Abstract: A method and system for workload aware storage replication. Specifically, the disclosed method and system entail establishing preferential transports for critical workload data targeted for replication from one cluster infrastructure to another. Existing replication solutions fail to prioritize the replication of critical over non-critical workload data, which the disclosed method and system rectify.

Abstract: A system and method for managing data storage and data access with querying data in a distributed system without buffering the results on intermediate operations in disk storage.

Abstract: A system and a method are disclosed for receiving an entry, the entry comprising first content and a metadata tag corresponding to a classification, the first content populated by a first source. A rules engine determines that the first content comprises a data field associated with at least one of a plurality of reconciliation policies. Responsive to determining that the first content comprises a data field associated with at least one of the plurality of reconciliation policies, the rules engine selects a reconciliation policy based on the metadata tag. The rules engine retrieves, from a second source, second content associated with the data field, inputs the first content and the second content into a model, the model selected based on the reconciliation policy, the model generating an output, and performs a remediation action based on the output.

Abstract: Automatic generation and insertion of operations into a timeline of operations via interactions with a data visualization. A timeline structure comprising a plurality of operation records that identify successive operations performed against a table of data in response to user inputs is maintained. A data visualization is presented that presents a portion of the table of data in a particular state after a most recent operation is performed. One or more user inputs are received via user interaction with the data visualization. An operation against the table of data is performed to change the state of the table of data from the particular state to a new state. A new data visualization is presented that presents a portion of the table of data in the new state, and the timeline structure is altered to reflect the operation performed against the table of data.

Abstract: Object identification is described. A processor identifies a first cell of a rectangular grid overlapped over a map of a certain geographic area. The first cell corresponds to a given geographic location. The processor identifies a second cell of the grid, the second cell having a center located within a certain distance of a center of the first cell. The processor identifies one or more objects associated with the second cell by using geographic coordinates of the center of the second cell as a lookup key to identify one or more entries of a data structure that stores object information.

Abstract: A computer-implemented method for storing documents in a centralized database system based on geographical data localization includes receiving, by a database manager, a request to update a document according to a data localization criterion, the document stored in a local storage device of the centralized database system. The method further includes determining, by the database manager, a geographical location for a local copy of the document based on an attribute of the document matching the localization criterion. The method further includes creating, by the database manager, a remote copy of the document on a storage device that is physically located in the geographical location. The method further includes modifying, by the database manager, the local copy of the document to include a location information of the remote copy.

Abstract: The present invention is directed to methods and systems for querying a database of geofences. A method for querying a database of geofences in the present invention includes generating at a device a first request comprising an Internet Protocol address, converting the IP address to a geographic location, identifying one or more geofences associated with the geographic location, and creating a first response to the first request wherein the first response comprises information describing the one or more geofences.

Abstract: Disclosed are systems, methods, and computer-readable storage media to present content on an electronic display. In one aspect, a method includes identifying a first candidate content and a second candidate content for presentation on an electronic display, determining a first probability and a second probability that the first candidate content and the second candidate content respectively will elicit a particular type of input response, determining a first weight and a second weight based on the first probability and the second probability respectively, selecting either the first content or the second content based on the first weight and the second weight; and presenting the selected content on the electronic display.

Abstract: Document retrieval from a large document storage database may be facilitated through the use of a search system configured for identifying concepts related to a specific search query provided by a user. Prior to retrieving documents for inclusion in a listing of search results, the terms included within a user-provided search query may be expanded based on relationships between terms represented within a Resource Description Framework (RDF) triplestore to generate a semantic search query. Documents linked with one or more of the terms included within the semantic search query are identified and included within the search results.

Abstract: The embodiments relate to generating hierarchical patterns based on a corpus of text. The corpus is analyzed, which includes extracting a set of features of the corpus. A set of grammatical patterns are generated based on the extracted features. The set of grammatical patterns includes at least one grammatical pattern generated from an internal pattern and at least one grammatical pattern generated from an external pattern. The grammatical patterns of the set are organized into a hierarchy and/or are ranked. The hierarchy and/or ranking are visually displayed.

