Abstract: A method for determining a spatial relationship, includes: obtaining a calculation request for the spatial relationship, the calculation request including a polygonal region and a set of report points; determining a plurality of first coded values corresponding to the polygonal region; determining a plurality of second coded values corresponding to the set of report points and a group of report points corresponding to each of the plurality of second coded values; determining a second coded value matching each of the plurality of first coded values by sorting and matching the plurality of first coded values and the plurality of second coded values respectively; and determining a relationship between the polygonal region and each report point in the set of report points according to a group of report points corresponding to the second coded value matching each of the plurality of first coded values.

Abstract: According to one embodiment, an information processing method includes, based on a metamodel which is located in a first layer and in which a composition relationship and a reference relationship among plural types of information models located in a second layer are defined, creating a guide tree indicating a relationship between the information models. A data item (property) of data related to devices is defined in the information model. The guide tree indicates that an upper-layer first information model in which a relationship is indicated in the guide tree is able to use a data item defined in a lower-layer second information model.

Abstract: A method and system for retrieval of contextual information related to unmet medical need of an indication. The identification of unmet medical need of an indication becomes a critical information in the drug discovery process. The system for retrieval of contextual information related to unmet medical need of an indication enables providing assistance to scientists through digital pharma. The method comprises scanning plurality of medical literature documents to extract and tokenize the documents into plurality of sentences. The scanned plurality of sentences is modelled, by one or more processors, to identify contextually labelled one or more sentences comprising indications, one or more unmet medical need categories, one or more unmet medical need attributes. The plurality of sentences is modelled using one or more of natural language processing techniques and supervised ML classifier.

Abstract: A computer implemented method is provided for automatically determining a response to an input query. The method includes searching at a first stage a data repository using the input query. The data repository is configured to store historical queries and their corresponding responses. The search is adapted to determine a plurality of historical queries related to the input query and historical responses corresponding to the related historical queries. The method also includes clustering the plurality of historical responses into one or more response groups, where each response group includes one or more similar historical responses. The method additionally includes searching at a second stage a content management system (CMS) to determine if there is at least one similar response to at least one historical response in each response group. The CMS is configured to store standard responses to anticipated queries.

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, craft responses whose content is drawn from a library of electronic documents, and/or suggest text for an electronic document being authored by the end-user. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: Some implementations are directed to generating a personal database entry for a user based on free-form natural language input formulated by the user via one or more user interface input devices of a computing device of the user. The generated personal database entry may include one or more terms of the natural language input and descriptive metadata determined based on one or more terms of the natural language input and/or based on contextual features associated with receiving the natural language input. Some implementations are directed to generating, based on one or more personal database entries of a user, output that is responsive to further free-form natural language input of the user. For example, one or more entries that are responsive to further natural language input of the user can be identified based on matching content of those entries to one or more search parameters determined based on the further input.

Abstract: A method of structuring entity data using a machine learning document profiling model for improved information extraction comprises: training a learning document profiling model by applying document data and identification information on different document types to the learning document profiling model; profiling entity document data using the trained learning document profiling model; generating an entity profile using the trained learning document profiling model based on the profiled document data; selecting a subset of documents comprised in the profiled document data based on the entity profile; and tagging the selected subset of documents for further processing comprising one or more of a topic extraction process, a document processing algorithm selection process, a topic importance rating process, a knowledge graph mapping process, a document signature generation process, a document querying process, and a language derivation process.

Abstract: A method for classifying patent documents may include the steps of identifying original patent documents in a patent pool identified according to a search and/or selection input of a user, determining the first patent documents classified in the classification generated by the user, among the original patent documents in the patent pool; outputting an indication for accuracy related to the automatic classification; and performing the automatic classification for second patent document which are not yet classified, among the patent documents in the patent pool.

Abstract: In an example, a method for adapting a machine learning model includes receiving first input data; choosing a first set of unlabeled textual spans in the first input data, wherein the chosen first set of unlabeled textual spans is associated with a first domain; labeling the chosen first set of unlabeled textual spans to generate a labeled first set of textual spans; categorizing the labeled first set of textual spans to generate a categorized labeled first set of textual spans; receiving second input data; choosing a second set of unlabeled textual spans, wherein the second set of unlabeled textual spans is associated with a second domain; and adapting the machine learning model to the second domain based on the categorized second set of unlabeled textual spans that is generated based on the categorized labeled first set of textual spans.

Abstract: Various embodiments comprise systems, methods, architectures, mechanisms, apparatus, and improvements thereof for the processing of text-based content such as from a collection of content items including unstructured and structured text of different formats and types so as to automatically derive therefrom an organized, trend-indicative representation of underlying topics/subtopics within the collection of content items.

