Abstract: A method, an apparatus, and a system for configuring, designing, and/or implementing integrated data modeling methods for configuring direct data system interoperability between multiple data systems based upon compliance with data integration standards. Integrated data modeling is an enhancement of traditional data modeling where newly defined common entity relationships are used to join multiple data models. When instantiated, integrated data models form integrated data systems where data integrity is enforced among multiple data systems.

Abstract: Systems and methods for automated indexing and extraction of information in digital documents are disclosed. A method may comprise identifying a page containing targeted information; inputting an image of the page into a visual machine learning network (visual ML), wherein the visual ML is trained to recognize text associated with the targeted information in an image; identifying by the visual ML, a section of the image that contains the targeted information; inputting the digital document, and coordinates of the section into an extraction module; and extracting the targeted information by the extraction module from the section.

Abstract: Systems and Methods are disclosed herein for automatically indexing multiple informational fields in digital data records, the method comprising: identifying, based on rules defining target information fields, for each target field of the target information fields, at least one page in a digital data record comprising content related to the target field; extracting, for each target field, from the identified at least one page, at least one portion of text comprising the content; feeding, for each target field, a pre-processed version of the at least one portion of text into a machine learning (ML) model, wherein the ML model is trained on the target field; determining, for each target field, via the ML model trained on the target field, at least one candidate text comprising the content; and extracting, for each target field, the at least one candidate text.

Abstract: Implementations relate to providing search suggestions on a collaboration platform. In some implementations, a method includes generating a dictionary of terms comprising terms associated with games of the collaboration platform by identifying a set of the games that have a frequency of play that meets a threshold frequency and identifying a plurality of search terms associated with previous search queries of the collaboration platform. The method further includes comparing the plurality of search terms with the dictionary of terms, identifying a first set of the search terms that are candidate search terms and a second set of the search terms that are search suggestions, and generating a record that associates candidate search terms of the first set of the search terms with respective search suggestions wherein the record is used to provide a suggestion for one or more new search terms of a new search query.

Abstract: In assistance processing for assisting in describing a document corresponding to a portion in a document, a calculation unit calculates a similarity degree between a sentence in a document and a document described correspondingly to a portion in the document. When the calculated similarity degree is equal to or greater than a predetermined threshold, an extraction unit extracts the sentence in the document in association with the document described correspondingly to the portion in the document.

Abstract: In some examples, structure-based multi-intent email classification may include receiving an email thread that includes a plurality of emails including an email that is to be classified, and identifying, for the email thread, a process associated with the email thread, Based on the process associated with the email thread and for each sentence of the email that includes a plurality of sentences, a corresponding classifier may be determined from a plurality of classifiers, and applied to each sentence of the email to generate classified sentences. At least one entity may be extracted from each of the classified sentences of the email. Based on the at least one extracted entity, the email may be classified.

Abstract: A method at a client device includes displaying media library information corresponding to a set of media items. The media items include one or more local media items, the one or more local media items including media items stored at the client device, and one or more remote media items, the one or more remote media items including media items stored at a remote system and not at the client device. The method also includes displaying, concurrently with displaying the media library information, affordances identifying the remote media items; detecting user interaction with an affordance identifying a respective remote media item; and in response to detecting the user interaction, initiating a process for downloading a copy of the respective remote media item to the client device for storage at the client device.

Abstract: Embodiments are provided for querying a media server for media content based on user-selected metadata associated with first media while the first media is being experienced by a user. In one embodiment, at least one metadata associated with the first media may be displayed for the user to review while the first media is being experienced by the user. The user may then select a displayed metadata to initiate a search for media content based on the selected metadata. The search for media content may be performed by querying a media server associated with a selection of media content services. The user may then review the results of the media query, select media content from the results, and initiate further action, such as adding the media content to a digital repository, or purchasing the media content.

