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公开(公告)号：US20240362265A1
公开(公告)日：2024-10-31
申请号：US18140812
申请日：2023-04-28
发明人： Yuan HE , Anupam Anurag TRIPATHI , Anwitha PARUCHURI , Sukryool KANG , Andrew Francis HICKL , Sujeong CHA , Surya Raghavendra VADLAMANI , Peter Royer SMITH, JR.
IPC分类号： G06F16/535 , G06F16/538 , G06F16/56 , G06N3/08
CPC分类号： G06F16/535 , G06F16/538 , G06F16/56 , G06N3/08
摘要： Methods, systems, and apparatus are provided for generating an image. A personalized text prompt is generated by processing an input embedding using a transformer model followed by a first fully connected neural network. The input embedding comprises a multi-dimensional embedding vector associated with a user profile and a plurality of user items. A scored label set is generated identifying a user's preferences by processing a set of attributes for the plurality of user items using a second fully connected neural network. The image is generated by processing the personalized text prompt and the scored label set using a diffusion model.
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公开(公告)号：US12124805B2
公开(公告)日：2024-10-22
申请号：US16908051
申请日：2020-06-22
发明人： Sureshkumar Pargunarajan , Haripriya Srinivasan , Tharani Dhanasekaran , Arunselvan Sivamani , Aravind Raja M Balasubramanian , Arun Sundararaman , Uday Kumar Ramamoorthy
CPC分类号： G06F40/30 , G06F16/258
摘要： A device may receive a data input that is associated with an event. The device may parse the data input to identify an input value that is associated with the event. The device may determine a probability that the input value corresponds to a feature of the event based on a configuration of the input value. The device may classify the input value as being associated with an element of the event based on the probability. The device may determine a rule profile of the input value based on the feature and the element. The device may determine a profile score associated with the data input based on the rule profile. The device may ingest, based on the profile score, the data input into a data structure. The device may determine a validation score based on a random factorization analysis of the rule profile and the input value.
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3.发明公开公开(公告)号：US20240346037A1
公开(公告)日：2024-10-17
申请号：US18133569
申请日：2023-04-12
发明人： Akshay Arora , Krishna Mohan Roy , Joydeep Dam , Jayant Pimpalkar
CPC分类号： G06F16/26 , G08B29/185
摘要： A computer-implemented method, system, and non-transitory, computer-readable medium that performs operations including obtaining alerts representing signals in a computing system and corresponding feedback indicators, indicating an association of the alert for the represented signal. The computing system can connect to a computing platform that includes a data mining engine. The operations include identifying a first subset of negative alerts, determining a first set of alert attributes, determining a type of model to analyze the alert attributes for signals represented by the alerts and analyzing, by the model, the first set of alert attributes to identify a subset of alert attributes with likelihoods representing alert attributes that caused the negative association of the alert. The operations include filtering the alerts to exclude a second subset of the alerts based on the likelihood of negative association, and providing for output, a set of alerts that exclude the second subset of the alerts.
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公开(公告)号：US12101279B2
公开(公告)日：2024-09-24
申请号：US17459888
申请日：2021-08-27
发明人： Shubhashis Sengupta , Anutosh Maitra , Roshni Ramesh Ramnani , Sriparna Saha , Abhisek Tiwari , Pushpak Bhattacharyya
IPC分类号： H04L51/02 , G06F40/279 , G06F40/35 , G06N20/00
CPC分类号： H04L51/02 , G06F40/279 , G06F40/35 , G06N20/00
摘要： Systems and methods that offer significant improvements to current virtual agent (VA) conversational experiences are disclosed. The proposed systems and methods are configured to manage conversations in real-time with human customers while accommodating a dynamic goal. The VA includes a goal-driven module with a reinforcement learning-based dialogue manager. The VA is an interactive tool that utilizes both task-specific rewards and sentiment-based rewards to respond to a dynamic goal. The VA is capable of handling dynamic goals with a significantly high success rate. As the system is trained primarily with a user simulator, it can be readily extended for applications across other domains.
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公开(公告)号：US12099817B2
公开(公告)日：2024-09-24
申请号：US17586753
申请日：2022-01-27
IPC分类号： G06F40/284 , G06F8/10 , G06F18/21 , G06F18/214 , G06N3/08 , G06N20/10
CPC分类号： G06F8/10 , G06F18/214 , G06F18/217 , G06F40/284 , G06N20/10
摘要： Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automatic compliance validation using a dynamically generated set of validation code. The compliance validation process may begin by extracting requirements from a compliance specification. Once extracted, the requirements may be tokenized and vectorized to produce vectorized data. The vectorized data may be labeled using a multi-label classifier to produce a set of labeled data (e.g., labeled vectors representing the requirements extracted from the compliance specification). The set of labeled data may be fed to a machine learning model configured to map the labeled data to pieces of code stored in one or more code libraries. A set of validation code is generated based on the pieces of code mapped to the labeled data and the set of validation code may be applied to a deliverable to evaluate compliance of the deliverable with the requirements.