Abstract: Apparatus for use in generating a mapping using ontologies, the apparatus including at least one electronic processing device that determines ontologies having respective ontology terms, determines a group of ontology terms from at least one of the ontologies, determines alignment between ontology terms in the ontologies for at least some of the group of ontology terms, the alignment being determined at least partially in accordance with an ontology term meaning of the ontology terms and generates a mapping in accordance with the alignment.

Abstract: In one example, a method performed by a processing system including at least one processor includes detecting a need for assisted recall relating to an event in which a user was involved at a time in the past, identifying an instance of egocentric media stored in a library of egocentric media, wherein the instance of egocentric media matches the event in which the user was involved, modifying the instance of egocentric media to assist the user in recalling the event in which the user was involved, and presenting the instance of the egocentric media, as modified, to a user endpoint device of the user.

Abstract: In some aspects, a server trains an artificial intelligence (AI) to create a trained AI. The training includes: selecting a content creator from multiple content creators to create a selected content creator, selecting a plurality of content items associated with the content creator to create selected content items, training the AI using the selected content items, determining a creator influence of the selected content creator on the trained AI based on an aggregate influence of the selected content items on the AI during the training, and including the creator influence in a static attribution vector. After the training is completed, the trained AI receives an input and generates an output. The server creates an attribution determination based at least in part on the static attribution vector and initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.

Abstract: An electronic system stores metadata for a plurality of media items, including, for each media item of the plurality of media items, at least one categorical identifier from a set of categorical identifiers. For a user of the media-providing service, the electronic system (i) determines a distribution of interests of the user with respect to the set of categorical identifiers; (ii) generates a network graph configured to represent a calibrated media item selection task, wherein the network graph represents respective relevance scores for each respective media item of the plurality of media items and the distribution of interests of the user with respect to the categorical identifiers; (iii) selects a set of media items from the plurality of media items to recommend to the user by solving for a maximum flow of the network graph; and (iv) provides the set of media items as recommendations to the user.

Abstract: Methods and systems for returning search results based on diagrams as search inputs are disclosed herein. One method can include receiving a search request from a user, the search request including an image that depicts a diagram with at least one associated question, and processing the search request using a diagram parsing model to obtain a formal language representation of the diagram. The method can also include providing the formal language representation of the diagram to a search engine as a search query, and receiving, as a search result to the search query, at least one solution to the at least one associated question of the diagram.

Abstract: The invention relates to a system that allows a user to pull slides from a corporate slide library that has individual slides for every issue: who you are, what you do, how you do it, why you do it. The system allows the user to read and react to your client's needs on the fly with valued documentation that is part of the corporate library and contains ratings with respect to the effectiveness of the slide.

Abstract: The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, there is provided a control method for an electronic apparatus for searching for an image, the method comprising displaying an image comprising at least one object, detecting a user input for selecting an object, recognizing an object displayed at a point at which the user input is detected and acquiring information regarding the recognized object by using a recognition model trained to acquire information regarding an object, displaying a list including the information regarding the object, and based on one piece of information being selected from the information regarding the object included in the list, providing a related image by searching for the related image based on the selected information.

Abstract: An image processing apparatus is configured to acquire a query image including a subject that is a search target, and an image to be searched, extract a first feature vector that represents features of the search target included in the query image, extract a feature vector map that represents feature vectors of a subject at each position of the image to be searched, perform an arithmetic operation based on the first feature vector and the feature vector map to obtain a heat map that represents the likelihood that the search target is present.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: A system for dynamic playlist generation may comprise a mobile device including a display a processor a tangible, non-transitory electronic memory in electronic communication with the processor, and a set of computer readable code on the non-transitory electronic memory, including a user interface (UI) module executable to display system information and receive user inputs a mapping module executable to request and receive location data from a location data source, to request and receive map data from a map data source, and to integrate the map data and the location data in real time to generate a dynamic map displayable via the UI module, a Field of View (FOV) detector module executable by the processor to determine a current field of view of the dynamic map as displayed on the display via the UI module, and a list generator module.

Abstract: Methods and apparatus to audio watermarking and watermark detection and extracted are described herein. An example method includes receiving a media content signal, sampling the media content signal to generate samples, storing the samples in a buffer, determining a first sequence of samples in the buffer, determining a second sequence of samples in the buffer, wherein the second sequence of samples is of substantially equal length as the first sequence of samples, calculating an average of the first sequence of samples and the second sequence of samples to generate an average sequence of samples, extracting an identifier from the average sequence of samples, and storing the identifier in a tangible memory.