Abstract: Various technologies described herein pertain to detecting contextual anomalies in a behavioral network. Label propagation can be performed to construct contexts and assign respective context membership scores to users. Each context can be a respective subset of the users expected to have similar resource usages. The contexts can be constructed and the context membership scores can be assigned by combining behavioral information and contextual side information. The behavioral information can specify respective resource usages by the users within the behavioral network. Moreover, respective contextual anomaly scores for the users can be computed based on the respective context membership scores assigned to the users and the contextual side information. Further, the contextual anomalies can be detected from the contextual anomaly scores.

Abstract: One embodiment provides a method, including: generating a plurality of ontologies wherein each ontology is generated by: monitoring interactions of a user with lineage information, wherein the monitoring comprises monitoring (i) filter interactions and (ii) access interactions; aggregating the monitored interactions of the user with monitored interactions of other users having a given business role; and generating an ontology for the given business role, wherein the subset comprises (i) event types, (ii) event constraints, (iii) event metadata, and (iv) event context; and upon a user having one of the plurality of business roles accessing lineage information on the data platform, providing a subset of the lineage information.

Abstract: The disclosure relates to a digital media file format comprising a number of sections for storing information, said sections comprising a first section with compiled reproducible media content, and a second section comprising one or more media elements. The disclosure further relates to a digital media file in the digital media file format, a computer-readable medium comprising the digital media file format, a method for creating a digital media file in the digital media file format, a method of obtaining a variant of a digital media file in the digital media file format, and a system for providing a digital media file in the digital media file format.

Abstract: Delivering content based on predicted effect can include analyzing, using computer hardware, digital content before providing the digital content to a device of a user, predicting, using the computer hardware, an effect that the digital content will have on a circadian rhythm of the user, based on the predicted effect, modifying, using the computer hardware, the digital content to generate modified digital content, and providing, using the computer hardware, the modified digital content to the device of the user.

Abstract: The present disclosure is directed toward systems and methods for ranking media effects. For example, systems and methods described herein enable a user to select and apply one or more media effects to a media communication such as a digital photograph or video. Systems and methods described herein identify and rank media effects based on characteristics associated with the user and the user's client-computing device. Furthermore, systems and methods described herein automatically present the top-ranked media effects to the user such that the user can easily select and apply one or more media effects that are tailored specifically to the user.

Abstract: A search query processing system that generates an ordered set of images that includes a search result. A location of a given image in the set of ordered images is based on a context of the search result and a pathway of physical progression of a subject. The search query processing system returns a set of search results based on a theme and a search result rule that relates to at least one of the following: (i) a manner in which the ordered set of search results are organized, or (ii) a scope of search results to be returned.

Abstract: Systems and methods are provided for personalizing new song suggestions for a user. A plurality of users provides thumbs up and thumbs down ratings for a pair of songs (song A and B). A first aggregate rating for song B is calculated based on ratings given to song A by all of the users that gave a like rating to song A. Similarly, a second aggregate rating is calculated for song B based on ratings given to song B by all users that gave a dislike rating to song A. Then a user that has not previously rated song B, supplies a rating for song A. A prediction is performed of how the user will rate song B based on the user's rating of song A. For example, the first aggregate rating for song B is used if the user rated song A positively.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for ranking videos. The program and method include storing, in a database, a plurality of videos; obtaining, for a first of the plurality of videos, first data representing a first interaction performed by a creator of the first video in association with the first video; and obtaining, for the first video, second data representing a second interaction performed by a consumer of the first video in association with the first video. A score is computed for the first video based on the first and second data and the first video is ranked relative to a remaining subset of the plurality of videos by comparing the computed score for the first video with respective scores of videos in the remaining subset of the plurality of videos.

