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公开(公告)号：US20240281599A1
公开(公告)日：2024-08-22
申请号：US18649444
申请日：2024-04-29
IPC分类号： G06F40/177 , G06F40/103
CPC分类号： G06F40/177 , G06F40/103
摘要： The disclosure relates to user interfaces that reconcile non-linear data and a table format to display the non-linear data across various screen sizes without loss of information. A system may access non-linear data such as a hierarchical data structure. The system may access a plurality of data elements that represent the non-linear data for rendering in a display container, which has a display height that varies depending on the screen size of a given display device. The system may obtain the available display height and determine a number of columns to render based on the display height and the plurality of data elements. The system may fill the columns with the plurality of data elements using a columnar format that maintains contiguity of groups of data elements that span more than one column. The system may configure a patch to visually indicate the contiguity.
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公开(公告)号：US20240273353A1
公开(公告)日：2024-08-15
申请号：US18166696
申请日：2023-02-09
发明人： Philipp RIEDER
IPC分类号： G06N3/08
CPC分类号： G06N3/08
摘要： The disclosure relates to systems and methods of determining gradient-based directional drivers of deep learning models. A system may access a plurality of features and a group definition that specifies one or more groups of features. The system may provide the plurality of features as input to a deep learning model trained to generate a model output based on a model function and the plurality of features. The system may obtain, for each feature, a gradient that represents a rate of change of the model function based on the feature and then aggregate, based on the group definition, the gradients obtained from the deep learning model; and for each group of features from among the one or more groups of features: determine a directional driver based on the aggregated gradients, the directional driver indicating an impact of the group of features on the model output.
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公开(公告)号：US12050934B2
公开(公告)日：2024-07-30
申请号：US17887113
申请日：2022-08-12
发明人： Brian Blank
IPC分类号： G06F9/50
CPC分类号： G06F9/5027
摘要： A method for real-time data processing is described. The method being implemented on a computer system having one or more physical processors programmed with computer program instructions which, when executed, perform the method. The method comprising allocating a real-time dataset associated with a real-time data interaction to a node in a chain of nodes, wherein each node is representative of a user in the real-time data interaction; setting a node status of the node for the real-time dataset to pending; and independently of (i) a node status of the one or more upstream nodes and (ii) a node status of the one or more downstream nodes: periodically determining, by the computer system, an availability status of the node; and in response to the availability status satisfying the criterion, setting the node status for the real-time dataset as settled.
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公开(公告)号：US20240071117A1
公开(公告)日：2024-02-29
申请号：US17894011
申请日：2022-08-23
发明人： Ibrahim GHALYAN , Binlin CHI
IPC分类号： G06V30/32 , G06N3/04 , G06V30/182
CPC分类号： G06V30/32 , G06N3/0472 , G06V30/1823
摘要： The systems and methods relate to electronic signature verification based on topological stochastic models (TSM). The TSM may be trained on samples of known authentic signatures of a signee. Training the TSM may include TSM features extraction on the training samples to extract feature vectors, TSM features aggregation to aggregate the feature vectors, and optimal threshold estimation to determine an optimal threshold value. The optimal threshold value and overall aggregate of feature vectors may be used to evaluate feature vectors extracted from a signature to be verified. For example, a distance between the resulting feature vector extracted from the input sequence and the aggregated feature vector is determined. The distance is compared to the optimal threshold value to determine whether the signature in the input image is verified. The signature in the input image is verified if the distance is less than or equal to the optimal threshold value.
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公开(公告)号：US11893040B2
公开(公告)日：2024-02-06
申请号：US17826688
申请日：2022-05-27
发明人： Brian Blank
CPC分类号： G06F16/273 , G06F16/2365
摘要： In certain embodiments, multi-modal-based generation of settlement instructions may be facilitated. In some embodiments, a portfolio of a live environment may be emulated in a projected environment. A target portfolio may be generated in the projected environment based on the emulated portfolio. Partial synchronization between the target portfolio of the projected environment and the portfolio of the live environment may be performed such that a first subset of changes to the portfolio of the live environment are reflected in the target portfolio of the projected environment. Subsequent to the partial synchronization, the target portfolio of the projected environment may be updated such that the update of the target portfolio accounts for the first subset of changes. Subsequent to the update of the target portfolio, settlement instructions may be generated based on differences between the target portfolio of the projected environment and the portfolio of the live environment.
