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1.发明授权公开(公告)号：US11921705B2
公开(公告)日：2024-03-05
申请号：US17566954
申请日：2021-12-31
申请人： Ernst & Young U.S. LLP , EYGS LLP
CPC分类号： G06F16/2379 , G06Q20/389 , H04L9/088 , H04L9/3239 , G06Q2220/00 , H04L9/50
摘要： A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.
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公开(公告)号：US11681878B2
公开(公告)日：2023-06-20
申请号：US17982760
申请日：2022-11-08
发明人： Adam Polak , Ryan David Gleeson
CPC分类号： G06F40/30
摘要： A method includes receiving a dataset that includes a plurality of input texts. Each input text from the plurality of texts is associated with a content category from a plurality of content categories based on a comparison between that input text and an intended meaning that is common for each comparison. For each model in a plurality of models, and for each content category from the plurality of content categories, that model is executed on each input text from the plurality of input texts to generate an average similarity/dissimilarity score for that content category. At least one model from the plurality of models is selected, based on the average similarity score for each content category from the plurality of content categories for each model in the plurality of models, to determine whether an input text is similar/dissimilar to the intended meaning.
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公开(公告)号：US20200351094A1
公开(公告)日：2020-11-05
申请号：US16654720
申请日：2019-10-16
摘要： An apparatus includes a tester to detect a biological signature of a biological sample, a processor, and a memory operably coupled to the processor. The memory stores instructions to cause the processor to receive an indication of the biological signature from the tester, and to generate, using a smart contract and through communication with a distributed ledger, a cryptographic token including a digital identifier based on the biological signature. The cryptographic token is transmitted to a remote processor for verification of the biological sample, in response to receiving the cryptographic token. The tester can detect the biological signature within a predetermined test duration that is less than a DNA sequencing duration associated with the biological sample, and the biological signature has a data precision sufficient to uniquely identify the biological sample from a plurality of biological samples.
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公开(公告)号：US11206138B2
公开(公告)日：2021-12-21
申请号：US16654720
申请日：2019-10-16
摘要： An apparatus includes a tester to detect a biological signature of a biological sample, a processor, and a memory operably coupled to the processor. The memory stores instructions to cause the processor to receive an indication of the biological signature from the tester, and to generate, using a smart contract and through communication with a distributed ledger, a cryptographic token including a digital identifier based on the biological signature. The cryptographic token is transmitted to a remote processor for verification of the biological sample, in response to receiving the cryptographic token. The tester can detect the biological signature within a predetermined test duration that is less than a DNA sequencing duration associated with the biological sample, and the biological signature has a data precision sufficient to uniquely identify the biological sample from a plurality of biological samples.
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公开(公告)号：US20200327407A1
公开(公告)日：2020-10-15
申请号：US16381505
申请日：2019-04-11
摘要： A multi-label ranking method includes receiving, at a processor and from a first set of artificial neural networks (ANNs), multiple signals representing a first set of ANN output pairs for a first label. A signal representing a second set of ANN output pairs for a second label different from the first label is received at the processor from a second set of ANNs different from the first set of ANNs, substantially concurrently with the first set of ANN output pairs. A first activation function is solved based on the first set of ANN output pairs, and a second activation function is solved based on the second set of ANN output pairs. Loss values are calculated based on the solved activations, and a mask is generated based on at least one ground truth label. A signal, including a representation of the mask, is sent from the processor to each of the sets of ANNs.
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公开(公告)号：US20200327373A1
公开(公告)日：2020-10-15
申请号：US16790945
申请日：2020-02-14
发明人： Dan G. TECUCI , Ravi Kiran Reddy PALLA , Hamid Reza Motahari NEZHAD , Vincent POON , Nigel Paul DUFFY , Joseph NIPKO
IPC分类号： G06K9/62 , G06K9/00 , G06N3/02 , G06N20/20 , G06F3/0482
摘要： An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.
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7.发明公开公开(公告)号：US20230259647A1
公开(公告)日：2023-08-17
申请号：US18164377
申请日：2023-02-03
发明人： Vincent YIP , Kaushal JOSHI , Marek GIBIEC , Abhishek MADHOK , Syed Muhammad Raza ZAIDI , Fahad ABUNAYYAN , Chris LANZILOTTA , Divye CHATURVEDI , Yashika MANAV
CPC分类号： G06F21/6218 , G06F16/2379 , G06F21/604
摘要： In some embodiments, a method includes retrieving data associated with each account from a set of accounts from one or more computing platforms and parsing the data to determine a set of characteristics associated with each account from the set of accounts. The method includes mapping, based on an entitlement value of each account, a first subset of accounts from the set of accounts to a first privilege value, and mapping, based on an entitlement value of each account, a second subset of accounts from the set of accounts to a second privilege value. The method includes generating a report indicating the first subset of accounts having the first privilege value and the second subset of accounts having the second privilege value. In some implementations, the method includes scheduling a set of jobs to execute the jobs automatically in response to at least one trigger event.
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8.发明授权公开(公告)号：US11216448B2
公开(公告)日：2022-01-04
申请号：US17216083
申请日：2021-03-29
摘要： A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.
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公开(公告)号：US20210326872A1
公开(公告)日：2021-10-21
申请号：US17231467
申请日：2021-04-15
发明人： John Stoddard ROBOTHAM , Barath Krishna BALASUBRAMANIAN , Franciscus Cornelis Pieter PUTMAN , Todd R. SMITH , Steven John VALERI
摘要： A method for generating and controlling intelligent assertion tokens includes generating a first assertion token, during a first step of a supply chain process. The first assertion token is inspected to determine validity. If the first assertion token is not valid, the receipt of the first assertion token is rejected. If the first assertion token is determined to be valid, the use of the first assertion token in further transmissions and/or transactions is authorized. The first assertion token can be passed to a second step of the supply chain process, and a second assertion token may be generated based on the first assertion token. Upon receipt of the second assertion token, it is inspected to determine validity. If not valid, the transmission and/or transfer of the second assertion token is rejected. If valid, the transmission and/or transfer of the second assertion token to a further step of the supply chain process or to a customer is authorized.
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公开(公告)号：US20210166074A1
公开(公告)日：2021-06-03
申请号：US17169825
申请日：2021-02-08
发明人： Dan G. TECUCI , Ravi Kiran Reddy PALLA , Hamid Reza Motahari NEZHAD , Vincent POON , Nigel Paul DUFFY , Joseph NIPKO
IPC分类号： G06K9/62 , G06F3/0482 , G06K9/00 , G06N3/02 , G06N20/20
摘要： An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.
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