Abstract: A multimedia information processing method, apparatus, electronic device, and medium are provided. The method includes: receiving a user's selection operation for any piece of multimedia information among multimedia information to be processed, the multimedia information to be processed comprising at least two pieces of multimedia information, any piece of multimedia information being any piece of multimedia information except the last piece; determining a target multimedia information piece on the basis of a selected operation; upon receiving a trigger operation for the target multimedia information piece, determining a corresponding processing method; on the basis of the determined processing method, correspondingly processing the target multimedia information piece. Thus, the complexity of processing multimedia information is reduced and efficiency is improved, thereby improving user experience.

Abstract: The system for automatic management and depositing of documents' (images') hash in the block-chain technology comprises of at least one device for documents' recording, and/or for the conversion of documents into digital photography (1), at least one device through which communication and encoding are performed (2), at least one device through which user authentication is performed (3), at least one device on which the block-chain base is located (4) and at least one device on which the hash base is located (5). The device (1) comprises at least a digital camera, a communication system, an image processing system and the GPS, and it may additionally include an adequate software application. The communication system is a virtual VPN specifically dedicated to the device (1), and communication among the devices within the system is carried out through the Internet and it is encoded.

Abstract: A media application selects, from a collection of images associated with a user account, candidate pairs of images, where each pair includes a first static image and a second static image from the user account. The media application applies a filter to select a particular pair of images from the candidate pairs of images. The media application generates, using an image interpolator, one or more intermediate images based on the particular pair of images. The media application generates a video that includes three or more frames arranged in a sequence, where a first frame of the sequence is the first static image, a last frame of the sequence is the second static image, and each of the one or more intermediate images is a corresponding intermediate frame of the sequence between the first frame and the last frame.

Abstract: A method of processing a query to a database from a query source is provided, comprising: receiving the query, the query in a first format supported by the query source; inputting the query into a first neural network; outputting, by the first neural network, the query in a second format, wherein the second format is a format supported by the database; receiving, from the database, a response to the query, the response in the second format; inputting the response to the query into a second neural network; outputting, by the second neural network, the response to the query in the first format; wherein each neural network is trained by inputting a first plurality of pairs of semi-structured data, each pair of semi-structured data comprising a sample query or response in the first format and the sample query or response in the second format.

Abstract: A method, computer program and apparatus is disclosed. The method, performed by one or more processors, may comprise receiving, from one or more predetermined organizations, datasets representing entities and datasets representing one or more tasks for those entities and storing in a database, in accordance with an ontology which is common to the organizations, the received one or more datasets as data objects, the ontology defining properties of data objects and relationships between the data objects. The method may also comprise mapping the data objects stored in the database to the organization from which the one or more datasets were received and receiving, through a querying application, a query from a user of one of the predetermined organizations to view one or more data objects relating to a task.

Abstract: A method, apparatus, and computer-readable storage medium that generate, from a database, an identifier record grouping including the identifier record and at least one other identifier record, generate one or more strength indicators of the generated identifier record grouping, normalize a value of each of the one or more strength indicators based on an average value associated with the respective strength indicator, generate a value of a strength metric of the generated identifier record grouping based on a sum of the normalized values of the one or more strength indicators, rank the value of the strength metric amongst values of strength metrics associated with a plurality of identifier record groupings within the database, and determine a strength score of the generated identifier record grouping as the strength score of the identifier record based on the ranking.

Abstract: A question answering system includes: a first encoder module configured to receive a question, the question including a first plurality of words, and encode the question into a first vector representation; a second encoder module configured to encode a document into a second vector representation, the document including a second plurality of words; a first reading module configured to generate a third vector representation based on the first and second vector representations; a first reformulation module configured to generate a first reformulated vector representation based on the first vector representation; a second reading module configured to generate a fifth vector representation based on the second vector representation and the first reformulated vector representation; a second reformulation module configured to generate a second reformulated vector representation based on first reformulated vector representation; and an answer module configured to determine an answer to the question based on the secon

Abstract: Systems and methods are disclosed herein for processing a natural language query. A receiver circuitry receives the natural language query from a user. A natural language interpreter circuitry parses the natural language query to convert the natural language query into a plurality of categories and a plurality of variables, each variable in the plurality of variables corresponding to one category in the plurality of categories. A user interface displays to the user the plurality of categories' and the plurality of variables, and allows the user to modify at least one variable in the plurality of variables by providing a natural language utterance.