Abstract: Systems and methods are disclosed herein for generating content based on matching mappings by implementing deconstruction and reconstruction techniques. The system may retrieve a first content structure that includes a first object with a first mapping that includes a first list of attribute values. The system may then search content structures for a matching content structure having a second object with a second list of attributes and a second mapping including second attribute values corresponding to the second list of attributes. Upon finding a match, the system may generate a new content structure having the first object fro m the first content structure with the second mapping from the matching content structure. The system may then generate for output a new content segment based on the newly generated content structure.

Abstract: A computer system for generating contextual graphs, revolutionizing information visualization and comprehension is disclosed herein. This system combines a user-friendly graphical user interface, a computing device, and a force-profile to craft intuitive, interactive contextual graphs. Users input concepts or terms, transformed into nodes, and define relationships between them, realized as links. The force-profile may influence the positioning, size, and significance of nodes and links, offering an engaging visualization experience. The system may allow users to explore paths, fostering an understanding of complex associations. Furthermore, the system may identify gaps and anomalies in graphs, encouraging comprehensive data exploration. In short, the computer system and methodologies disclosed herein may empower users to communicate and convey thoughts through dynamic, interactive contextual graphs, transcending conventional information representation.

Abstract: In an embodiment, the a method is provided. The method includes receiving forecast data in a database with an associated window value. The method also includes accessing data based on associated window values. The method further includes comparing the data accessed based on associated window values to other data.

Abstract: A method, a system, and a computer program product for generating an interpretable set of features. One or more search parameters and one or more constraints on one or more search parameters for searching data received from one or more data sources are defined. The data received from one or more data sources is searched using the defined search parameters and constraints. One or more first features are extracted from the searched data. The first features are associated with one or more predictive score values. The searching is repeated in response to receiving a feedback data responsive to the extracted first features. One or more second features resulting from the repeated searching are generated.

Abstract: Records can be matched by a graph neural network model performing entity resolution on the records, and representing each record as a respective node in a graph. Record matching explanations can be generated, each record matching explanation indicating a first set of attributes, and a first set of corresponding values, used for the matching at least two of the records. Nodes can be clustered into a plurality of clusters by aggregating the record matching explanations and, based on the record matching explanations, determining which of the records have high importance values, in the first set of values, that match. At least one cluster explanation can be generated, the cluster explanation indicating a second set of attributes, and a second set of values corresponding to the second set of attributes, used for the clustering the nodes. The record matching explanation and the cluster explanation can be output.

Abstract: Disclosed, in one general aspect, is a computer-based method and apparatus for extracting predictive information from a collection of stored, machine-readable electronic documents. The method includes accessing at least a subset of the electronic documents each including different machine-readable predictive information about one or more future facts occurring after a publication time for that document. The method also includes extracting the predictive information about the one or more future facts from the accessed documents, and deriving one or more predicted query information items based on the predictive information extracted in the step of extracting.

Abstract: Displaying relevant data subsets of at least one data collection includes providing an input data subset, determining a plurality of partial relevance values for different characteristics of each of the plurality of data subsets of the at least one data collection with respect to the input data subset according to a term frequency of terms in the input data subset and term in each of the plurality of data subsets of the at least one data collection and according to an inverse document frequency of the terms, determining a relevance of each of the plurality of data subsets of the at least one data collection based on the partial relevance values of the different characteristics, and displaying at least a portion of the data subsets of the at least one data collection in order of relevance.

Abstract: Novel tools and techniques are provided for scene aware searching. A system may include a media player configured to play a video stream, a database, and a server configured to host an artificial intelligence (AI) engine. The server may further include a processor and a non-transitory computer readable medium comprising a set of instructions that, when executable by the processor to receive, from the media device, a search query from a user. The AI engine may further be configured to obtain the video stream associated with the search query, identify one or more objects in the video stream, derive contextual data associated with the one or more objects, identify one or more matches based on the contextual data, and determine a result of the search query.

Abstract: A method for providing document category recommendations may include training a machine learning algorithm; receiving, from a user, a selection of an anchor document; retrieving a user co-viewing sequence; generating, via the trained machine learning algorithm, a sequence embeddings set based on the anchor document and the user co-viewing sequence; comparing the generated embeddings set to respective embeddings for a plurality of candidate sets; determining the candidate set closest to the generated embeddings; and presenting at least one category from the closest candidate set.

Abstract: Systems and methods for searching online profiles on an application portal is disclosed. One method may include: receiving, at an application portal, a search request from a user; retrieving, by the one or more processors and from one or more accessible databases associated with the application portal, one or more online profiles that are determined to match the category selection and the keyword indication; assigning, utilizing a ranking algorithm, each of the one or more online profiles a rank, wherein the rank is assigned based on one or more ranking criteria; presenting, on a search results screen, a listing of previews of the one or more online profiles to the user in a ranked order based on the assigned rank, wherein each of the previews contains a subset of information contained in the one or more online profiles.

