Abstract: Computer-implemented methods for system identification and connectivity creation. Aspects include obtaining, by the processor, customer data and applying one or more natural language processing techniques to the customer data to generate one or more entities for a first data structure. Aspects also include generating one or more predicted entities based on the one or more entities and analyzing the one or more predicted entities of the first data structure to determine a candidate source system, wherein the one or more predicted entities include one or more connection parameters. Aspects further include generating a system environment to connect the candidate source system to the target system based on the first data structure.

Abstract: A document categorization method, system, and computer program product that includes forming a corpus of categorized documents by relying on a manual classification of a subject matter expert, composing a bank of questions, and answering each question automatically using a question answering language model with respect to each document and generating a set of features for each document.

Abstract: A search assistant method, the method of searching for patent documents material to elements of a target patent document including: receiving the target patent document including the elements, the target patent document being machine-readable; selecting keywords from the elements; identifying synonyms corresponding to the keywords in a synonym database; forming the keywords and the identified synonyms into a search string; identifying patent documents in a patent database based on the search string; highlighting the keywords and the identified synonyms in the identified patent documents; ranking the identified patent documents based on relevance of the highlighted keywords and the highlighted identified synonyms in each of the identified patent documents to the search string; determining citations in at least one of the ranked identified patent documents for each of the highlighted keywords and the highlighted identified synonyms; and mapping the elements of the target patent document to the determined citati

Abstract: A chatbot receives a player query for help and based on being trained on a wide corpus of documents including gamer comments on social media sites, returns in natural human language either spoken or written, a gameplay strategy. Accordingly, a player can input a question to a model such as chatGPT to cause the model to determine an optimum mechanic (such as a weapon) for the player's current game situation and if desired return a video clip showing the mechanic and use thereof. In training, recognized objects can be input to the chatbot with ground truth description. The chatbot can access sites such as Discord, Reddit, etc. to learn what gamers are talking about.

Abstract: Techniques are disclosed relating to operating, by a computer system, a semantic search engine to retrieve records from a data store. The technique includes training, by the computer system using a plurality of training data sets that include queries and corresponding records, a retrieval model for use in the semantic search engine. The technique may further include generating, by the trained retrieval model, a particular output vector representing a received semantic search query, and generating, using the particular output vector, a respective similarity score for ones of candidate records identified in the data store. The trained retrieval model may send the particular output vector to a late interaction model, and the late interaction model may sort, using the particular output vector, candidate records with respective similarity scores that satisfy a threshold score.

Abstract: A method for providing predictive outputs and key drivers may include receiving a prompt from a user, providing the prompt to an artificial intelligence process, receiving, from the artificial intelligence process, an analysis of the prompt, the analysis including one or more of: an identified type of predictive data requested, one or more identified metrics related to the prompt, one or more identified data attributes related to the prompt, a determined granularity of data for a response, one or more filters applied to data related to the prompt, and a determined timeframe of analysis for a response; retrieving data related to the prompt, applying the one or more filters to the data, generating the identified type of predictive data according to the one or more metrics, the one or more data attributes, the granularity of data, and the timeframe of analysis, and presenting the generated predictive data to the user.

Abstract: Systems including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: determining web text sentiment scores for web texts; creating a ranked list of one or more match words; scoring the one or more match words in the ranked list; labeling, using a generative model, the one or more match words to create labeled training data; training, using the labeled training data, a word-based classifier to identify non-conforming web text; receiving first web text for display on the website; using the word-based classifier, as trained, to identify the first web text as non-conforming web text; and automatically not displaying the first web text on the website when at least the classifier score exceeds the predetermined threshold. Other embodiments are described.

Abstract: A label assignment support device according to the present disclosure includes a preliminary label estimation unit that assigns preliminary labels for each of a plurality of elements, a label assignment work screen output unit that generates a label assignment work screen for each of the plurality of elements and an update operation for labels assigned to the plurality of elements by a user, the label assignment work screen indicating each of the plurality of elements and labels assigned to each of the plurality of elements in association with each other, and a label update unit that, when a label assigned to one of the elements is updated by the update operation via the label assignment work screen, assigns the label after update to the one of the elements.