Abstract: Technologies described herein can be used for the bulk lazy loading of structured data from a database. A request can be received to initialize an application data structure (such as a structured data object, a hierarchical data structure, an object graph, etc.). The data structure can be analyzed to identify a plurality of child objects of the data structure. Database records associated with the plurality of child objects can then be identified. A loaded child record table can be inspected to determine which of the identified database records are not stored in a cache. A request can be generated, comprising one or more queries to retrieve the uncached subset of database records from the database. Once the uncached subset of records are received from the database, these records can be used, along with the cached subset of the identified database records, to initialize the plurality of child objects of the application data structure.

Abstract: Provided are an electronic device and an operating method thereof. The electronic device includes a communicator, a display, and a processor configured to receive search result data based on a search keyword from a first server through the communicator, request, from a second server through the communicator, additional information indicating whether each web page included in the search result data is an advertising page, and control the display to display the search result data, based on the additional information corresponding to the each web page and received from the second server, wherein the additional information is generated by the second server by using a training model trained using an artificial intelligence (AI) algorithm, based on whether the web page includes an advertisement pattern. Also provided are an AI system using a machine learning algorithm such as deep learning and applications thereof.

Abstract: Different logical partitions representing parts of a distributed file system global namespace are hosted on some cluster nodes, e.g., metadata nodes. File content and shadow logical partitions corresponding to the different logical partitions are hosted on other nodes, e.g., data nodes. Each file is associated with a metadata and data node. TCP links are established between nodes. Upon opening files, a file manager server session is generated between each pair of nodes associated with the open files to track open states and is recorded in a mapping table. The mapping table identifies each open file and associated nodes. When a metadata or data node of a particular pair of nodes associated with an open file becomes unavailable, the mapping table is consulted to identify another of the metadata or data node associated with the open file. Crash recovery protocols are performed on the other of the metadata or data node.

Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.

Abstract: Case management systems and techniques are disclosed. In various embodiments, for each of a plurality of case nodes comprising a case model a trait definition comprising a corresponding set of traits associated with that case node is received. The respective trait definitions are used to bind each set of traits to the case node with which the set of traits is associated in case instances created based on the case model.

Abstract: A payment service system monitors data associated with a dynamic information feed and determines trending causes based on the monitoring. The system accesses user information associated with a user and identifies a trending cause that is relevant to the user based on the user information. The system transmits, to the user's mobile device, a recommendation alert that is formatted based on a local application on the user's mobile device, and causes the user's mobile device to surface the recommendation alert to recommend the relevant trending cause within the local application. The system receives an indication of an interaction with the recommendation alert via the user's mobile device. In response, the system facilitates a transfer of at least one asset from an account associated with the user to at least one account associated with at least one recipient entity associated with the relevant trending cause according to a specified distribution.

Abstract: An electronic device includes a memory; and a processor configured to: store metadata received from a plurality of data sources, respectively, in the memory; obtain first information corresponding to a preset attribute from among attribute information comprised in first metadata received from a first data source from among the plurality of data sources; obtain second information corresponding to the preset attribute from among attribute information comprised in second metadata received from a second data source; and map, based on the first metadata and the second metadata being identified as metadata on a content based on a similarity between the first information and the second information, an integrated metadata generated based on the first metadata and the second metadata to the content and store the integrated metadata generated based on the first metadata and the second metadata in the memory.

Abstract: A system, method, and computer program product provide a search engine which may use time series of data relevant to a search query to generate relevant results that may be used for predictions of events related to the query. Embodiments determine the underlying driving factors that most influenced the search query topic. In one aspect, the predictive ability of time series may be used to determine the driving factors. In another aspect, the system and method may employ a neural network to run a prediction model for determining conditional distribution of future values of the search query topic. The information may be displayed in a user interface where the driving factors and other information may be user edited to observe the effects source data has on the search query topic.