Abstract: Systems and methods are provided for filtering and/or creating Points-of-Interest (POIs). In one embodiment, a list of POIs is obtained and then filtered based on crowd data related to the list of POIs to provide a filtered list of POIs. In another embodiment, one or more crowd-sourced POIs are created based on one or more crowds relevant to a corresponding bounding region for POI creation.

Abstract: The present disclosure provides for searching, browsing, or navigating temporally, such that a temporal map displays events in a neighborhood or city as of a particular date or point in time. User time filters may be applied to limit results to a particular time frame, and other types of filters may be applied to limit results to particular geographic regions, types of events, characteristics of a venue such as seating capacity, or other parameters. The results may be surfaced as point of interest (POI) pins or in a contents of an information section for businesses that includes information such as address, business hours, and customer reviews. In this regard, business and social life, and the vibe of a neighborhood may be represented in online maps.

Abstract: An information processing system includes a processing result database that stores a processing result of a processing target including location information. One or more processors determine a unit area corresponding to the location information included in the processing target. The processors analyze the text through any of analysis processes including a first analysis process and a second analysis process higher in accuracy than the first analysis process. When a processing result of another processing target for the determined unit area has been already stored after obtaining a first processing result by analyzing the text through the first analysis process, the processors add the first processing result to the processing result database. When the processing result of the other processing target has not been stored, the processors obtain a second processing result by analyzing the text through the second analysis process and store the same into the processing result database.

Abstract: A method, computer system, and a computer program product for cross-information architecture (IA) historical breadcrumb control is provided. The present invention may include generating a historical breadcrumb control on a user device. The present invention may also include rendering a list of breadcrumb trails in the generated historical breadcrumb control in a temporal order, wherein each breadcrumb trail in the rendered list of breadcrumb trails represents a page location path of an IA accessed by a user.

Abstract: Provided are a system and method associated with managing content entries in association with contacts of an address book using a computing device, wherein the method includes accessing a content entry from a content source; posting a contact selected from or added to the address book in association with the content entry, as a record associated with the computing device in a database; and displaying the content entry in association with the contact as posted, wherein the contact is selectable such that a storyline is generated in connection with the contact as posted, the storyline including one or more respective content entries associated with the contact in the database, wherein the one or more respective content entries include the content entry as posted, the respective content entries of the storyline being accessible from one or more content sources.

Abstract: A contextual linkage search tool system and method wherein a graphic icon indicating a possible next stage of a search query sequence is returned in response to an initial user input search query. The possible next stage of the search query sequence is determined by reviewing search history data to determine locational and temporally relevant search results to the user and their initial query.

Abstract: A system for finding and presenting content relevant to a user objective includes a research management module configured to receive a research objective from a user and determine one or more sources of content visited by the user, a content evaluation module configured to determine whether the one or more sources of content visited by the user are relevant to the research objective and identify relevant sections of content within the sources of content visited by the user to produce identified sections of relevant content and a user interface module configured to present the identified sections of relevant content to the user. A computer-implemented method and computer program product corresponding to the above system are also disclosed herein.

Abstract: A website building system (WBS) includes at least one processor, one database storing the WBS components and component compositions of multiple websites and multiple per search engine SEO (search engine optimization) behaviors. The per search engine SEO behavior is associated with one website and one search engines and the per search engine SEO behavior contains information that enables ranking the website, the ranking is associated with one of the search engines and an SEO tool running on the processor to provide per search engine recommendations related to changes to the WBS components and component compositions when accessed by at least one search engine based on the per search engine SEO behavior.

Abstract: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.

Abstract: A computer implemented method and a computer to determine a control protocol Hamiltonian for a quantum process is provided. Quantum systems driven according to the control protocol Hamiltonian are provided.

Abstract: A convolution circuit includes a buffer memory and a computation circuit. The computation circuit receives an input element according to a memory access sequence, and determines whether a filter location corresponding to each weight of a weight matrix is within an operation range. For each weight within the operation range, the computation circuit calculates an index of the buffer memory, reads a temporary value located at the index, multiply the input element and the weight to obtain a product, and accumulate the product to the temporary value. If accumulation times of the temporary value meet a predetermined number of times, the temporary value is output. If the accumulation times do not meet the predetermined number of times, the temporary value is stored back into the buffer memory.