Abstract: A computer system including a server having a processor and a memory, the memory having a video database and a music database, the video database storing at least one video file having a plurality of video file markers, and the music database storing at least one music file having a plurality of music file markers, wherein the server receives and decodes encoded data from computer readable code, identifies and retrieves from the music database a music file based on the decoded data, synchronizes the retrieved music file with one of the video files by aligning the video file markers of the video file with the music file markers for the retrieved music file to produce a synchronized video-music file, and transmits the synchronized video-music file to a display, wherein the video file markers are generated for each video file and the music file markers are generated for each music file.

Abstract: In an example aspect, the present disclosure provides for an example method for processing queries over content rendering activity. The example method includes receiving, by a computing system comprising one or more processors, a first input signal of a first modality, the first input signal being obtained using one or more sensors of a client device and providing local context signals associated with a content rendering event on an output device. The example method includes receiving, by the computing system, a second input signal of a second modality different from the first modality. The example method includes generating, by the computing system and based on the first input signal and the second input signal, a content query. The example method includes retrieving, by the computing system and based on the content query, a content item associated with the content rendering event.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a first natural-language speech input indicative of a request for media, where the first natural-language speech input comprises a first search parameter; providing, by a digital assistant, a first media item identified based on the first search parameter. The method further includes, while providing the first media item, receiving a second natural-language speech input and determining whether the second input corresponds to a user intent of refining the request for media. The method further includes, in accordance with a determination that the second speech input corresponds to a user intent of refining the request for media: identifying, based on the first parameter and the second speech input, a second media item and providing the second media item.

Abstract: A system reorders filters in a set of the filters that may be used to update a list of content. In response to receiving user input selecting a particular filter, the system may filter and/or reorder the content in the list of content and reorder the remaining un-selected filters. Filters that would result in a more even split of the content may be ranked higher than filters that would result in a less even split of that content. A filter that would result in selection of half of the content would be ranked higher than another filter that would result in selection of one-fourth or three-fourth of the content. The system may rank filters based on a user's historical usage. The system may apply a variety of factors to select an order for the filters by, for example, using a weighted average of scores that correspond respectively to the factors.

Abstract: Embodiments are provided for updating a playlist that has been added to a playback queue in response to changes to the playback queue. The playback queue may be associated with a zone of a network media system such that items in the playback queue are to be rendered by the zone. The playlist may include one or more items playable by the zone, and may be stored separately from where the playback queue is maintained. Embodiments are also provided for updating a playback queue in response to modifications to a playlist included in the playback queue.

Abstract: A media identification system is provided. The system comprises an audio input configured to receive an audio signal, and an audio clip extraction module configured to extract an audio clip from the audio signal. The system further comprises an audio clip processing module configured to generate metadata based upon the audio clip, and a first communication interface configured to transmit media identification data corresponding to the audio clip to a media identification server when the metadata based upon the audio clip meets a predetermined requirement, wherein the predetermined requirement comprises the metadata indicating that the audio clip comprises music.

Abstract: A method, computer system, and a computer program product are provided for training a neural network for finding queried videos. Two pairs of video clips and associated text are obtained from a first dataset and a second dataset. The first dataset is used to train two video encoders by providing the video clips to the encoders as input and providing the outputs to a cosine similarity calculator. The second dataset is used to train a multi-mentor paradigm with two mentors. A first mentor and a second mentor are each provided the pair of textual data inputs. The first mentor provides a similarity value comparison, and the second mentor provides a word mover distance. Using the output from the multi-mentor paradigm and the encoders, a contrastive loss is calculated and used to provide contrastive learning of video features by differentiating similarity and dissimilarity of the video clips.

Abstract: Embodiments relate to extracting various portions of log messages. Syntax, order and/or level information that differentiates header and detail message is identified. This syntax, order and/or level information is used to automatically associate enhance each of one or more detail log entries with information that provides context. This approach can facilitate efficient transmission of detail-information log entries that reduces redundant information, while still supporting flexible approaches for providing information that can enhance detail-information log entries.

Abstract: Search indexes can be automatically generated and used for expediting searching of a computerized database. For example, a system can access an inquiry dataset that includes relationships between prior inquiries and returned records from a database. The system can then generate a set of Boolean indexes based on the prior inquiries. The system can then identify frequent indexes that occur at least a threshold number of times in the set of Boolean indexes and that have estimated candidate sizes that are less than a threshold size. The system can then select the frequent index with the highest frequency from among the frequent indexes. The selected frequent index can be subsequently used to expedite searching of the database in response to receiving a search query associated with the frequent index from a client device.