Abstract: A method, system, and recording medium for knowledge graph augmentation using data based on a statistical analysis of attributes in the data, including a ranking device configured to rank semantically similar input data elements to create a ranked list of attributes to augment an input of structured data and populate with a data string corresponding to the instances, where the ranking device further combines a set of filters to refine the ranked list of attributes, the set of filters including a first filter according to column ranges of columns, a second filter according to a column uniqueness of the columns, a third filter according to a type of data in a column of the columns, and a fourth filter according to a distribution of values in the columns.

Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic generation and traversal of object dependency data structures. Examples enable generation of service dependency work graph structures for service dependencies associated with one or more services and dynamic replacement of service instances based upon traversal of the service dependency work graph data structures.

Abstract: A method and system for processing datasets having a number of data points are described. A portion of the dataset is received and processed in parallel. A view on a display is updated to include a first section of the portion of the dataset after the first section completes processing but before a remainder of the portion of the dataset completes processing. In some aspects, the portion of the dataset can include up to one million or more data points. In some aspects, if a change from the view to a second view is received before processing has completed, an unusable part of the dataset is discarded and/or a reusable part of the dataset that has completed processing is reused for the second view. In some aspects, columns of different dataset may be correlated and/or processed data is provided such that the processed data may be rapidly rendered.

Abstract: Systems, methods, and computer readable media for auto-populating recipient fields based on context of source content are disclosed. The system may include a processor configured to: maintain a plurality of boards related to a common entity, the boards including external addresses; receive an indication of an intent to send a communication, the indication originating from a specific board of the plurality of boards; render a communication interface associated with the specific board; perform a look up of a subset of the plurality of boards linked to the specific board; retrieve external addresses from each of the subset of the plurality of boards; populate the communication interface with the communication and the retrieved external addresses; receive a selection of at least one of the retrieved external addresses; cause the communication to be transmitted; and link a copy of the transmitted communication to at least the specific board.

Abstract: A system comprising: an input configured to receive input speech data originating from a user; an output configured to output speech or text information; and a processor configured to: provide first input data to a character sequence determination module to determine a character sequence from the first input data, wherein determining a character sequence comprises: obtaining a first list of one or more candidate character sequences from the first input data; selecting a first candidate character sequence from the first list; generating a first confirm request to confirm the selected first candidate character sequence, wherein the first confirm request is outputted by way of the output; if second input data indicating that the first candidate character sequence is not confirmed is received, selecting a second candidate character sequence and generating a second confirm request to confirm the selected second candidate if the second candidate character sequence is different from the first candidate character s

Abstract: Generating insight on a set of data is provided. A request for information regarding a specific topic is received from a client device corresponding to a requester. An analysis is performed on the request and a type of the information requested is determined based on the analysis. A set of information vendors is selected from a plurality of known information vendors based on the type of the information requested and other factors. Insights on the type of the information requested are obtained from the selected set of information vendors and an analysis is performed on the insights. A response to the request is generated based on the analysis of the insights on the type of the information requested that was obtained from the selected set of information vendors. The response to the request is sent to the client device corresponding to the requester.

Abstract: Methods, information handling systems and computer readable media are disclosed for a contextual image-based search. In one embodiment, a method includes receiving, at a computer implemented system for searching a knowledge base, an image submitted by a user of the system. The method continues with obtaining a classification label corresponding to the image, checking a context module database for the presence of a follow-up question associated with the classification label, and generating search term information for searching of the knowledge base, where the search term information comprises the classification label. If a follow-up question associated with the classification label is found, an embodiment further includes presenting the follow-up question to the user of the system, receiving from the user an answer to the follow-up question, modifying the search term information to include the answer, and checking the context module database for an additional follow-up question associated with the answer.

Abstract: Certain embodiments described herein enable real or near-real time monitoring and updating of analytics associated with transactions performed by a computer system that cause assets to be transferred between accounts of different entities, without necessitating that a query be run against a database that stores transaction data for the transactions performed by the computer system. Other embodiments described herein enable updating of balances in each of a plurality of different accounts without needing to access a database within which data for each of a plurality of processed transactions is stored, and without needing to lock a database, or portion thereof. Still other embodiments overcome other deficiencies of computer systems that are used for processing transactions and providing analytics and feedback relating to the transactions.