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公开(公告)号：US12087407B2
公开(公告)日：2024-09-10
申请号：US16811844
申请日：2020-03-06
IPC分类号： G16C20/10 , G06F3/0482 , G06F18/2113 , G06N3/08 , G06N5/01 , G06N20/00 , G16C20/70 , G16C20/80
CPC分类号： G16C20/10 , G06F3/0482 , G06F18/2113 , G06N3/08 , G06N5/01 , G06N20/00 , G16C20/70 , G16C20/80
摘要： A chemical product formulation system automatically generates seed formulae from historic experiments data for the synthesis of a chemical product. Independent and dependent features are identified from the historic experiments data and feature importance scores are calculated using a supervised machine learning (ML) model. The feature importance scores are used to build data structures from which analytical rules are extracted. The analytical rules are further processed to derive the seed formulae which are user-editable. The intermediate formulae generated via user edits of the seed formulae are further validated and approved in order to be used as the final formulae which are employed for the synthesis of the chemical product.
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7.发明公开公开(公告)号：US20240290496A1
公开(公告)日：2024-08-29
申请号：US18175653
申请日：2023-02-28
发明人： Ramandeep Kaur , Gagandeep Singh
摘要： Systems and methods for predicting a person's likelihood of a situational mental health condition (such as post-partum depression (PPD)) diagnosis using machine learning models are described. In one example, a mental health risk assessment system receives data at recurring intervals for a person during their pregnancy and in the year after their pregnancy. Based on both the recurring data for the person as well as the specific time period at which the data is obtained, a machine learning model can generate highly accurate mental health predictions. The mental health risk assessment system can further implement a software application that manages the flow of information from patients as well as presentation of information to the patients. Furthermore, the application can present targeted information for a patient to the patient's doctor or other medical personnel/facility.
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公开(公告)号：US20240281671A1
公开(公告)日：2024-08-22
申请号：US18112481
申请日：2023-02-21
IPC分类号： G06N5/022
CPC分类号： G06N5/022
摘要： Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support ontology driven processes to generate and/or update digital twins using a partially automated process. To generate the digital twin, an ontology may be obtained and used to generate a hierarchy model, from which a knowledge graph is generated and represents a digital twin. Similarity measurements may be performed on the knowledge graph, such as components thereof, to determine a similarity between the components. Components are ranked and clustered to identify clusters of similar components and new relationships between components. This new information may be used to update the knowledge model and/or knowledge graph. Updating the knowledge graph or model may enable generation of an updated digital twin and enable continued updating of additional different data structures for other similar elements.
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公开(公告)号：US12045373B2
公开(公告)日：2024-07-23
申请号：US17555224
申请日：2021-12-17
IPC分类号： G06F21/62 , G06F40/166 , G06F40/263 , G06F40/295
CPC分类号： G06F21/6254 , G06F40/166 , G06F40/263 , G06F40/295
摘要： In some examples, machine learning and rule-based identification, anonymization, and de-anonymization of sensitive structured and unstructured data may include receiving input data that is to be masked, and determining, for the input data, at least one type '1 of entity extraction from a plurality of types of entity extractions to be performed on the input data. The at least one determined type of entity extraction may be performed on the input data, and at least one entity may be extracted from the input data. At least one replacement strategy may be determined from a plurality of replacement strategies for the at least one extracted entity. Further, the at least one determined replacement strategy may be applied to the at least one extracted entity to generate masked data.
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公开(公告)号：US20240233440A1
公开(公告)日：2024-07-11
申请号：US18153166
申请日：2023-01-11
发明人： David Nguyen , Hailing Zhou , Nan Ke
摘要： Implementations include actions of receiving an image, providing a set of features for the image, determining a set of HOIs including one or more HOIs that are potentially represented in the image, providing sets of feature scores by, for each HOI in the set of HOIs, determining, by a first ML model, a set of feature scores for respective features in the set of features, generating, by a second ML model, sets of weights based on the set of HOIs, providing a set of final scores by, for each HOI in the set of HOIs, determining a final score based on a respective set of weights and the set of feature scores, each final score corresponding to a respective HOI in the set of HOIs, and selecting an output HOI for the image from the set of HOIs based on the set of final scores.
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