Abstract: A method, computer system, and a computer program product for searching are provided. The method may include receiving a word and a context of the word. The context may include additional words. A first word embedding may be generated by inputting a sequence into a word embedding model that resultantly outputs the first word embedding. The sequence may include the word and the context that are concatenated to each other in the sequence. The first word embedding may be compared with other word embeddings. The other word embeddings may have been generated by inputting respective text portions of other texts into the word embedding model. A candidate match of the other texts may be presented. A respective word embedding of the candidate match may be, of the other word embeddings, most similar to the first word embedding according to the comparing.

Abstract: Operations of a search management system are disclosed. The operations may include: identifying a data corpus containing a plurality of documents, generating sets of feature vectors representing the plurality of documents, receiving a query to search the data corpus, generating a query vector for the query, identifying a target feature vector that meets a similarity threshold by comparing the query vector to the feature vectors, and presenting a query result that includes at least part of the document. The feature vectors may be generated by executing a multi-step partitioning process for partitioning a respective document into a plurality of document partitions, such that the sets of feature vectors that are generated correspond to the plurality of document partitions for the respective document. The query result may include a target partition from among the plurality of document partitions represented by the target feature vector.

Abstract: Described herein are systems and methods to enable generation of high-quality summaries of documents that have questions and answers. To help summarize such documents, parsing methods are disclosed that account for different document formats. Question-answer groups are transformed into declarative sentences. Sentence correction can be applied to the declarative sentences. Candidate summary sentences are identified from the declarative sentences, and a subset of the candidate summary sentences are selected for inclusion in a summary. Aspects, segmentation, and augmentation can help with generation and tailoring of summaries.

Abstract: A system is provided that includes a processor configured to receive an input of a user in response to a display of a text segment generated by a decode operation of an audio segment wherein the processor is configured to if the user determines by viewing a display containing one or more text segments that the one or more text segments include an improper splitting of text segments, perform a merge action in response to a user input to merge the one or more text segments into a single text segment for display; and if the user determines by viewing a display containing the at least one single text segment that the at least one single text segment should be split, perform a split action in response to the user input to split the at least one single text segment into the one or more text segments.

Abstract: An artificially intelligent system for generating compliance-related content, the system includes monitoring circuitry that receives regulatory compliance data from published regulatory texts; a taxonomy engine that generates taxonomy-based classifications of the regulatory compliance data, the taxonomy-based classifications having a plurality of modules and compliance requirements within each module.

Abstract: A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

Abstract: A method and apparatus for determining that a media asset appears in at least two or more scenes in scenes associated with an immersive media presentation, sending a request to a client querying whether the client has access to the media asset appearing in at least two or more scenes in a local cache, receiving a reply indicating whether the client has access, signaling, in response to the reply indicating that the client has access to the media asset appearing in at least two or more scenes in the local cache, the client to use the media asset in a subsequent scene, and distributing the media asset to the client in response to the reply indicating that the client has no access to the media asset appearing in at least two or more scenes in the local cache.

Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to automatically annotating images. In some embodiments, a system for automatically annotating images comprises a database, wherein the database is configured to store images and annotations for the images and a control circuit, wherein the control circuit is communicatively coupled to the database, and wherein the control circuit is configured to retrieve, from the database, an image, generate, based on the image, a collection of augmented images, generate segmentation maps for each image in the collection of augmented images, wherein each of the segmentation maps include segments, select, based on a threshold, ones of the segments above a threshold, merge the ones of the segments above the threshold to create a segmented image, and generate, for each segment of the segmented image, classifications, wherein an annotation for the image includes the segmented images and the classifications.

Abstract: Implementations are provided for providing responsive audio recordings to user queries that are prerecorded by human beings, rather than generated automatically using speech synthesis processing. In various implementations, a query provided by a user at an input component of a computing device may be used to search a corpus of voice recordings From the searching, a plurality of candidate responsive voice recordings may be identified and ranked based on measures of credibility associated with speakers that created the candidate responsive voice recordings. Based on the ranking, one or more of the plurality of candidate responsive voice recordings may be provided for presentation to the user at an output component of the same computing device or a different computing device.