Abstract: In an example embodiment, a platform is provided that utilizes information available to a computer system to feed a neural network. The neural network is trained to determine both the probability that a searcher would select a given potential search result if it was presented to him or her and the probability that a subject of the potential search result would respond to a communication from the searcher. These probabilities are essentially combined to produce a single score that can be used to determine whether to present the searcher with the potential search result and, if so, how high to rank the potential search result among other search results. In a further example embodiment, embeddings used for the input features are modified during training to maximize an objective.

Abstract: Computer-readable media, computer systems, computing methods, and computing devices for providing deep-link notifications is provided. In embodiments, the method includes identifying one or more deep links that correspond with a navigated to website. Such deep links may be identified using a search service. The deep links can be comprised of popular links within the website other than a main page of the website. Upon identifying deep links that correspond with a navigated to website, a deep-link notification is provided via a toolbar. The deep-link notification provides an indication that deep links are available for the website.

Abstract: System and method for providing electric utilities and utility benchmarking organizations with an integrated real-time outage analytics and benchmarking solution. The system includes a powerful data importing apparatus that allows uploading of outage data from the utilities outage databases, confidential aggregation of utility outage data, real-time comparison of reliability metrics, real-time outage analytics and messaging capabilities. The system includes a communication link for receiving raw outage data uploaded from the outage management systems of participating utilities which couples the data to an analytics server which automatically recalculates standard reliability indices and analytics in real-time. A database server aggregates and stores the data and indices. The analytics server makes data and reports available to user utilities in real-time via the internet while using a unique ID for each user utility to maintain user anonymity and data confidentiality.

Abstract: Embodiments disclose a system that allows for improved generation of web requests for scraping that, because of the nature of the requests and time and manner they are sent out, appear more organic, as in human generated, than conventional automated scraping systems. The system then manages how a client request to scrape a target website is made to the site, masking the request in a manner that makes it appear to the Web server as if the request is not generated by an automated system. In this way, by appearing more organic, Web servers may be less likely to block requests from the disclosed system or may take longer to block requests from the disclosed system. By avoiding Web servers blocking requests and extending the lifetime of IP proxies before they are blocked, embodiments can use a limited IP proxy address space more efficiently.

Abstract: A query for one or more resources is received. One or more tokens associated with the query is identified based on running the query through a learning model. The one or more tokens correspond to one or more terms that the query shares context similarity to based on a history of user selections. One or more search result candidates are scored based at least on the context similarity between the one or more tokens and the query.

Abstract: In an example embodiment, position bias and other types of bias may be compensated for by using two-phase training of a machine-learned model. In a first phase, the machine-learned model is trained using non-randomized training data. Since certain types of machine-learned models, such as those involving deep learning (e.g., neural networks) require a lot of training data, this allows the bulk of the training to be devoted to training using non-randomized training data. However, since this non-randomized training data may be biased, a second training phase is then used to revise the machine-learned model based on randomized training data to remove the bias from the machine-learned model. Since this randomized training data may be less plentiful, this allows the deep learning machine-learned model to be trained to operate in an unbiased manner without the need to generate additional randomized training data.

Abstract: A method includes displaying and capturing image data containing an object and accessing a plurality of records related to objects, selecting a record related to the captured object, obtaining an identifier of a vendor of the object of the selected data record, combining the selected data record and the vendor identifier to form a search record, displaying, based on the search record, an augmented reality interface to receive a first interactive action for saving the search record, receiving the first interactive action, saving, in response to receiving the first interactive action, the search record into a searchable data structure, receiving a second interactive action, retrieving, in response to receiving the second interactive action, the search record from the searchable data structure, updating the vendor identifier based on the retrieved search record, and displaying information related to the search record.

