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公开(公告)号:US20230379274A1
公开(公告)日:2023-11-23
申请号:US18110776
申请日:2023-02-16
IPC分类号: H04L51/02 , G06F3/0482 , G06F16/954 , G06F16/955
CPC分类号: H04L51/02 , G06F3/0482 , G06F16/954 , G06F16/9566
摘要: Provided herein are methods and systems for generating a chatbot. In response to a user selection of a content repository, the method can include generating a hierarchy map based on the selected content repository, translating the hierarchy map into a series of chatbot prompts, and generating a chatbot based on the series of chatbot prompts. The chatbot can be configured to guide the user to selected content within the content repository.
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公开(公告)号:US11681688B2
公开(公告)日:2023-06-20
申请号:US17186748
申请日:2021-02-26
IPC分类号: G06F16/23 , G06F16/18 , G06N20/00 , H04L67/104 , H04L67/1095 , H04L67/1097
CPC分类号: G06F16/2379 , G06N20/00 , H04L67/104 , H04L67/1095 , H04L67/1097
摘要: The present disclosure relates generally to storing computer models, and more specifically to a platform for achieving replicability of a computer model (e.g., a trained machine-learning algorithm) by storing and providing access to data associated with the computer model using an immutable and decentralized ledger system (e.g., a blockchain ledger) and a distributed database. An exemplary computer-enabled method for storing a computer model, the method comprises: receiving data associated with the computer model; generating one or more asset files based on the data associated with the computer model; generating one or more hash values corresponding to the one or more asset files; generating one or more of location trackers corresponding to the one or more asset files; generating a ledger entry comprising the one or more hash values and the one or more location trackers; and adding the ledger entry to a blockchain ledger.
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公开(公告)号:US11564636B1
公开(公告)日:2023-01-31
申请号:US16529339
申请日:2019-08-01
发明人: Paul M. D'Alessandro , Mark Paich , Samuel Pierce Burns , Joydeep Sarkar , Gaurav Dwivedi , Colleen Chelini
摘要: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
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公开(公告)号:US20230004590A1
公开(公告)日:2023-01-05
申请号:US17854337
申请日:2022-06-30
发明人: Chung-Sheng LI , Winnie CHENG , Mark John FLAVELL , Lori Marie HALLMARK , Nancy Alayne LIZOTTE , Kevin Ma LEONG
摘要: Systems and methods for adjudicating AI-augmented automated analysis of documents in order to quickly and efficiently make various adjudications based on the documents are provided, including adjudications as to whether the documents represent underlying data that meets one or more predefined or dynamically-determined criteria. Criteria for adjudication may include commercial-substance criteria, related-party-transaction criteria, and/or collectability criteria. A system may receive a plurality of documents and generate a plurality of feature vectors by applying natural language processing techniques. The system may apply one or more classification models to the plurality of feature vectors to generate output data classifying each of the feature vectors. The system may identify, for each feature vector, a subset of closest matching prior feature vectors. Based on the classification and based on the identified subset, the system may adjudicate each feature vector with respect to commercial substance, including an adjudication classification and an adjudication confidence score.
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公开(公告)号:US11520957B2
公开(公告)日:2022-12-06
申请号:US16874421
申请日:2020-05-14
发明人: Sai Phanindra Venkatapurapu , Mrinal Kanti Mandal , Jerome Patrick Offner , Rakesh Vidya Chandra Kapila , Gaurav Dwivedi , Qian Chen , Julia Hui-ling Chen , Samuel Pierce Burns , Paul M. D'Alessandro
摘要: Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed. Each calibration result is enqueued to a calibration results queue as the plurality of calibration engines generates the calibration result and a plurality of calibration results dequeued from the calibration results queue in association with the plurality of corresponding physical entities can be stored as information used to generate a plurality of corresponding digital twins.