Abstract: Methods and systems of determining competition for search queries on a video hosting system on a computer network are provided. Search records associated with search queries directed to the video hosting system are received. Each search record identifies videos available on the video hosting system that are search results for a corresponding search query and indicates associated view durations that the videos were viewed responsive to the search query. Search queries directed to a first and second videos and associated view durations that the first video was watched in response to the queries are identified from the received search records. A competition score indicating an amount of competition between the first and second videos for views of users of the video hosting system is calculated based on the identified search queries and associated view durations.

Abstract: An instructional design tool is provided for designing learning based applications. More specifically, the instructional design tool is configured to use captured expert knowledge for translating such knowledge into an environment used for instructional purposes. The instructional design tool includes at least one component configured to visually model a gaming scenario using recorded knowledge and graphical content defined by values associated with classes of respective models and translate the defined values into a standardized XML format.

Abstract: A URL and a categorization associated with the URL are received. The received URL comprises a hostname portion and a path portion. The hostname portion of the received URL comprises a plurality of segments separated by one or more delimiters. A key associated with the received URL is determined. An operation is performed on a database using the determined key. Examples of such operations include inserting the categorization into the database, changing a value associated with the key in the database, removing a key-value pair from the database, and querying the database.

Abstract: Methods, apparatus and computer program product for generating tiered search index fields based on a divided group-based communication data corpus in a group-based communication platform are described herein. In some embodiments, the system provides for receiving a group-based communication data corpus, generating a retrieval score, and assigning each group-based communication data object associated with a retrieval score. Each group-based communication data object may meet or exceed a retrieval score threshold of a high retrieval probability corpus. Each group-based communication data object associated with a retrieval score below the retrieval score threshold may be assigned to a low retrieval probability corpus. High and a low retrieval probability search index fields may be generated and associated with the high and low retrieval probability corpus.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: Techniques are described herein that are capable of constructing a finite automaton using regular expression derivatives to simulate behavior of a backtracking engine. The behavior indicates an order in which paths in an input regular expression are to be evaluated by the backtracking engine. The finite automaton is constructed to include a graph that includes a root node that represents the input regular expression. Regular expressions are derived such that each derived regular expression is a regular expression derivative of the input regular expression or of another derived regular expression. Priorities are assigned to alternations in the derived regular expressions to correspond to priorities indicated by the behavior. Nodes that represent the respective derived regular expressions and transitions between respective pairs of nodes are caused to be included in the graph. Priorities, which correspond to the order, are assigned to respective branches of the graph.

Abstract: Provided are a data presentation system, method and device, and a computer-readable storage medium. The data presentation system includes: a data collection device configured to collect multiple service system data each from a respective data source and store the service system data in a database; a data parsing device configured to obtain the multiple service system data from the database, and parse each service system data through a respective data model to obtain a data block corresponding to the respective data source; a request responding device configured to: in response to a data request sent by a client, obtain the data block matching the data request as a demanded data block; and a data sending device configured to send the demanded data block to the client to enable a display interface of the client to display the demanded data block.

Abstract: A system that applies real-time electronic matching of a plurality of users in a live event, to enable the formation of anonymous connections amongst groups of users who can then interact through social activities. An event features a plurality of rounds, and in each round, users are matched into groups based on user selected interests. The matching system employs a user-enabled confidential selection of interests, through the use of, but not limited to, a personal device, such as a mobile phone or computer. The present invention is not limited in application to social networking environments, such as in a singles' event. It can also be applied in other environments where anonymous interactions are of importance, such as in the matching of potential buyers or sellers of products and services; or in the matching of recruiters and employment candidates.

