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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：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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3.发明授权Efficient and phased method of processing large collections of electronic data known as “best match first”™ for electronic discovery and other related applications 有权处理大量电子数据收集的高效和分阶段方法，被称为“最佳匹配第一”™，用于电子发现和其他相关应用公开(公告)号：US08819021B1
公开(公告)日：2014-08-26
申请号：US12021259
申请日：2008-01-28
CPC分类号： G06F17/30657
摘要： A method of more efficient, phased, iterative processing of very large collections of electronic data for the purposes of electronic discovery and related applications is disclosed. The processing minimally includes: text extraction, and the creation of a keyword search index, but may include many additional stages of processing as well. The method further includes: definition of an initial set of characteristics that correspond to “interesting” data, followed by the iterative completion of processing of this data based on a combination of user feedback on the overall relevance of the documents being processed and the system's assessment of whether or not the data it has recently selected to promote in the processing completion queue has the desired quality and quantity of relevant data. The process continues until all identified data has either been fully processed, or discarded at some intermediate stage of processing as being likely irrelevant. This has the result of effectively finishing the processing much earlier, as the later documents in the processing queue will be increasingly irrelevant.
摘要翻译： 公开了一种用于电子发现和相关应用目的的用于电子数据的非常大的集合的更有效，分阶段，迭代处理的方法。 处理最低限度包括：文本提取和关键字搜索索引的创建，但也可以包括许多其他处理阶段。 该方法还包括：定义对应于“有趣”数据的初始特征集合，随后基于用户对正在处理的文档的整体相关性和系统评估的组合的反馈来完成该数据的处理 其最近选择在数据处理完成队列中促进的数据是否具有所需的相关数据质量和数量。 该过程一直持续到所有已识别的数据已被完全处理，或者在处理的某个中间阶段丢弃，因为可能不相关。 这样做的结果是能够更早地有效地完成处理，因为处理队列中的后续文档将越来越不相关。
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公开(公告)号：US20240232626A1
公开(公告)日：2024-07-11
申请号：US18583459
申请日：2024-02-21
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：US11972345B2
公开(公告)日：2024-04-30
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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6.发明公开公开(公告)号：US20230161965A1
公开(公告)日：2023-05-25
申请号：US17982760
申请日：2022-11-08
发明人： Adam POLAK , Ryan David GLEESON
IPC分类号： G06F40/30
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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7.发明申请公开(公告)号：US20220197894A1
公开(公告)日：2022-06-23
申请号：US17566954
申请日：2021-12-31
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：US10956786B2
公开(公告)日：2021-03-23
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： G06N3/02 , G06K9/62 , G06F3/0482 , G06K9/00 , 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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公开(公告)号：US10360607B2
公开(公告)日：2019-07-23
申请号：US15714370
申请日：2017-09-25
发明人： Sce Pike , Quinn Simpson , Kevin Gask
摘要： Access to certain application programs and/or media content items at or from an online storefront are granted or denied for a requesting computing device based on whether a subject computing device is present at or within a threshold proximity to a reference computing device or a reference location. The requesting computing device may include the reference computing device or another computing device.
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公开(公告)号：US08644473B1
公开(公告)日：2014-02-04
申请号：US12430456
申请日：2009-04-27
申请人： Robert Bardwell , Steven N. Large , A. Brent Summers , Jeffrey E. Chulick , Craig Thrall , Scott Hallock , Tom Bamert
发明人： Robert Bardwell , Steven N. Large , A. Brent Summers , Jeffrey E. Chulick , Craig Thrall , Scott Hallock , Tom Bamert
IPC分类号： H04M3/42
CPC分类号： H04M3/42263
摘要： A method is provided for directing calls placed to a telephone number associated with a user according to a reservation identifying the user, a workspace, and a start time. The method includes acts of receiving a first message from a telephone device located at the workspace in response to a first input at the telephone device on or after the start time, retrieving the reservation from a reservation database in response to receiving the first message, sending a second message to the telephone device based at least in part on a portion of the reservation identifying the user, receiving a third message sent in response to a second input at the telephone device, the third message including an identifier of the telephone device, retrieving the telephone number associated with the user from a user database, and directing calls placed to the telephone number associated with the user to the telephone device.
摘要翻译： 提供了一种方法，用于根据标识用户，工作空间和开始时间的预留，指定与用户相关联的电话号码的呼叫。 该方法包括响应于在开始时间之后或之后在电话设备处的第一次输入从位于工作空间的电话设备接收第一消息的动作，响应于接收到第一消息从预约数据库检索预留，发送 至少部分地基于所述预留的一部分标识所述用户的第二消息，接收响应于所述电话设备处的第二输入而发送的第三消息，所述第三消息包括所述电话设备的标识符，检索 从用户数据库与用户相关联的电话号码，以及将与用户相关联的电话号码的呼叫定向到电话设备。
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