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公开(公告)号：US10560844B2
公开(公告)日：2020-02-11
申请号：US15460063
申请日：2017-03-15
摘要： In one embodiment, a system includes a processing circuit and logic integrated with the processing circuit, executable by the processing circuit, or integrated with and executable by the processing circuit. The logic is configured to cause the processing circuit to limit functionality of a remote controlled device during periods of time that a user of the remote controlled device is not authenticated, and to receive identity information of the user of the remote controlled device via an authentication process, with the identity information establishing an identity of the user. Also, the logic is configured to cause the processing circuit to authenticate the user prior to allowing full functionality of the remote controlled device, send an indication of the identity of the user to the remote controlled device, and provide full functionality of the remote controlled device to the user in response to successfully authenticating the user.
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公开(公告)号：US20180270657A1
公开(公告)日：2018-09-20
申请号：US15460063
申请日：2017-03-15
摘要： In one embodiment, a system includes a processing circuit and logic integrated with the processing circuit, executable by the processing circuit, or integrated with and executable by the processing circuit. The logic is configured to cause the processing circuit to limit functionality of a remote controlled device during periods of time that a user of the remote controlled device is not authenticated, and to receive identity information of the user of the remote controlled device via an authentication process, with the identity information establishing an identity of the user. Also, the logic is configured to cause the processing circuit to authenticate the user prior to allowing full functionality of the remote controlled device, send an indication of the identity of the user to the remote controlled device, and provide full functionality of the remote controlled device to the user in response to successfully authenticating the user.
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公开(公告)号：US11755981B2
公开(公告)日：2023-09-12
申请号：US17321567
申请日：2021-05-17
发明人： Jeb R. Linton , David K. Wright , Michael Amisano , John Melchionne , John Behnken , Dennis Kramer
IPC分类号： G06Q10/0639 , G07C13/00 , H04N21/475
CPC分类号： G06Q10/06398 , G07C13/00 , H04N21/4758 , H04N21/4756
摘要： Technology for voting, or endorsing with votes, a set of subjects under review, such as a group of human individual peers or a set of products. Each voter in this system is provided with an amount of voting credits that may be allocated among and between at least some of the subjects under review. In some embodiments a discounting scheme is applied to the voting credit allocations so that multiple credits allocated to a single subject will typically count for fewer net “votes” for the subject as the number of credits allocated to that single subject increases. In some embodiments, the discounting scheme is polynomial voting.
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公开(公告)号：US20210257088A1
公开(公告)日：2021-08-19
申请号：US16792708
申请日：2020-02-17
发明人： John Melchionne , Michael Amisano , John Behnken , Jeb R. Linton , David K. Wright , Dennis Kramer
摘要： A first patient intervention is identified. The first patient intervention regards a first patient record that includes one or more attributes related to a first patient. The first patient intervention is transmitted to a first program split of a secure multi-party computation. A conflict is detected in the first patient intervention and an existing medical situation regarding the first patient. The conflict is detected by the first program split of the secure multi-party computation and by a third program split of the secure multi-party computation. Based on the detected conflict, a notification is generated by the first program split. The notification is based on the detected conflict. The notification based on the detected conflict is provided to a first client.
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公开(公告)号：US11074486B2
公开(公告)日：2021-07-27
申请号：US15822995
申请日：2017-11-27
发明人： Jeb R. Linton , David K. Wright
IPC分类号： G06F16/00 , G06K9/68 , G06N3/02 , G06F16/35 , G06F16/2457 , G06F16/332
摘要： The present invention provides a method, computer program product, and system of generating predicted reactions of a user. In some embodiments, the method, computer program product, and system include receiving an intelligence data store, receiving a current data object with a current query and at least one knowledge graph, identifying one or more patterns in the at least one knowledge graph, comparing using a deep neural net, the previous queries and associated one or more patterns with the current query and identified one or more patterns of the current data object, classifying the plurality data objects from the intelligence data store based on a closeness of the current query and identified one or more patterns with each of the previous queries and associated one or more patterns in the intelligence data store, and identifying, by the classification engine, potential dispositions based on the classification of the plurality of data objects.
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公开(公告)号：US20190164022A1
公开(公告)日：2019-05-30
申请号：US15822995
申请日：2017-11-27
发明人： Jeb R. Linton , David K. Wright
摘要： The present invention provides a method, computer program product, and system of generating predicted reactions of a user. In some embodiments, the method, computer program product, and system include receiving an intelligence data store, receiving a current data object with a current query and at least one knowledge graph, identifying one or more patterns in the at least one knowledge graph, comparing using a deep neural net, the previous queries and associated one or more patterns with the current query and identified one or more patterns of the current data object, classifying the plurality data objects from the intelligence data store based on a closeness of the current query and identified one or more patterns with each of the previous queries and associated one or more patterns in the intelligence data store, and identifying, by the classification engine, potential dispositions based on the classification of the plurality of data objects.
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公开(公告)号：US12027264B2
公开(公告)日：2024-07-02
申请号：US16792708
申请日：2020-02-17
发明人： John Melchionne , Michael Amisano , John Behnken , Jeb R. Linton , David K. Wright , Dennis Kramer
摘要： A first patient intervention is identified. The first patient intervention regards a first patient record that includes one or more attributes related to a first patient. The first patient intervention is transmitted to a first program split of a secure multi-party computation. A conflict is detected in the first patient intervention and an existing medical situation regarding the first patient. The conflict is detected by the first program split of the secure multi-party computation and by a third program split of the secure multi-party computation. Based on the detected conflict, a notification is generated by the first program split. The notification is based on the detected conflict. The notification based on the detected conflict is provided to a first client.
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公开(公告)号：US11676011B2
公开(公告)日：2023-06-13
申请号：US16662087
申请日：2019-10-24
CPC分类号： G06N3/08 , G06F21/53 , G06F21/6236 , G06N3/04 , G06F2221/031
摘要： Embodiments are disclosed for a method for private transfer learning. The method includes generating a machine learning model comprising a training application programming interface (API) and an inferencing API. The method further includes encrypting the machine learning model using a predetermined encryption mechanism. The method additionally includes copying the encrypted machine learning model to a trusted execution environment. The method also includes executing the machine learning model in the trusted execution environment using the inferencing API.
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公开(公告)号：US11270024B2
公开(公告)日：2022-03-08
申请号：US16510136
申请日：2019-07-12
发明人： Dennis Kramer , Jeb R. Linton , Michael Amisano , David K. Wright , John Melchionne , John Behnken
摘要： Methods for secure data monitoring utilizing secure private set intersections are disclosed. In embodiments, a computer-implemented method includes: generating a garbled circuit program compiled into a first and second half; sending the second half of the garbled circuit program to a client server of a client; receiving social network data from a social network provider; and generating search results, utilizing the first half of the garbled circuit program in cooperation with the second half of the garbled circuit program, based on client data input at the second half of the garbled circuit program. The client data is private with respect to the social network provider and the social network data is private with respect to the client.
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公开(公告)号：US20210125051A1
公开(公告)日：2021-04-29
申请号：US16662087
申请日：2019-10-24
摘要： Embodiments are disclosed for a method for private transfer learning. The method includes generating a machine learning model comprising a training application programming interface (API) and an inferencing API. The method further includes encrypting the machine learning model using a predetermined encryption mechanism. The method additionally includes copying the encrypted machine learning model to a trusted execution environment. The method also includes executing the machine learning model in the trusted execution environment using the inferencing API.
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