Abstract: A computer-implemented method to generate weights and inputs in a multiply-and-accumulate (MAC) operation that are resilient to reduced precision. The method includes providing a matrix M and its pseudoinverse M?1. Weights W are multiplied with M?1 and an input vector value x is multiplied with M. Two new matrices W2 and x2 are defined based on the multiplying of W with M?1 and x with M. The matrices W2 and x2 are encoded with increased resilience to reduce precision in place of the weights W and input vector value x.

Abstract: Disclosed herein includes a system, a method, and a device for processing and converting data using matrix operations. Circuitry can partition an input of a first data format across a plurality of lookup tables each residing in a respective memory. The circuitry can access weight information from a load store memory, and the partitioned input on a per column basis from the plurality of lookup tables. The circuitry can perform a number of multiply-accumulate (MAC) operations per cycle between the weight information from the load store memory and the partitioned input read on a per column basis from the plurality of lookup tables. The number of MAC operations performed per cycle can correspond to a total number of columns of the plurality of lookup tables. The circuitry can generate, responsive to the MAC operations on the partitioned input, a plurality of outputs in a second data format.

Abstract: Generally discussed herein are devices, systems, and methods for generating synthetic datasets. A method includes obtaining a first training labelled dataset, obtaining a second training labelled dataset, determining an optimal transport (OT) map from a target labelled dataset to the first training labelled dataset, determining an OT map from the target labelled dataset to the second training labelled dataset, identifying, in a generalized geodesic hull formed by the first and second training labelled datasets in a distribution space and based on the OT maps, a point proximate the target dataset in the distribution space, and producing the synthetic labelled ML dataset by combining, based on distances between probability distribution representations of the first and second labelled training datasets in the distribution space and the point, the first and second labelled training datasets resulting in a labelled synthetic dataset.

Abstract: A method may include executing a neural network to extract a first plurality of features from a plurality of first training images and a second plurality of features from a second training image; generating a model comprising a first image performance score for each of the plurality of first training images and a feature weight for each feature, the feature weight for each feature of the first plurality of features calculated based on an impact of a variation in the feature on first image performance scores of the plurality of first training images; training the model by adjusting the impact of a variation of each of a first set of features that correspond to the second plurality of features; executing the model using a third set of features from a candidate image to generate a candidate image performance score; and generating a record identifying the candidate image performance score.

Abstract: A computerized method for detecting and analyzing data clones in one or more dataset pairs has the steps of: obtaining one or more similarity matrices and one or more sets of readout values of the one or more similarity matrices from the dataset pairs using a data-clone detection method, each set of readout values corresponding to a similarity matrix; obtaining one or more importance values for the one or more similarity matrices by processing the one or more sets of readout values using an interpretation method, each importance value corresponding to a similarity matrix; obtaining one or more weighted similarity matrices by weighting each similarity matrix using the corresponding importance value; and obtaining one or more summed similarity matrices by grouping and summing the weighted similarity matrices according to one or more categories for providing a result with indications of locations of the data clones in the dataset pairs.

Abstract: A diagnostic assistance system for assisting a person in performing diagnosis of an object includes target data storage means for storing target data indicating a state of the object, diagnostic task means for providing each of a first user and a second user with the target data to enable each of the first user and the second user to perform a diagnostic task of the object, diagnostic result means for receiving a result of diagnosis of the object by each of the first user and the second user, and sharing means for enabling the first user and the second user to share result of diagnosis by each of the first user and the second user. The diagnostic task includes a first sub-task of investigating the target data to output a first diagnostic result and a second sub-task of using the first diagnostic result to output a second diagnostic result.

Abstract: System and method for managing digital assets is disclosed. The system and method provide automated distribution of royalties and fundraising using non-dynamic or dynamic Non-Fungible Tokens (NFTs) generated from social media entities, The system incorporates blockchain technology, smart contracts, and a unique algorithm to automate the distribution of royalties to one or more recipients and facilitate fundraising through NFT sales. The system addresses the challenges in existing systems by introducing a novel approach to NFT creation, distribution, and valuation based on social media voice (SMV) scores. The system and method provide a comprehensive solution to streamline the creation, valuation, and distribution of NTTs in the context of social media, enhancing transparency, and automating various processes for royalties, fundraising, and rewards.

Abstract: A method for preventing digital content misuse can include detecting, by a client-side computing device, that the client-side computing device is paired to a viewing device such that, after being paired, the client-side computing device can cause digital content received from a remote server to be presented on a display of the viewing device; after detecting that the client-side computing device is paired to the viewing device, detecting, by the client-side computing device, that the client-side computing device has been unpaired from the viewing device; and in response to detecting that the client-side computing device has been unpaired from the viewing device, executing a remedial action.