Abstract: Disclosed herein are systems and methods for a system for distributing user requests. The system may comprise a memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include: receiving, from a user device: a reference, a target computing interface, and a request to assign the reference to the target computing interface; specifying a function provider associated with the target computing interface; enabling the target computing interface for configuration by the specified function provider; and providing the reference to at least one consumer device.

Abstract: A method comprises receiving a kernel used to convolve with an input tensor. For a first dimension of the kernel, a square block of values for each single dimensional vector of the kernel that includes all rotations of that single dimensional vector is generated. For each additional dimension of the kernel, group blocks of an immediately preceding dimension into sets of blocks, each set of blocks including blocks of the immediately preceding dimension that are aligned along a vector that is parallel to the axis of the dimension; and generate, for the additional dimension, one or more blocks of values, each block including all rotations of blocks within each of the sets of blocks of the immediately preceding dimension. The block of values corresponding to the last dimension in the additional dimensions of the kernel is output as the expanded kernel.

Abstract: Described herein is an accelerator device including a host interface, a fabric interconnect coupled with the host interface, and one or more hardware tiles coupled with the fabric interconnect, the one or more hardware tiles including sparse matrix multiply acceleration hardware including a systolic array with feedback inputs.

Abstract: A computing device includes a processor and memory storing instructions that are executable to determine a median of a first mixture distribution. The instructions are also executable to determine a parent mean, a parent standard deviation, and boundaries for each of multiple segments in the first mixture distribution. The instructions are also executable to determine a segment mean and a segment second moment for each segment based on the parent mean, the parent standard deviation, and the boundaries for the respective segment. The instructions are also executable to determine a scaled probability for each segment. The instructions are also executable to determine a mixture mean and a mixture standard deviation for the first mixture distribution based on the segment mean, the segment second moment, and the scaled probability for each segment in the first mixture distribution.

Abstract: A client apparatus determines whether a license system of an application is a node-locked system or a floating system when the application is activated. The client apparatus further determines whether a node-locked license is acquired if it is determined that the license system of the application is the node-locked system. The client apparatus initializes a user interface to display a license-required function in an enabled state if the node-locked license of the node-locked system is acquired or the license system is the floating system. The client apparatus initializes a user interface to display the license-required function in a disabled state if the node-locked license of the node-locked system is not acquired.

Abstract: A system and method for securely streaming/downloading and playing coherent digital content such as music and preventing its play by unauthorized users, facilitating a peer-to-peer sharing of cloned content. The system may include mass server/storage devices for receiving and storing digital content having predetermined gaps, and client devices communicating with the server/storage devices and providing authorization to proceed. During playing of the digital content by the client devices, the removed components may be reinserted into the missing gaps at the appropriate places, to allow the play or cloning of the coherent digital content.

Abstract: A system may include a central computational instance disposed within a remote network management platform, where the central computational instance provides authoritative representations of software application licensing information to other computational instances, and where the other computational instances are dedicated to respective managed networks. The system may also include a particular computational instance that is configured to receive a representation of particular software application licensing information for a particular software application installed within the particular computational instance.

Abstract: A software licensing verification and installation system includes a client computing system in signal communication with a service provider computing system. The client computing system is configured to generate a request for at least one software product. The service provider computing system is configured to determine hardware information and software information of the client computing system, to receive a client license provided by the client computing system corresponding to the at least one software product, and to verify the client license based on the hardware information and software information.

Abstract: Techniques are disclosed for determining whether to permit distribution of a software package—for example, via an application exchange service of a cloud computer system. The computer system may calculate a risk score for the software package based on various factors, including package metadata that specifies one of a plurality of package types supported by the application exchange service. The specified package type may be indicative of an amount of developer control on the software package after distribution. Based on comparing the calculated risk score to a risk threshold, the computer system may determine whether to permit distribution of the software package via the application exchange service. Scoring software packages based on package metadata may reduce the number of packages requiring manual review, which may advantageously reduce an amount of time between package development and deployment.