Abstract: Embodiment herein provides a method for classifier based constraint management. The method comprises creating a constraint graph database comprising a plurality of constraint classes associated with a plurality of Application program interfaces (APIs); receiving a request to perform at least one operation associated with at least one entity; determining at least one constraint class from the plurality of constraint classes based on the information about the at least one entity to perform the at least one operation; invoking the at least one API from the plurality of APIs based on the at least one constraint class to access the plurality of constraints associated with the at least one constraint class; and performing the at least one operation associated with the at least one entity based on the plurality of constraints associated with the at least one constraint class and the information about the at least one entity.

Abstract: Various embodiments of the present disclosure provide graph-based techniques for generating granular predictive classifications for entities in a predictive domain. The graph-based techniques include generating a network graph for an entity or entity class based on a plurality of interaction data objects for the entity. The network graph includes a plurality of nodes and a plurality of edges. Each node corresponds to a particular interaction code of at least one of the plurality of interaction data objects. Each edge connects a node pair that is associated with a particular interaction data object. The nodes and edges are weighted to enable the clustering of the network graph for an entity class. An entity network graph may be compared to node clusters of a class network graph to generate a behavior based predictive classification.

Abstract: Systems, methods, devices and storage media for graph data processing are provided. In one aspect, a graph data processing system includes a memory and a plurality of processing units, and each processing unit is provided with a decision module. Each processing unit is configured to determine set operations required for extracting one or more subgraphs matching a specified graph pattern from target graph data according to a preset graph pattern matching algorithm. Then, for each set operation, the decision module is configured to determine a cost value corresponding to a performance of the processing unit occupied to execute the set operation in accordance with different execution policies, and further select a target execution policy with a smallest cost value to execute the set operation.

Abstract: Computer-implemented methods, systems and computer-readable storage medium for graphical tree generation between terminal points are provided which include augmenting one or more subtours. A method includes steps of receiving a terminal data set and generating an initial set of trees based on the terminal data set. Other steps include concatenating the initial set of trees to obtain a culled subset of trees that meet or exceed concatenation criteria, and outputting the culled subset of trees as a graph spanning the terminal points in the terminal data set. The concatenating includes augmenting one or more subtours by adding one or more vertices to strengthen violated inequalities. In one system a graph engine is configured to generate a graph spanning terminal points in the terminal data set based on an augmentation that adds one or more vertices to strengthen one or more violated subtour inequalities (S).

Abstract: Embodiments of the present invention provide a system for intelligent prediction and implementation of dynamically changing requirements relating to incoming network requests. The system is configured for determining that the entity system associated with an entity received a user request from a user, establishing a secure communication link with the entity system, extracting, via a requirement evaluator, through the secure communication link, at least a part of the user request that requires a requirement evaluation, predicting, via a requirement predictor, one or more requirements that are associated with the part of the user request, evaluating the one or more requirements and cataloged requirements stored in a requirement catalog, determining a real-time deviation between the one or more requirements and the cataloged requirements, and providing a solution for the real-time deviation.

Abstract: A method for data processing is described. The method includes receiving an indication of a reference string from a cloud client of a content generation service. The method further includes generating multiple candidate strings associated with the reference string based on using a machine learning model to calculate similarity metrics between the reference string and the multiple candidate strings, where the machine learning model is trained using a dataset of annotated strings. The method further includes selecting a quantity of the candidate strings based on filtering the multiple candidate strings according to the similarity metrics. The method further includes causing the quantity of candidate strings to be displayed at the cloud client. The method further includes receiving feedback associated with the quantity of candidate strings and a selection of at least one candidate string displayed at the cloud client.

Abstract: An exemplary system for constructing data structures that can perform inferential reasoning to answer input queries may receive input data, extract and cluster entities in the input data into topic clusters, and for a first topic cluster construct a data structure comprising a plurality of nodes, wherein nodes of the data structure respectively represent a topic entity extracted from the input data and grouped into the first topic cluster, and wherein a first node of the data structure is associated with a second node of the data structure based on the first node and the second node respectively representing a first topic entity and a second topic entity associated in the input data with a common one of the one or more identified linguistic modalities. An exemplary system comprising the data structure may receive an input query and generate a response to the input query using the data structure.

