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公开(公告)号：US12236559B2
公开(公告)日：2025-02-25
申请号：US18508762
申请日：2023-11-14
Applicant: INTUIT INC.
Inventor： Jiaxin Zhang , Kamalika Das , Sricharan Kallur Palli Kumar
Abstract: Augmented Denoising Diffusion Implicit Models (“DDIMs”) using a latent trajectory optimization process can be used for image generation and manipulation using text input and one or more source images to create an output image. Noise bias and textual bias inherent in the model representing the image and text input is corrected by correcting trajectories previously determined by the model at each step of a diffusion inversion process by iterating multiple starts the trajectories to find determine augmented trajectories that minimizes loss at each step. The trajectories can be used to determine an augmented noise vector, enabling use of an augmented DDIM and resulting in more accurate, stable, and responsive text-based image manipulation.
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公开(公告)号：USD1061559S1
公开(公告)日：2025-02-11
申请号：US29874759
申请日：2023-04-24
Applicant: Intuit Inc.
Designer： Brittany Sumarsono , Xueyin Liu , James A. Buffington , Shekinah Cravens
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公开(公告)号：US12217287B2
公开(公告)日：2025-02-04
申请号：US18129823
申请日：2023-03-31
Applicant: Intuit Inc.
Inventor： Ivan Shevchenko , Tatiana Sukhova
IPC: G06Q30/0241 , G06F40/106 , G06F40/186
Abstract: A method implements brand engine for extracting and presenting brand data with user interfaces. The method includes receiving a blueprint with a set of structure blocks extracted from a selected content. A structure block of the set of structure blocks includes a set of style parameter requests for a section of the selected content. The method further includes processing the set of structure blocks with a first set of smart blocks to generate a set of scores. A smart block of the first set of smart blocks includes brand data with style parameter selections. The method further includes selecting a second set of smart blocks, for the set of structure blocks, from the first set of smart blocks, using the set of scores. The method further includes presenting the second set of smart blocks with the brand data.
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公开(公告)号：US12212671B2
公开(公告)日：2025-01-28
申请号：US18485165
申请日：2023-10-11
Applicant: INTUIT INC.
Inventor： Margarita Vald , Julia Zarubinsky , Yaron Sheffer , Sergey Banshats
IPC: H04L9/08
Abstract: Systems and methods that may be used to provide policies and protocols for blocking decryption capabilities in symmetric key encryption using a unique protocol in which key derivation may include injecting a random string into each key derivation. For example, a policy may be assigned to each client device indicating whether the client device has been assigned encryption only permission or full access permission to both encrypt and decrypt data. The disclosed protocol prevents client devices with encryption only permission from obtaining keys for decryption.
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公开(公告)号：US12210828B2
公开(公告)日：2025-01-28
申请号：US18630990
申请日：2024-04-09
Applicant: INTUIT INC.
Inventor： Dominic Miguel Rossi , Hui Fang Lee , Tharathorn Rimchala
IPC: G06F40/284 , G06N3/045 , G06N3/08
Abstract: A computing system generates a plurality of training data sets for generating the NLP model. The computing system trains a teacher network to extract and classify tokens from a document. The training includes a pre-training stage where the teacher network is trained to classify generic data in the plurality of training data sets and a fine-tuning stage where the teacher network is trained to classify targeted data in the plurality of training data sets. The computing system trains a student network to extract and classify tokens from a document by distilling knowledge learned by the teacher network during the fine-tuning stage from the teacher network to the student network. The computing system outputs the NLP model based on the training. The computing system causes the NLP model to be deployed in a remote computing environment.
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Patent Agency Ranking
公开(公告)号：US12205154B2
公开(公告)日：2025-01-21
申请号：US17398729
申请日：2021-08-10
Applicant: INTUIT INC.
Inventor： Naveen Kumar Kaveti , Vignesh Thirukazhukundram Subrahmaniam , Abhishek Chauhan , Polavarapu Viswa Datha
IPC: G06Q30/04
Abstract: Aspects of the present disclosure relate to real-time invoice error prevention. Embodiments include receiving a value related to an item or service during creation of an invoice by a user via a user interface, and determining a user-level mean and a user-level standard deviation related to the value based on historical invoices of the user. Embodiments include determining a global mean and a global standard deviation related to the value based on historical invoices of a plurality of users. Embodiments include selecting weights for the user-level mean, the user-level standard deviation, the global mean, and the global standard deviation based on a total number of the historical invoices of the user. Embodiments include determining an expected range for the value based on the user-level mean, the user-level standard deviation, the global mean, the global standard deviation, and the weights. Embodiments include determining that the value is outside the expected range.
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公开(公告)号：US20250021844A1
公开(公告)日：2025-01-16
申请号：US18222353
申请日：2023-07-14
Applicant: Intuit, Inc.
Inventor： Omer ZALMANSON , Yair HORESH , Lior TABORI
Abstract: Certain aspects of the disclosure provide a method for training a machine learning model to predict text containing sensitive information. The method includes extracting one or more features from a historical data set. The method further includes anonymizing the historical data set, including determining, for each feature of the extracted one or more features, tokens containing personally identifiable information (sensitive information); assigning a category placeholder to each of the tokens containing sensitive information; and generating a new data set where each token containing sensitive information is replaced with the assigned category placeholder. The method further includes determining a probability associated with each token containing sensitive information; and training a generalized model to predict anonymized text given the one or more features.
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公开(公告)号：US20250013914A1
公开(公告)日：2025-01-09
申请号：US18348052
申请日：2023-07-06
Applicant: Intuit Inc.
Inventor： Shankar Sankararaman
IPC: G06N20/00
Abstract: A processor may receive user information for a request payload from an external device and data describing a plurality of user interface (UI) elements configured to be presented in a UI of the external device. The processor may select a machine learning (ML) model from a plurality of ML models using a contextual bandit ML model that is trained based on the user information. The processor determines at least one recommended user interface (UI) element with a selected ML model, based on the user information and the data describing the plurality of UI elements. The at least one recommended UI element may be presented in the UI of the external device. The processor may receive event data indicating a user interaction with the at least one recommended UI element in the UI of the external device. The contextual bandit ML model may be re-trained based on the event data.
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公开(公告)号：US20250004852A1
公开(公告)日：2025-01-02
申请号：US18610793
申请日：2024-03-20
Applicant: Intuit, Inc.
Inventor： Akshay RAVINDRAN
IPC: G06F9/50
Abstract: Certain aspects of the disclosure provide systems and methods for receiving a request to process a workload on a remote processing system; determining one or more workload requirements associated with processing the workload; and processing the one or more workload requirements with a contextual bandit machine learning model to generate a processing configuration for the remote processing system. The remote processing system provisions resources based on the processing configuration and processes the workload.
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