Abstract: An apparatus for expanding contacts for a social networking platform includes at least a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the at least a processor to determine potential contacts for a user with an automated process including identifying a user identification on an immutable sequential listing, retrieving activity data linked to the user identification, retrieving a body of sets of user activity data as a function of the activity data, and identifying potential contacts by generating a match function between the user and each set of the sets of the user activity data. Processor further receives a selection input from the user device selecting a contact of the potential contacts, delivers an information request about the user to a selected contact device, and receives an information response from the selected contact device.

Abstract: This application provides a content recommendation method and apparatus, an electronic device, and a storage medium.

Abstract: This application relates to apparatus and methods for automatically servicing item data requests in data management systems, such as in retail management systems. The apparatus and methods employ a throttling technique to service data requests from one or more entities. In some examples, a computing device initializes assigns a counter for each entity, and initializes each counter with an initial value. The computing device also occasionally (e.g., periodically) resets each counter to the initial value. The computing device may receive a data request from one of the entities, and determines whether the counter corresponding to the entity identifies a count that is beyond a threshold. If the counter identifies a count beyond the threshold, the computing device adjusts the counter, and processes the data request. If the counter does not identify a count beyond the threshold, the computing device responds to the entity with an error.

Abstract: The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.

Abstract: According to a first aspect of the disclosure, there is provided a method of accessing data from one or more destination transactions stored on a blockchain, wherein the method comprises selecting one or more hyperlinks linking to the destination transaction(s). According to a second aspect of the disclosure, there is provided a request-response protocol for requesting access to data from a destination transaction.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating contextual hubs for organizing and presenting web-accessible content from third-party sources. In particular, the systems described herein can organize and manage within a contextual hub. For instance, the disclosed systems may perform actions on tabs based on analyzing usage signals associated with the tabs. Furthermore, the disclosed systems can organize contextually related content within contextual hubs. The disclosed systems may also facilitate collaboration between users within a contextual hub by synchronizing interactions with content within a contextual hub.

Abstract: Systems and methods are described for monitoring and managing an online experience. An example method includes: providing a platform to a plurality of operators of a plurality of websites, the platform including a graphical user interface tool; providing the graphical user interface tool to an operator from the plurality of operators while the operator is browsing a website from the plurality of websites; receiving, using the graphical user interface tool, a selection from the operator including an identification of (i) an element to be added to the website and (ii) a location in the website where the element will be added; in response to the selection, automatically revising software code for the website to include the added element at the location; and implementing an updated version of the website using the revised software code.

Abstract: A dot product multiplier for matrix operations for an A matrix of order 1×m with a coefficient B matrix of order m×m. Processing Elements (PEs) are arranged in an m×m array, the columns of the array summed to provide a dot product result. Each of the PEs contains a sign determiner and a plurality of analog multiplier cells, one multiplier cell for each value bit. The multipliers operate over four clock cycles, initializing a capacitor charge according to sign on a first clock phase, sharing charge on a second phase, canceling charge on a third phase, and outputting the resultant charge on a fourth phase, the resultant charge on each column representing the dot product for that column.

Abstract: Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables.

Abstract: Method and computing device using a neural network to determine whether or not to process images of an image flow. A predictive model of the neural network is generated and stored at a computing device. The computing device receives (b) an image of the image flow and executes (c) the neural network, using the predictive model for generating an indication of whether or not to process the image based on input(s) of the neural network, the input(s) comprising the image. The computing device determines (d) whether or not to process the image by an image processing module, based on the indication of whether or not to process the image. The image is processed by the image processing module if the determination is positive and not processed if the determination is negative. Steps (b), (c), (d) are repeated for consecutive images of the image flow.