Abstract: A data gathering and query method for collecting ongoing updates to large, unstructured or semi-structured databases is provided. The method comprises gathering a plurality of events defined in a database syntax that is not structured and aggregating the plurality of events into one or more part files. Each of the one or more part files store a subset of the plurality of events in a columnar format, and each of the one or more part files comprises a header file that includes metadata corresponding to a subset of the plurality of events stored in the part file and is separate from the subset of events stored in the part file. The method further comprises uploading the one or more part files to a cloud storage repository configured to store the one or more part files so that they can be queried by a query server based on the header files.

Abstract: The present disclosure relates to a document comparison system (100) for comparing a first document (D1) with a second document (D2). The first document (D1) includes at least a first section having at least one first section entity (CEn), and the second document (D2) includes at least one second document entity (CEn). The document comparison system includes a processor (110) and a memory device (120). The processor is configured to identify the at least one first section entity (CEn) in the first section of the first document (D1). The processor conducts a search of the second document (D2) to identify the presence or absence of one or more second document entity (CEn) corresponding to or equivalent to each first section entity (CEn) identified in the first section. The present disclosure also relates to a dictionary generating system; a document comparison method; a dictionary populating method; and non-transitory computer-readable medium.

Abstract: The present disclosure provides novel techniques to segment mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a first set of mobile entities and a second set of mobile entities are determined based at least on first and second predefined constraints. A feature set related to a mobile segment is also identified, the feature set including a plurality of features. A plurality of feature gains corresponding, respectively, to the plurality of features are then determined, and a set of mobile entities are add to the mobile segment based at least one the plurality of feature gains, and for each particular feature of the plurality of features, frequency of events associated with each of the set of mobile entities and having the particular feature.

Abstract: Among other things, embodiments of the present disclosure can help improve the functionality of virtual assistant (VA) systems by determining filtering criteria that applies to inputs received by the system, and storing information associated with the inputs (and controlling access to such information by different users of the VA system) in accordance with the filtering criteria.

Abstract: A content output apparatus includes: a content output section configured to output content through an output device located in a mobile body, the content being distributed by a content distribution service; a passenger determination section configured to determine a number of passengers located in the mobile body; and a content change section configured to change the content to be output by the content output section on a basis of whether the number of the passengers determined by the passenger determination section is one, or more than one.

Abstract: Embodiments of the present disclosure provide an object recommending method and apparatus, and an electronic device. The method includes: playing back a target video; and in response to that the target video satisfies a preset condition, displaying the recommendation information of a target object on the basis of a trigger operation for a comment control of the target video, the target object being an object associated with the target video.

Abstract: Methods, systems, and storage media for determining the similarities of post content for mapping into a hyperspace. In an exemplary method, the disclosure comprises receiving a query at the processor. The method includes determining post data associated with the query. The post data comprises a plurality of posts provided to a social media platform by various users of the platform. The method includes determining, by the processor, a relationship between at least two posts of the plurality of posts. The method includes training, by the processor, a machine language model. The machine language model is based on the query and the relationship between the at least two posts. The method also generates a hyperspace based on the relationship between the at least two posts and the query.

Abstract: Systems and methods for analyzing collaborative comments on content to create and/or modify content are disclosed herein. Each of the plurality of comments include modifying the content. Each of the plurality of comments are is analyzed to identify an action associated with each of the plurality of comments, location of the action in the content, and an owner associated with the action. Furthermore, a marker associated with the action at the identified location in the content is added.

Abstract: Disclosed herein are systems and methods for screening names for identity matching. The aforementioned systems are (i) a system (100) for screening and matching names, (ii) a system (300) for screening and matching names using high recall—high search filter is provided, (iii) a system (210) for training a model, (iv) a system 230 of parallel model trainer, (v) a method (400) that depicts working of the system (100), (vi) a method 404 that depicts working of pre-processing an input data.

Abstract: Embodiments relate to graph-based design mapping and function route generation. A computer-implemented method includes analyzing first user interfaces and second user interfaces to identify features of each user interface, where the second user interfaces include at least one change to the first user interfaces. A first graph representing the features of the first user interfaces and a second graph representing the features of the second user interfaces are generated. A function mapping is determined based on a similarity calculation between the first graph and the second graph. A node that satisfies an influence threshold is recommended to do limited manual labeling. The function mapping is updated based on the labeling. A visualization of the function mapping is created between the first user interfaces and the second user interfaces. Function route generation can be performed.

