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公开(公告)号：US12229534B2
公开(公告)日：2025-02-18
申请号：US18098402
申请日：2023-01-18
Inventor： Chang-Sik Cho , Jae-Bok Park , Kyung-Hee Lee , Ji-Young Kwak , Seon-Tae Kim , Ik-Soo Shin
Abstract: Disclosed herein are an apparatus and method for developing a neural network application. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program receives a target specification and an application specification including user requirements, searches for a neural network model corresponding to the target specification and the application specification in a database, builds an inference engine for performing a neural network operation used by the neural network model, and generates a target image for executing the neural network model to be suitable for a target device using the inference engine.
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公开(公告)号：US12223442B2
公开(公告)日：2025-02-11
申请号：US18070338
申请日：2022-11-28
Applicant: Google LLC
Inventor： Thomas Fischbacher
IPC: G06N5/045 , G06F8/10 , G06F8/41 , G06F16/901
Abstract: A first context update indicative of a present state associated with an application is received. A first contextual situation, among a plurality of contextual situations associated with a plurality of conditions, that corresponds to the first context update is identified. Identifying the first contextual situation includes implementing a decision tree to minimize a number of the plurality of conditions to be evaluated, identifying the first contextual situation using the decision tree, and determining one or more actions to be performed corresponding with the first contextual situation.
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公开(公告)号：US12217030B2
公开(公告)日：2025-02-04
申请号：US17847972
申请日：2022-06-23
Applicant: Microsoft Technology Licensing, LLC
Inventor： José Luis Fernández Gorroño , Lan Li , Cédric Thierry Michel Bignon , Nicolas Chao Wei Ding , Cédric Bernard Jean Golmard , Anand Mourouguessin , Jaime Enrique Reyes Salazar , Shuktika Jain , Dimitrios Leventis , Yu Hu , Haoran Wei
Abstract: Methods for generating automations via natural language processing are performed by computing systems. Natural language input is received from a user interface, and an automation workflow is generated based on the natural language input. The automation workflow includes steps to build an automation. One or more of the steps is provided to the user interface, and a first field and a second field that each correspond to the one or more steps are populated in the user interface. The first field is populated with a parameter value based on the natural language input, and the second field is populated based on the parameter value. The automation is then enabled to be built and deployed.
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公开(公告)号：US12204875B2
公开(公告)日：2025-01-21
申请号：US18141533
申请日：2023-05-01
Applicant: Salesforce, Inc.
Inventor： Billy Ma , Brian Truong
Abstract: Methods, computer readable media, and devices for rapid prototyping of both user experience and technical features in a combined approach. One method may include creating a set of known user experience (UX) components including a user interface element representing at least one of a data element and a data interaction, creating a UX screen including a set of UX elements within a UX prototyping tool, translating the UX screen into a set of standardized UX components, publishing the set of standardized UX components by mapping the set of standardized UX components to synthetic data, and validating a technical aspect of the published set of standardized UX components based on user interaction with the published set of standardized UX components.
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公开(公告)号：US12197893B2
公开(公告)日：2025-01-14
申请号：US18108649
申请日：2023-02-12
Applicant: Jin Ming Wen
Inventor： Jin Ming Wen
Abstract: The present invention is based on the data value and data timing attributes realizations and provides an explicitly defined definite or fixed method for constructing a computing system software consisting of (1). A definite system development method; (2). A definite safety relevant system development method in the furthermore manner; (3) the specific and definite criteria to measure the software and the safety. Said method is based on the exclusive disclosure that is: computing system functionalities can be fully represented by the data comprising Input Data, Middle Data and Output Data, in which the Output Data represent fully the system functionalities under the input data from the system black-box point of view, the Middle Data represent fully the middle functionalities that are transporting and transforming the Input Data to the Output Data. In the system, each data has two and only two systematic attributes: data value and data timing attributes. So, the software development goal is to derive the two systematic attributes for each required output data correctly, and the safety development goal is to make sure that the two attributes of each output data are derived correctly and reliably. And such developments will be complete, consistent, accurate and efficient because all required information and development activities are covered, and any other information and other activities are not included.