Abstract: This application discloses a map display method and apparatus, where the method includes: obtaining an initial image, where a first road is included in the initial image. The initial image is divided into a first sub-image and a second sub-image, where the first road is not included in the first sub-image, and the first road is included in the second sub-image. The first sub-image is mapped to a first plane of a transition model, and the second sub-image is mapped to a second plane of the transition model, where there is an included angle between the first plane and the second plane, and the first plane is parallel to a screen of a display device. The second plane is controlled to move by means of the transition model, until the included angle is reduced from a first angle to a second angle, and a three-dimensional map display animation is obtained.

Abstract: An information processing method includes: obtaining sensing data; determining a synthesis region in the sensing data in which recognition target data is to be synthesized with the sensing data; generating composite data by synthesizing the recognition target data into the synthesis region, the recognition target data having same or similar characteristics perceived by a human sensory system as the sensing data; obtaining recognition result data by providing the composite data to a model which has been trained using machine learning to recognize a recognition target; making a second determination based on the recognition result data and reference data including at least the synthesis region, the second determination being to determine whether to make a first determination, the first determination being to determine training data for the model based on the composite data; and making the first determination when it is determined in the second determination to make the first determination.

Abstract: An electronic device and a method for training or applying a neural network model are provided. The method includes the following steps. An input data is received. Convolution is performed on the input data to generate a high-frequency feature map and a low-frequency feature map. One of upsampling and downsampling is performed to match a first size of the high-frequency feature map and a second size of the low-frequency feature map. The high-frequency feature map and the low-frequency feature map are concatenated to generate a concatenated data. The concatenated data is inputted to an output layer of the neural network model.

Abstract: Disclosed herein is an object detection system, including apparatuses and methods for object detection. An implementation may include receiving a first image frame from an ROI detection model that generated a first ROI boundary around a first object detected in the first image frame and subsequently receiving a second image frame. The implementation further includes predicting, using an ROI tracking model, that the first ROI boundary will be present in the second image frame and then detecting whether the first ROI boundary is in fact present in the second image frame. The implementation includes determining that the second image frame should be added to a training dataset for the ROI detection model when detecting that the ROI detection model did not generate the first ROI boundary in the second image frame as predicted and re-training the ROI detection model using the training dataset.

Abstract: An image including a first object can be input to a deep neural network trained to detect objects. The deep neural network can output a first feature vector corresponding to the first object. A first distance can be measured from the first feature vector to a feature vector subspace determined using a k-means single value decomposition algorithm on an overcomplete dictionary of feature vectors. The first object can be determined to correspond to an anomaly based on the first distance.

Abstract: A system for analyzing images includes a processing device includes a receiving module configured to receive an image, and an analysis module configured to apply the received image to a machine learning network and classify one or more features in the received image, the machine learning network configured to propagate image data through a plurality of convolutional layers, each convolutional layer of the plurality of convolutional layers including a plurality of filter channels, the machine learning network including a bottleneck layer configured to recognize an image feature based on a shape of an image component, The system also includes an output module configured to output characterization data that includes a classification of the one or more features.

Abstract: A multimodal perception system for an autonomous vehicle includes a first sensor that is one of a video, RADAR, LIDAR, or ultrasound sensor, and a controller. The controller may be configured to, receive a first signal from a first sensor, a second signal from a second sensor, and a third signal from a third sensor, extract a first feature vector from the first signal, extract a second feature vector from the second signal, extract a third feature vector from the third signal, determine an odd-one-out vector from the first, second, and third feature vectors via an odd-one-out network of a machine learning network, based on inconsistent modality prediction, fuse the first, second, and third feature vectors and odd-one-out vector into a fused feature vector, output the fused feature vector, and control the autonomous vehicle based on the fused feature vector.

Abstract: New software systems and capabilities that facilitate the rapid development, evaluation, and deployment of advanced inspection and detection systems using high-fidelity synthetic imagery. The present invention generates high-fidelity synthetic imagery for detection systems that analyze data across the electromagnetic spectrum in an automated, random, directed, or semi-directed manner.