Abstract: Methods, systems and software include programmatically downloading over the Internet, at routine intervals of time as well as on demand, from an online computer system of the USPTO, data relating to patent properties that are associated with a customer number; and creating a docket based on the downloaded data, generating and displaying a report generated from the downloaded data, sending an alert (email or text message) that is based on the downloaded data, or any combination thereof. Outgoing correspondence of the USPTO is provided in PDF format for review by a user. Data specific to a particular client also is provided to the client programmatically, with reports, alerts, docketing, or any combination thereof, further being provided for use by the client.

Abstract: A server receives a first hypertext transfer protocol (HTTP) from a client device requesting for content associated with a webpage. The server retrieves a plurality of cache keys associated with respective sets of application metadata identified in the first HTTP request from an application metadata database and transmits the cache keys to the client device. The server receives a second HTTP request from the client device identifying one or more cache keys that are not stored in a local HTTP cache of the client device. The server device retrieves the sets of application metadata corresponding to the missing cache keys from the application metadata database and transmits the application metadata to the client device.

Abstract: Systems and methods are described for monitoring and managing an online experience. An example method includes: obtaining user data describing interactions between a plurality of users and plurality of online services; determining, based on the user data, a rate of change in usage of the online services for each user in the plurality of users; assigning a portion of the users to a user segment based on the user data and the determined rate of change in usage; and based on the assignment, providing each user in the user segment with a customized experience in one or more of the online services.

Abstract: The present disclosure relates to a computing device, and related products. The product includes a control unit. The control unit includes an instruction caching unit, an instruction processing unit and a storage queue unit. The instruction caching unit is used for storing a calculation instruction associated with an artificial neural network operation; the instruction processing unit is used for analyzing the calculation instruction to obtain a plurality of operation instructions; and the storage queue unit is used for storing an instruction queue, where the instruction queue includes a plurality of operation instructions or calculation instructions to be executed in the order of the queue. By using the computing device and related products, the present disclosure may improve the operation efficiency of the related products when performing neural network model operations.

Abstract: Systems, methods, and apparatus related to memory devices that perform signed multiplication using sets each containing two memory cells. In one approach, sets organized as pairs of memory cells in a memory cell array are programmed so that each set stores a signed weight. Voltages are applied to the sets of memory cells at first and second times. The voltages represent signed inputs to be multiplied by the signed weights. Output currents from the memory cells in each set are accumulated at the first and second times in a respective common line for each set. A signed result for each set is provided based on digitizing sums of the output currents accumulated at the first and second times.

Abstract: Methods, systems, and apparatus for a matrix multiply unit implemented as a systolic array of cells are disclosed. Each cell of the matrix multiply includes: a weight matrix register configured to receive a weight input from either a transposed or a non-transposed weight shift register; a transposed weight shift register configured to receive a weight input from a horizontal direction to be stored in the weight matrix register; a non-transposed weight shift register configured to receive a weight input from a vertical direction to be stored in the weight matrix register; and a multiply unit that is coupled to the weight matrix register and configured to multiply the weight input of the weight matrix register with a vector data input in order to obtain a multiplication result.

Abstract: The present disclosure provides solutions for generating synthetic three-dimensional (3D) objects for testing autonomous vehicle (AV) object detectors, such as AV Light Detection and Ranging (LiDAR) detectors. A process of the disclosed technology can include steps for receiving a first set of object shape data corresponding to a baseline object, permuting the first set of object shape data to generate a second set of object shape data, and providing the second set of object shape data to a differentiable pipeline to generate an output scene, wherein the output scene contains an optimized object that is based on the second set of object shape data. The process can further include steps for determining, using a detector, if the optimized object can be identified in the output scene. Systems and machine-readable media are also provided.

Abstract: The present disclosure relates to computer-implemented systems and methods for training and using generative adversarial networks. In one implementation, a system for training a generative adversarial network may include at least one processor that may provide a first plurality of images including representations of a feature-of-interest and indicators of locations of the feature-of-interest and use the first plurality and indicators to train an object detection network. Further, the processor(s) may provide a second plurality of images including representation of the feature-of-interest, and apply the trained object detection network to the second plurality to produce a plurality of detections of the feature-of-interest.