Abstract: Systems and methods for updating a data catalog in real-time with changes to metadata are disclosed. An example method may be performed by one or more processors of a system and include detecting changes to metadata in a metadata store, generating an event queue indicating a plurality of change events associated with system objects based on the changes, each of the plurality of change events indicating a number of event attributes and a system object associated with the change event, identifying recent events among the plurality of change events, identifying relevant events among the recent events, extracting unique identifiers from the relevant events, identifying priority objects among the system objects, obtaining, from the metadata store, current metadata for each of the priority objects, and updating information associated with the priority objects in a data catalog, the updating occurring in real-time with the changes to the metadata in the metadata store.

Abstract: A computer system receives a goal for an environment, wherein the environment corresponds to at least one webpage. The computer system receives one or more classifiers corresponding to the environment, wherein the one or more classifiers provide information corresponding to a current webpage and information corresponding to one or more previous actions taken by a web crawler. The computer system identifies a recommended next action based on the one or more classifiers. The computer system transmits the recommended next action to the web crawler to cause the web crawler to perform the recommended next action.

Abstract: An apparatus for the generation of electronic media is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive an entity profile from the user, wherein the entity profile comprises a plurality of entity data. The memory instructs the processor to classify the plurality of entity data into a plurality of entity categories. The memory instructs the processor to generate development data as a function of the classification. The memory instructs the processor to generate electronic media as a function the development data. The memory instructs the processor to display the electronic media using a display device.

Abstract: Systems and methods are described herein for controlling mobile devices with user equipment devices. A user equipment device may detect a mobile device is within a predetermined proximity to the user equipment device by establishing a bi-directional communication. The user equipment device may determine an input/output option of the mobile device. The input/output option may be a microphone, a cellular Internet connection, a camera, or any other sensor and/or actuator of the mobile device. The user equipment device may generate for display an icon corresponding to the input/output option of the mobile device.

Abstract: The present invention relates to an artificial intelligence method and system for event predication, comprising: receiving, user messages, user activity data, event data, user identification information and transaction data; scraping webpages for additional event data; applying a natural language processing module to process the event data; constructing a training data set using the processed event data; constructing user preferences from the user messages, the user activity data, the user identification information and the transaction data; training a predictive model using the training data set to determine at least one upcoming event predictions determining to display the at least one event predictions based on the user profile; if it is determined to display one of the at least one event predictions, generating a graphical user interface display with a calendar depicting the at least one event prediction; and presenting the graphical user interface display to the user.

Abstract: Described herein is a computer implemented method comprising: receiving, at a collaboration system, a page view request from a user device, the page review request being in respect of a page; identifying a content item link in the page for which a preview should be generated; generating a preview generation request for the user device to generate a preview in respect of the identified content item by a preview generation application installed on the user device; receiving, by the collaboration system, the preview generated by the preview generation application installed on the user device; and storing, by the collaboration system, the preview.

Abstract: Systems and methods for using parameters with shortened resource locators to access a resource are provided. A short resource locator is associated with a full resource locator template in a resource locator association datastore. Parameters provided with the short resource locator are used to replace two or more parameter identifiers within a full resource locator template to generate a full resource locator. The full resource locator is used to access a resource.

Abstract: The present invention relates to systems, apparatus, and methods of accelerating web transactions. One embodiment includes observing, with a web browser plug-in operating on a computer, at least a portion of a first web page transaction in a web browser operating on the computer. A web browser module may be used to identify transaction information from the observing of the at least a portion of the first web page transaction. The browser may communicate transaction information to a prefetching system in a communication separate from the first web page transaction; and the transaction information may be used to perform a prefetch operation.

Abstract: The present invention relates to systems, apparatus, and methods of using usage data to determine the dependency structures of a web application, including dependency structures between follow-on objects of an initial object in a web transaction. In one embodiment, an input URL and associated dynamic response data are analyzed for such nested or dependent relationships. In further embodiments, analysis of these relationships are used to improve prefetching operations to lower overall page load times.