Abstract: Systems and methods which prevent or limit access to protected content (e.g., value bearing indicia (VBI)) by a general purpose user interface application (e.g., web browser) are shown. Embodiments implement techniques to avoid displaying protected content by a general purpose user interface application, or displaying protected content during a time in which a user does not have access to particular functions of the general purpose user interface application, to protect the content from various operations, such as repeated printing, electronic copying, etc. Data presentation formatting control in the form of style sheets may be utilized to control access to content. Additionally or alternatively, executable code or an executable object may be implemented within a page or other content to control access to content. Similarly, separate areas, such as windows or pages, may be utilized to control access to content.

Abstract: A computing device (e.g., a content packager) may receive a request for content (e.g., video, audio, games, applications, data). The computing device may send a second request for the requested content to an encoder. In response to the second request, the computing device (e.g., the content packager) may receive the requested content and a content manifest associated with the requested content. The computing device may determine that encryption key data (e.g., an encryption key and/or key metadata) for the requested content is not in a cache associated with the computing device. The computing device (e.g., the content packager or a cache associated with the content packager) may send a request for the encryption key data associated with the requested content to a cache associated with a second computing device, based on the determination that the encryption key data is not in the cache associated with the computing device.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for providing intelligent analysis of technical and non-technical data to validate instances of permitted use of such brand elements and generate alerts for instances of non-permitted use of such brand elements. The system provides a single portal view for upload of relevant data and transmission of analysis results. The invention utilizes a permissioned distributed register database architecture for the secure storage and tokenization of brand elements and retrieval of validation and ownership information. The invention further includes the capability to recommend and automate remedial measures to prevent continued unauthorized use of brand elements.

Abstract: Enabling control of authenticated applications and websites from other applications and websites within an auto entertainment service, including: implementing controls of the auto entertainment service within a privilege auto platform with a defined structure that enables a controller to issue a command; constructing calls appropriate to execute the command; routing playback controls through the privilege auto platform; issuing the command to the privilege auto platform with a content ID; and receiving the command and making the calls for content and digital rights management to execute the command.

Abstract: Using various embodiments, methods and systems for verification of a digital asset owner in a digital environment are described. In one embodiment, a system is configured to receive a non-fungible token (NFT) associated with a digital asset, the NFT providing proof of ownership of the digital asset through a cryptographic public key and retrieve the digital asset. The system then retrieves a secret pattern from the digital asset, wherein the secret pattern was previously embedded into the digital asset, the secret pattern associated with the cryptographic public key and computes a first identification hash value using a hash function, the hash function receiving a parameter value derived from the secret pattern. The system then receives a second identification hash value and compares the first identification hash value to the second identification hash value. If the first and second identification hash values are identical, then the digital asset is determined to be authentic.

Abstract: The invention discloses a DNN watermarking method, comprising embedding part of the digital watermark in selected redundant elements of a deep neural network (DNN) model—without compromising the performance of the DNN. The proposed method aims for a robust watermark scheme by embedding a large watermark that can span the whole DNN model. If an adversary attempts to destroy the watermark, the whole DNN model will be destroyed. However, maximizing the hiding capacity can lead to degradation in the performance of the DNN model. In this work, this capacity-performance trade-off problem is solved using the Discrete Cosine Transform (DCT). Moreover, the DCT can work more efficiently with highly correlated data. Therefore, this work suggests segmenting the weights of the DNN model into correlated segments to fully exploit the advantages of the DCT.

Abstract: Embodiments of the present invention provide a specified graphical user interface providing a unified enterprise digital desktop platform. The system may include the identification of two or more enterprise applications associated with a particular enterprise. The system can then identify a user associated with the enterprise. Next, the system may determine a relevancy value for each of the two or more enterprise applications with respect to the identified user. At least one computing device associated with the user may be caused to display information in the specified graphical user interface associated with the two or more enterprise applications as a unified digital desktop application. The system can then determine that a triggering event associated with one of the enterprise applications is occurring and, in response, cause the computing device to display an alert notification in the specified graphical user interface.

Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.