset field; obtaining short viewpoints of aggregation results corresponding to the query, in which each of the aggregation results is obtained by aggregating webpages where viewpoint sentences from a same viewpoint cluster are located, and a short viewpoint of each of the aggregation results is obtained according to viewpoint sentences from a corresponding viewpoint cluster; and displaying the short viewpoints of the aggregation results.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include an atomized workflow loader configured to receive an atomized dataset to load into a data store, and to determine resource requirements data to describe at least one resource requirement. The atomized workflow loader may be further configured to select a data store type based on a resource requirement, and perform a load operation of the atomized dataset as a function of the data store type.

Abstract: System and method to produce an anonymized cohort having less than a predetermined risk of re-identification. The method includes receiving a data query of requested traits for the anonymized cohort, querying a data source to find records that possess at least some of the traits, forming a dataset from at least some of the records, and grouping the dataset in time into a first boundary group, a second boundary group, and one or more non-boundary groups temporally between the first boundary group and second boundary group. For each non-boundary group, calculating maximum time limits the non-boundary group can be time-shifted without overlapping an adjacent group, calculating a group jitter amount, capping the group jitter amount by the maximum time limits and by respective predetermined jitter limits, and jittering said non-boundary group by the capped group jitter amount to produce an anonymized dataset. Return the anonymized dataset.

Abstract: In a search system for a chemical compound having a biological activity, a chemical compound searcher calculates feature vectors distances between a feature vector of a specified chemical compound recorded on an exemplar table and feature vectors of the chemical compounds recorded on a search table and obtains similar chemical compounds in response to the feature vectors distances. A GUI displays the similar chemical compounds and information representing biological activities of the similar chemical compounds.

Abstract: A method and system is disclosed that provides search with improved discoverability within an online gaming platform.

Abstract: The present disclosure provides an image synchronization method and device, and a server. The method includes: receiving an image backup request sent by a first terminal logging into a cloud account, the image backup request carrying a first image to be backed up; obtaining summary formation of the first image according to the image backup request, the summary information being configured to describe the first image; determining whether the summary information is synchronized to a second terminal logging into the cloud account; and in response to determining that the summary information is not synchronized to the second terminal, synchronizing the summary information to the second terminal.

Abstract: Embodiments of systems and methods for the conversion of documents to reusable content types are disclosed herein. Embodiments may extract the content and metadata of the original document and identify a set of reusable resources from the content and metadata. These reusable resources can each be one of a set of content types common across a plurality of document authoring platforms. Each of the content types may be represented using a content type object associated with that content type. The reusable resources identified by the parsing of the content and metadata of the original document may thus be represented with corresponding reusable objects in a content type format common to a plurality of document authoring tools.

Abstract: Systems and methods are disclosed for receiving and executing a query received from a data intake and query system and providing results to a first group of worker nodes in a distributed execution environment. The query identifies a set of data to be processed and a manner of processing the set of data. Based on the query, the system defines a query processing scheme, and generates instructions for a second group of worker nodes to obtain the set of data from one or more dataset sources and to process the set of data. The system communicates results of the query to the first group of worker nodes.