Abstract: A processor retrieves a webpage for rendering in a web browser. A processor identifies at least one zone of the webpage. A processor determines a resource consumption rate for the at least one zone. A processor determines a display area for the at least one zone. A processor determines a consumption ratio based on the resource consumption rate and the display area of the at least one zone. In response to the consumption ratio exceeding a threshold value, a processor disables a rendering of the at least one zone when rendering the webpage in the web browser.

Abstract: A computer-implemented method, computer program product and computing system for executing a description model when utilizing a website; detecting a failure associated with the execution of the description model; re-executing the description model one or more times in an attempt to utilize the website; and if a failure is detected one or more times, reporting the failure to a user.

Abstract: A vector dot product multiplier receives a row vector and a column vector as floating point numbers in a format of sign plus exponent bits plus mantissa bits. The dot product multiplier generates a single dot product value by separately processing the sign bits, exponent bits, and mantissa bits in a few pipelined stages. A first pipeline stage generates a sign bit, a normalized mantissa formed by multiplying pairs multiplicand elements, and exponent information. A second pipeline stage receives the multiplied pairs of normalized mantissas, performs an adjustment, performs a padding, complement, and shift, and sums the results in an adder stage. The resulting integer is normalized to generate a sign bit, exponent, and mantissa of the floating point result.

Abstract: Techniques for generating machine learning training data which corresponds to one or more downstream tasks are disclosed. In one example, a computer implemented method comprises generating one or more synthetic data instances for training a machine learning model, and determining a value of respective ones of the one or more synthetic data instances with respect to at least one task. One or more additional synthetic data instances for training the machine learning model are generated based at least in part on the values of the respective ones of the one or more synthetic data instances.

Abstract: Systems and methods for obtaining attention features are described. Some examples may include: receiving, at a projector of a transformer, a plurality of tokens associated with image features of a first dimensional space; generating, at the projector of the transformer, projected features by concatenating the plurality of tokens with a positional map, the projected features having a second dimensional space that is less than the first dimensional space; receiving, at an encoder of the transformer, the projected features and generating encoded representations of the projected features using self-attention; decoding, at a decoder of the transformer, the encoded representations and obtaining a decoded output; and projecting the decoded output to the first dimensional space and adding the image features of the first dimensional space to obtain attention features associated with the image features.

Abstract: This disclosure provides for methods and system for meta few-shot class incremental learning. According to an aspect a method is provided. The method includes obtaining at least one weight attention map of a first network and updating weights of a second network using the at least one weight attention map, where the second network is a modulatory network. The method further includes generating at least one feature attention map of the second network based on the at least one weight attention map of the first network and a set of input images of at least one class. The method further includes generating at least one feature map of the first network based on the set of input images of the at least one class, and updating the at least one feature map of the first network based on the feature attention map of the second network.

Abstract: A method for training a neural network for detecting a plurality of classes of object within a sample comprises providing a training data set comprising a plurality of samples, each annotated according to whether the samples include labelled objects of interest. In a first type of samples, all objects of interest are labelled according to their class and comprise a foreground of the samples, the remainder of the samples comprising background. In a second type of samples, some objects of interest are labelled in a foreground and their background may comprise unlabelled objects. A third type of samples comprise only background comprising no objects of interest. Negative mining is only performed on the results of processing the first and third types of samples.

Abstract: A learning data generation device includes an acquisition unit, an attention level derivation unit, and a selection unit. The acquisition unit acquires sequence data including a plurality of frames that include a target and are consecutive in a sequence. The attention level derivation unit derives an attention level that is feature data in a time axis direction of each of the plurality of frames included in the sequence data by using a trained model. The selection unit selects one or a plurality of frames included in the sequence data as a learning frame to be used for learning data based on the attention level.