Abstract: A method implemented by a computing device is disclosed. The method includes: detecting a change in state of an application that is managed using an applications manager, the change in state being based on a first action within the applications manager; in response to detecting the change in state of the application: identifying at least one list of a plurality of application event listings stored on the computing device independently of the applications manager; determining that the at least one list includes one or more first application event listings associated with the application; and in response to determining that the at least one list includes the one or more first application event listings: determining a second action to apply to only the one or more first application event listings; and applying the second action to the one or more first application event listings.

Abstract: Systems, methods, and storage media for rendering target code are disclosed. Exemplary implementations may: receive the input code; apply at least one obfuscation transformation to multiple code functions of the input code to create transformed code including transformed code functions; determine a shared constant; determine a function-expression; and replace, for each transformed code function in the transformed code, the transformation parameters with the function expression and the at least one cloaked constant to create target code in which the transformed code functions are entangled to thereby render the target code protected against static analysis attacks.

Abstract: Control of a prompt for a credential to unlock a computer-readable storage device is provided. Some embodiments permit identifying a component that encrypted the computer-readable storage device and, depending on the identified component, prompting for such a credential. One embodiment can determine that a firmware encrypted the computer-readable storage device and can prompt for a password, for example, to unlock the computer-readable storage device during a boot-up process performed by the firmware. Other embodiments can determine that an operating system encrypted the computer-readable storage device, and can avoid the presentation of a prompt for a password, for example, during a boot-up process performed by the firmware. The computer-readable storage device can be a self-encrypting drive (SED) or another type of disk drive.

Abstract: A method is provided for generating a test for distinguishing humans from computers. The computer may include a machine learning model. A reference sample in a first category is selected. A first plurality of samples is selected from the first category. The samples may be images. Adversarial examples are created for one or more of the first plurality of samples. Each of the adversarial examples are created for one or more other categories different from the first category. A second plurality of samples is selected from the one or more other categories different from the first category. An adversarial example is created from one or more of the second plurality of samples for the first category. The reference sample and first and second pluralities of samples as modified to be adversarial examples, are presented for testing by a user to determine if the user is a human or a computer.

Abstract: A server has a pool data store that stores ambient sound recordings for matching. A match engine finds matches between ambient sound recordings from devices in the pool data store. The matching ambient sound recordings and their respective devices are then analyzed to determine which device is a source device that provides credentials and which device is a target device that receives credentials. The server then obtains or generates credentials associated with the source device and provides the credentials to the target device. The target device accesses content or services of an account using the credentials.

Abstract: A system and method for multifactor authentication. The method includes receiving a passthought brainprint and a training 3D pattern. The method also includes calculating a variance between the training 3D pattern and a passthought 3D pattern, and generating an error tolerance for the passthought 3D pattern based on the calculated variance between the training 3D pattern and the passthought 3D pattern. Further, the method includes storing the passthought 3D pattern and the passthought brainprint in a neural profile as a passthought for a secure area.

Abstract: An apparatus and method for device security, wherein a fingerprint image is acquired on a touchscreen, and an authentication process is performed based on the first fingerprint image. Thereafter, a second fingerprint image is acquired and a difference between a characteristic of the first and second fingerprint images is determined, and based upon whether this difference is greater than a threshold, a second authentication process is performed.

Abstract: An interactive identity verification system for gathering, identifying, authenticating and registering biometric data of a consumer verified through government agencies while monitoring, tracking, analyzing, storing and distributing dynamic biometric data to ensure access to the secured system remains authorized via monitoring of consumer data and to control authorized access to participating computer systems and programs. Consumer identity is verified with markers gathered from biometric detection and collection devices provided within the system, correlated with unique personal information and geo-location coordinates allowing authorized access to a secure computer system. Dynamic monitoring of consumer biometric data is required to guarantee online identity verification while operating under an alias or avatar to maintain public anonymity, participate in marketing incentive programs and increase security.