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公开(公告)号:US20220342911A1
公开(公告)日:2022-10-27
申请号:US17579262
申请日:2022-01-19
发明人: Amit DHIR , Pradnesh DESHMUKH , Vasundhara RUNGTA , Pranati DANG , Aparna PRASANNAN , Vishal ADKAR , Mathew GEORGE
IPC分类号: G06F16/28 , G06F16/215 , G06F16/25 , G06F16/23 , G06F16/2455
摘要: A method for data ingestion for a data visualization platform comprises receiving a plurality of data sets, generating and storing a merged data set based on the plurality of received data sets, and, receiving, via a graphical user interface, a first input comprising an instruction to perform a data standardization operation. The method comprises, in response to receiving the first input, applying a data standardization operation to the merged data set to process the merged data set to generate a standardized data set. The method comprises receiving, via the interface, a second input comprising an instruction to perform a data analytics operation, and responsively applying the data analytics operation to the standardized data set to generate insights data. The method includes receiving, via the interface, a third input comprising an instruction to perform a data visualization operation, and responsively generating one or more data visualizations based on the insights data.
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公开(公告)号:US11443102B1
公开(公告)日:2022-09-13
申请号:US17402338
申请日:2021-08-13
发明人: Jacob T. Wilson , Joseph D. Harrington , Vinston Sundara Pandiyan Sigamani , Abhishek Sanghavi , Jayakumar Pillai , Benjamin Cunningham , Lindsey P. Lewis
IPC分类号: G06F40/169 , G06F16/93 , G06F3/0482
摘要: Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
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公开(公告)号:US20210288823A1
公开(公告)日:2021-09-16
申请号:US16815626
申请日:2020-03-11
摘要: Systems and methods for secure and accountable execution of computer scripts are disclosed. A system for validating an execution of a set of computer instructions may be configured to receive a first cryptographic hash, the first cryptographic hash corresponding to the set of computer instructions, to receive a second cryptographic hash, the second cryptographic hash corresponding to a runtime utility, wherein the runtime utility is configured to execute the set of computer instructions, to generate a ledger entry comprising the first cryptographic hash, the second cryptographic hash, and an indicator of success, and to add the ledger entry to a blockchain ledger, wherein the blockchain ledger is configured to receive the ledger entry from an authenticated node.
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公开(公告)号:US10398389B1
公开(公告)日:2019-09-03
申请号:US15096022
申请日:2016-04-11
发明人: Paul M. D'Alessandro , Mark Paich , Samuel Pierce Burns , Joydeep Sarkar , Gaurav Dwivedi , Colleen Chelini
摘要: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
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公开(公告)号:US20140085323A1
公开(公告)日:2014-03-27
申请号:US14060942
申请日:2013-10-23
发明人: Lever Wang , Glenn Ricart , Cynthia Ann Thompson , Keith Wishon , Sheldon Laube
IPC分类号: G06K9/00
CPC分类号: G06K9/00442
摘要: A document processing system for accurately and efficiently analyzing documents and methods for making and using same. Each incoming document includes at least one section of textual content and is provided in an electronic form or as a paper-based document that is converted into an electronic form. Since many categories of documents, such as legal and accounting documents, often include one or more common text sections with similar textual content, the document processing system compares the documents to identify and classify the common text sections. The document comparison can be further enhanced by dividing the document into document segments and comparing the document segments; whereas, the conversion of paper-based documents likewise can be improved by comparing the resultant electronic document with a library of standard phrases, sentences, and paragraphs. The document processing system thereby enables an image of the document to be manipulated, as desired, to facilitate its review.
摘要翻译: 一种文件处理系统,用于准确高效地分析文件和制作和使用方法。 每个传入的文档包括文本内容的至少一部分,并以电子形式或转换为电子表格的纸质文档提供。 由于许多类型的文件(如法律和会计凭证)通常包括一个或多个具有相似文本内容的常见文本段落,所以文档处理系统比较文档以识别和分类普通文本段。 通过将文档分割成文档段并比较文档段,可以进一步增强文档比较; 而通过将得到的电子文件与标准短语,句子和段落的图书馆进行比较,可以改进纸质文件的转换。 因此,文档处理系统使得能够根据需要操纵文档的图像,以便于其审查。
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