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Patent Agency Ranking
公开(公告)号：US20240403187A1
公开(公告)日：2024-12-05
申请号：US18799992
申请日：2024-08-09
Applicant: Stripe, Inc.
Inventor： Timothy James FONTAINE , Kenneth AUCHENBERG , Gabriel HURLEY , Justin TULLOSS
Abstract: In some embodiments, a computer system receives a user interface corresponding to an event-based workflow, generates event data based on a user input to the user interface, and provides the event data to the host platform system causing the host platform system to attempt to execute a first step corresponding to one or more events of the event-based workflow, wherein a failure to execute the step is resolved in at least one of a first manner or a second manner, the first manner corresponds to a first set of one or more execution criteria associated with the step, and the second manner corresponds to a second set of one or more execution criteria associated with the step. In response to providing the event data, the computer system receives a result corresponding to the attempted execution of the step and updates the user interface based on the result.
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公开(公告)号：US12147786B2
公开(公告)日：2024-11-19
申请号：US17821582
申请日：2022-08-23
Applicant: International Business Machines Corporation
Inventor： Deepak Malik , Sudarshan , Anita Duggal , Hemant Singh , Mukundan Sundararajan
Abstract: In an approach to improve converting conversation to user stories, embodiments capture keywords from a captured discussion, and identify the probability of the keywords being an object attribute or action behavior. Further, responsive to identifying, based on the probability, that the keywords are the object attribute or the action behavior, embodiments determine that the object attribute or the action behavior are not new to a first user story. Additionally, embodiments determine that the attribute or the action behavior are associated with an existing object in a first user story, and update the first user story with the attribute or the action behavior.
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公开(公告)号：US20240370258A1
公开(公告)日：2024-11-07
申请号：US18312578
申请日：2023-05-04
Applicant: Engineer.ai Corp.
Inventor： Sachin Dev Duggal , Yash Mittal , Harshit Agarwal , Rohan Patel
Abstract: Method and System for allocating one or more resources to develop an application are disclosed. The method includes receiving one or more requests from a customer, where the one or more requests include information about the application to be developed and generating a buildcard based on the received one or more requests. The method further includes allocating the one or more resources to develop the application based on the generated buildcard.
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9.发明公开公开(公告)号：US20240329939A1
公开(公告)日：2024-10-03
申请号：US18192005
申请日：2023-03-29
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya SRINIVASARAGHAVAN , Raja MAHADEVAN , Shoumik CHAKRAVARTY
CPC classification number: G06F8/10 , G06F11/3608
Abstract: A device may store, in a data structure, a plurality of feature variants associated with a schema of software and signatures generated based on the schema, and may provide a user interface that requests experiment information. The device may receive, via the user interface, the experiment information, and may identify, in the data structure, a set of feature variants, from the plurality of feature variants, based on the experiment information. The device may identify a set of corresponding signatures for the set of feature variants and may compare signatures of the set of corresponding signatures to identify compliant signatures of the set of corresponding signatures. The device may generate compliant feature variants based on the compliant signatures and may define segments and metrics. The device may generate the software experiment based on the compliant feature variants, the segments, and the metrics, and may execute the software experiment to generate results.
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公开(公告)号：US20240320036A1
公开(公告)日：2024-09-26
申请号：US18624069
申请日：2024-04-01
Applicant: RazorThink, Inc.
Inventor： Purushottaman Nandakumar
CPC classification number: G06F9/4881 , G06F8/10 , G06F8/34 , G06N20/00
Abstract: A data processing method and system for automated construction, resource provisioning, data processing, feature generation, architecture selection, pipeline configuration, hyperparameter optimization, evaluation, execution, production, and deployment of machine learning models in an artificial intelligence solution development lifecycle. In accordance with various embodiments, a graphical user interface of an end user application is configured to provide a pre-configured template comprises an automated ML framework for data import, data preparation, data transformation, feature generation, algorithms selection, hyperparameters tuning, models training, evaluation, interpretation, and deployment to an end user. A configurable workflow is configured 10 to enable a user to assemble one or more transmissible AI build/products containing one or more pipelines and/or ML models for executing one or more AI solutions. Embodiments of the present disclosure may enable full serialization and versioning of all entities relating to an AI build/product for deployment within an enterprise architecture.
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