Abstract: Techniques for anomaly detection are described. An exemplary method includes receiving one or more requests to train an anomaly detection machine learning model using feedback-based training, the request to indicate one or more of a type of analysis to perform, a model selection indication, and a configuration for a training dataset; training the anomaly detection machine learning model according to the one or more requests using the training data; performing feedback-based training on the trained anomaly detection machine learning model; and using the retrained anomaly detection machine learning model.

Abstract: At an artificial intelligence system, training iterations of a first machine learning model are implemented. In a particular iteration, a group of data items are selected from an item collection using active learning, and respective labels selected from a set of tags are obtained for at least some of the items of the group. Using feature processing elements of a different machine learning model, a respective feature set corresponding to individual labeled items is generated in the iteration, and the feature sets are included in a training set used to train the first machine learning model. A trained version of the first machine learning model is stored after a training completion criterion is met.

Abstract: Various embodiments a method and apparatus for unmanned driving behavior decision-making and model training, and an electronic device. The method includes: acquiring sample data, wherein the sample data includes a sample image; extracting a sample feature vector corresponding to the sample data, wherein a feature vector of the sample image is extracted by manifold dimension reduction; and based on the sample feature vector, training by semi-supervised learning to obtain a target decision-making model, wherein the target decision-making model is used for decision-making classification.

Abstract: The present invention provides a data analysis system capable of performing analysis appropriately using a CNN model while reducing communication traffic. A data analysis system 90 includes: an instrument 10 that performs a conversion process of outputting compression data obtained as a result of processing observation data received via an input layer of a learned neural network 18A using portions ranging from the input layer to a predetermined intermediate layer; and a device 20 that performs an analysis process of inputting the compression data to a subsequent intermediate layer in a learned neural network 18B, inputting data obtained by decoding the compression data, which is an output of the subsequent intermediate layer, to an output layer configured using a CNN model, and obtaining an analysis result of the observation data as an output of the output layer.

Abstract: Methods, systems, articles of manufacture, and apparatus to recalibrate confidences for image classification are disclosed. An example apparatus to classify an image includes an image crop detector to detect a first image crop from the image, the first image crop corresponding to a first object, a grouping controller to select a second image crop corresponding to a second object at a location of the first object, a prediction generator to, in response to executing a trained model, determine a label corresponding to the first object and a confidence level associated with the label, and a confidence recalibrator to recalibrate the confidence level based on a probability of the first object having a first attribute based on the second object having a second attribute, the confidence level recalibrated to increase an accuracy of the image classification.

Abstract: Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.

Abstract: An error determination device includes a class estimation process observation unit configured to acquire data in a process of being estimated, from a class estimation unit that estimates a class of data to be classified and generate an estimation process feature vector based on the acquired data; and an error determination unit configured to accept input of the estimation process feature vector generated by the class estimation process observation unit and a classification result output from the class estimation unit and determine whether the classification result is correct or incorrect based on the estimation process feature vector and the classification result, wherein the error determination unit is a functional part generated by machine learning based on an estimation process feature vector list created by adding a pseudo feature vector to an estimation process feature vector list generated by the class estimation process observation unit and on a learning error-correction list indicating that a class co

Abstract: The present invention discloses an item-customer matching method and device based on vision and gravity sensing, and belongs to the technical field of computer. The method comprises acquiring the identity information of a customer and tracking the customer in real time in the shopping place, wherein shelves for carrying items are arranged; acquiring the shelf position of the shelf where the loading weight changes; identifying the items that cause changes in the loading weight of the shelf to obtain the item identification result; determining the identity information of the purchaser according to the shelf position, the hand position of the customer, and the action behavior of the customer, wherein the purchaser is a customer matching the item identification result. The device includes a customer tracking module, a shelf position acquiring module, an item identification result acquiring module, and a matching module.