Abstract: A method for maintaining ownership integrity of templated executable graph-based models is provided. A node template that comprises a predetermined node structure and rules governing generation of node instances is obtained. A bounded executable run-time node is generated. The bounded executable run-time node comprises the node template, a node instance, and an overlay structure. The overlay structure comprises a run-time overlay and an ownership overlay. The run-time overlay comprises an overlay template and an overlay instance that includes processing logic for interaction with the node template and/or the node instance during execution. The overlay ownership overlay defines an ownership rule associated with the bounded executable run-time node. A stimulus and an associated context are received and, in response to the stimulus being received, execution of the processing logic of the run-time overlay is caused in accordance with the ownership rule of the ownership overlay.

Abstract: The disclosure is about hierarchically managing collaborative products in collaboration with a plurality of source owners respectively owning a plurality of source products. Transaction information is generated in association with collaborative product between source owners and a collaborative user. Sets of right information of inferior collaborative product are created based on right information of source products and transaction information. Right information reflects a right relationship between collaborative user and corresponding source owner.

Abstract: A control unit of an information processing apparatus acquires product information of each of one or more inclusion products included in a target product based on association information indicating an association relationship of products of companies included in a supply chain. The product information includes traceability-related information of the at one or more inclusion products. The traceability-related information is encrypted with a public key of a certificate authority. The control unit acquires an encrypted integrated result of the traceability-related information by computing the encrypted traceability-related information through secure computation. The control unit decodes the encrypted integrated result of the traceability-related information through the certificate authority.

Abstract: A method in a server includes: receiving, from a client computing device associated with an account identifier, an account deletion request corresponding to the account identifier; retrieving, from a repository, an identifier of a printer associated with the account identifier; transmitting a decommissioning command to the printer, the decommissioning command configuring the printer to delete data associated with the account identifier from a local storage of the printer, and deleting, from the repository, the account identifier and account data associated with the account identifier.

Abstract: A mandate processing device includes: a mandator setting unit, a mandate content setting unit, and a mandatary setting unit, which serve as a first presentation unit that, when a mandate is to be issued from a mandator to a mandatary, presents, as first input candidates, mandate information candidates, which can be determined based on user information of the mandator and the mandatary; a mandate condition setting unit serving as a second presentation unit that presents, as second input candidates, mandate condition candidates, which are the mandate information candidates other than the first input candidates and which are candidates for a mandate condition defined by the mandator as a condition for the mandatary; and a mandate information registration unit that registers mandate information which is information selected from the first input candidates and the second input candidates and for performing the mandate.

Abstract: Devices, non-transitory computer-readable media, and systems. In one example, a computing device may include a memory and an electronic processor configured to: receive information of a user of the computing device, perform authentication of the user based on the information of the user, determine a list of behavioral experiments that can be performed by the user based on the authentication of the user and the information of the user, the list of behavioral experiments including one or more behavioral experiments, display the list of behavioral experiments, receive a selection of a behavioral experiment in the list of behavioral experiments from the user, initiate the behavioral experiment based on the selection, and in response to the user completing the behavioral experiment, upload experiment data to a server.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for performing signature authentication. An example method includes: obtaining a sample signature of an individual; generating a predetermined number of variant signatures using the sample signature; causing the predetermined number of variant signatures to be presented to the individual; receiving a selection from the individual where the selection includes one or more of the predetermined number of variant signatures presented to the individual; receiving a request from the individual where the request includes a request-authentication-use signature; authenticating the individual by comparing the request-authentication-use signature to the selection; and permitting or rejecting the request based on a result of the authenticating.

Abstract: A biometric authentication system implementing a registration phase comprising: assigning a registered biometric device's identification information to a registered user; and storing, on a remote computer system, initial biometric data captured by the registered device, wherein the initial biometric data is stored on the registered device and on the remote system; and an access granting phase comprising receiving biometric device identification information from the registered device; determining that the received biometric device identification information matches the registered device's identification information assigned to the registered user; in response to determining that the received device identification information matches the registered device's identification information assigned to the registered user, instructing the registered device to re-capture the registered user's biometric data; comparing the re-captured biometric data of the registered user to the initial biometric data stored on the regi