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公开(公告)号：US20240036963A1
公开(公告)日：2024-02-01
申请号：US17878272
申请日：2022-08-01
CPC分类号： G06F11/079 , G06N20/00 , G06F11/0709
摘要： The disclosure relates to systems and methods of detecting anomalies using a plurality of machine learning models. Each of the machine learning models may be trained to detect a respective behavior of historical data values for a given metric. Thus, a system may perform anomaly detection based on different behaviors of the same metric of data, reducing instances of false positive anomaly detection while also reducing instances of false negative reporting. The plurality of machine learning models may be trained to detect anomalies across multiple different types of metrics as well, providing robust multi-metric anomaly detection across a range of behaviors of historical data values. The system may implement a pluggable architecture for the plurality of machine learning models in which models may be added or removed from pluggable architecture. In this way, the system may detect anomalies using a configurable set of machine learning models.
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公开(公告)号：US11855997B1
公开(公告)日：2023-12-26
申请号：US18174234
申请日：2023-02-24
发明人： Christian Constantin Adam , Mohamad Salman , Jassem Shakil , Christopher Runte , David Jeffrey Lunglhofer
CPC分类号： H04L63/102 , H04L63/108 , H04L63/20
摘要： Provided is a system and method for enabling of access to a computer resource by a computer system comprising: providing to a user an interface configured to receive a request for access to a computer resource; determining if the user is permitted to access the computer resource based on a user profile; providing a user verification interface configured to receive user identity verification information; determining if the user identity verification information is valid in response to a reply to the request for user identify verification information; and in response to determining that the user is permitted access to the computer resource and that the user verification information is valid: updating a security policy to reflect that the user is permitted to access the computer resource, and providing access to the computer resource for a limited time duration.
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公开(公告)号：US20230360124A1
公开(公告)日：2023-11-09
申请号：US17884165
申请日：2022-08-09
发明人： Abhinav PRASAD , Beibei LIU , Romil RATHI , Richard MARQUIS , Rajeev SAMBYAL
CPC分类号： G06Q40/04 , G06Q30/0206
摘要： The disclosure relates to systems and methods of generating a mixture model for approximating non-normal distributions of time series data. The mixture model may include clusters of normal distributions that together approximate a non-normal distribution. The mixture model may be used to normalize input data for machine learning models. For example, a machine learning model such as an autoencoder may be trained to make predictions on the normalized input data. The predictions may relate to the time series of data. In one example, the time series of data may be market data for a security. The market data my include one or more features that are normalized using the mixture model. The predictions may include a predicted rate at which a lender will charge to borrow a security for short selling, where such rate may depend on the market data for the security.
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9.发明公开公开(公告)号：US20230350662A1
公开(公告)日：2023-11-02
申请号：US17979353
申请日：2022-11-02
CPC分类号： G06F8/65 , G06F11/3495
摘要： Provided are systems, methods, and programming for facilitating real-time determination of a process completion likelihood. In some embodiments, data including an update to a system, the update occurring at a first time, wherein updates to the system are permitted until an expiration time may be obtained, a set of fixed descriptors of the system may be retrieved and/or received, and a set of status updates describing the system at prior times may be obtained. Each status update of the set of one or more status updates includes at least (i) an update to the first system and (ii) a time that the respective status update occurred. Based on the data, the fixed descriptors, and the status updates, using a trained machine learning model, a failure/success score indicating a likelihood that, at the expiration time, the system satisfies a threshold condition may be computed and stored in memory.
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10.发明公开公开(公告)号：US20230325506A1
公开(公告)日：2023-10-12
申请号：US18336396
申请日：2023-06-16
发明人： Uddipt MITTER
IPC分类号： G06F21/57
CPC分类号： G06F21/57 , G06F2221/034 , G06F2221/2101
摘要： Methods and systems for scheduling execution of an automated controls assessment include receiving a user input to generate an automated controls assessment audit; receiving an area of audit for the audit; receiving a category of the audit; receiving scheduling data for executing the audit; determining whether the scheduling data is met; responsive to determining that the scheduling data is met, transmitting, to an API-based agent, an instruction to execute the audit; receiving, from the API-based agent, a response to the audit; processing, using a library of reusable features for controls assessment audits for a plurality of computer domains, the response to generate a result of the audit; and generating, for display, on a display device, an instance of a first user interface, wherein the instance of the first user interface comprises the result of the automated controls assessment audit.
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