Abstract: A secure communication system is disclosed for communication between first and second party devices. An input interface is provided for receiving from an external host a unique host factor in addition to a user input interface for receiving from a user a unique PIN for a user and a selection input for selecting one of the plurality of stored entropy stores as a user selected entropy store A first private key generator is operable for generating a private key using a key generation algorithm requiring the selected entropy store, the host factor and the unique user PIN. The second party device includes a second storage device for storing a plurality of entropy stores. An input interface is provided for receiving the same unique host factor as received by the first party device. A communication interface facilitates communication with the first party device to receive from the first party device a user PIN and an indication of the user selected entropy store.

Abstract: Techniques for securing computer executable software for tracking usage of at least one software application are presented. The computer executable software for tracking usage of at least one software application can include tracking software installed on a client and monitoring software installed on the client, where the monitoring software is hidden from users of the tracking software. The techniques can include tracking, by the tracking software, a usage of the at least one software application by the client; obtaining, by the tracking software, a status of the monitoring software; and restarting the monitoring software, by the tracking software, in response to obtaining a status of the monitoring software indicating that the monitoring software is not executing.

Abstract: A system and method for initiating a royalty percentage calculation with a minting process of a non-fungible token (NFT) associated with media content comprising, for example, identifying, via a digital vault, media content stored and accessible through the digital vault in a request from an NFT creator to utilize the media content in the NFT; initiate the minting process with the media content that converts digital data associated with the media content into digital assets recorded on a blockchain; storing the digital data in a distributed ledger or decentralized database that cannot be edited, modified, or deleted; upon completion of the minting process, initiating one or more processes associated with the media content or the NFT in accordance with royalty percentages of the media content; and transmitting an alert to the NFT creator and rights holder associated with the one or more payment transactions to the accounts.

Abstract: Systems, computer program products, and methods are described herein for secure access control using dynamic resource replication. The present invention is configured to electronically receive, from a computing device of a user, a request to generate a resource access path to access a resource; determine one or more resource requirements associated with the resource; determine an authentication level associated with the user; initiate a resource replication engine on the one or more resource requirements and the authentication level associated with the user; determine, using the resource replication engine, that the one or more requirements and the authentication level associated with the user meets one or more conditions for a replication process; and generate, using the resource replication engine, the resource access path and a plurality of replicate resource access paths.

Abstract: A mobility user authentication apparatus using a brain wave signal includes a receiver configured to receive a predetermined user input from a passenger of a mobility, a display configured to display a preset image list to the passenger on a predetermined area in the mobility based on the received user input, as a response to the displayed image list, a sensor configured to collect a brain wave signal for the passenger for a predetermined time, and a controller configured to perform authentication for the passenger by analyzing the collected brain wave signal.

Abstract: Systems and methods provide techniques for illumination-based user authentication. In one embodiments, a method includes at least operations configured to receive a user authentication request for a computing device, and in response to receiving the user authentication request, cause a display device of the computing device to display a display pattern during a first time period; determine, based on image sensor data received from an image sensor device of the computing device, a responsive facial state during the first time period; determine a responsive correlation score for the display pattern and the responsive facial state, wherein the reflective correlation score is an estimated likelihood that that the responsive facial state indicates an authenticated end-user observing the display pattern; and determine whether to grant the user authentication request based on one or more authentication indicators, wherein the one or more authentication indicators comprise the responsive correlation score.

Abstract: Systems and methods for voice authentication are disclosed. In an embodiment, a computer system may determine that a user is eligible for establishing a voice authentication capability for a user account during a real-time audio communication between a user device corresponding to the user and a communication system associated with an electronic service provider. The computer system may enhance a recording quality of a portion of the real-time audio communication and record a voice sample for the portion of the real-time audio communication at the enhanced recording quality. The computer system may generate a voiceprint based on the voice sample and enable the voice authentication capability such that the user can be authenticated by voice in future audio communications with the communication system in a minimally intrusive fashion where normal conversation can be used to capture voice samples which can be compared to the voiceprint to authenticate the user.