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公开(公告)号:US12118301B2
公开(公告)日:2024-10-15
申请号:US17332318
申请日:2021-05-27
发明人: Fandong Meng , Jinchao Zhang , Jie Zhou
IPC分类号: G06F40/30 , G06F18/10 , G06F18/25 , G06F40/20 , G06F40/289 , G06F40/35 , G06F40/40 , G06N3/048
摘要: A method and apparatus for generating a hidden state in a recurrent neural network for language processing are provided. The method includes: generating regional word vectors of at least two dimensions of a target word vector inputted at a first moment; combining the regional word vectors to obtain combined regional word vectors of at least two dimensions; performing aggregation transformation processing on the combined regional word vectors based on a feedforward neural network, to obtain an aggregated word vector corresponding to the target word vector; and generating a target hidden state corresponding to the target word vector based on the aggregated word vector.
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公开(公告)号:US20240307015A1
公开(公告)日:2024-09-19
申请号:US18641232
申请日:2024-04-19
申请人: Cleerly, Inc.
IPC分类号: A61B6/50 , A61B5/00 , A61B5/055 , A61B6/00 , A61B6/03 , A61B6/46 , A61B8/12 , A61B8/14 , A61K49/04 , G06F18/10 , G06T7/00 , G06V10/20 , G06V10/24 , G06V10/74 , G06V10/764 , G06V10/82
CPC分类号: A61B6/504 , A61B5/0066 , A61B5/0075 , A61B5/055 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61B6/032 , A61B6/037 , A61B6/463 , A61B6/467 , A61B6/481 , A61B6/5205 , A61B8/12 , A61B8/14 , A61K49/04 , G06F18/10 , G06T7/0012 , G06V10/20 , G06V10/245 , G06V10/761 , G06V10/764 , G06V10/82 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , G06T2207/30101 , G06V10/247
摘要: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
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公开(公告)号:US20240277308A1
公开(公告)日:2024-08-22
申请号:US18629673
申请日:2024-04-08
申请人: Cleerly, Inc.
IPC分类号: A61B6/50 , A61B5/00 , A61B5/055 , A61B6/00 , A61B6/03 , A61B6/46 , A61B8/12 , A61B8/14 , A61K49/04 , G06F18/10 , G06T7/00 , G06V10/20 , G06V10/24 , G06V10/74 , G06V10/764 , G06V10/82
CPC分类号: A61B6/504 , A61B5/0066 , A61B5/0075 , A61B5/055 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61B6/032 , A61B6/037 , A61B6/463 , A61B6/467 , A61B6/481 , A61B6/5205 , A61B8/12 , A61B8/14 , A61K49/04 , G06F18/10 , G06T7/0012 , G06V10/20 , G06V10/245 , G06V10/761 , G06V10/764 , G06V10/82 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , G06T2207/30101 , G06V10/247
摘要: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
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公开(公告)号:US20240273165A1
公开(公告)日:2024-08-15
申请号:US18107799
申请日:2023-02-09
发明人: Bo Chen ZHU , Mai ZENG , Xin Xin DONG , Ming Qiao SHANG GUAN , Wei SONG , Tian Ming PAN , Wen Zhong LIU
IPC分类号: G06F18/232 , G06F18/10
CPC分类号: G06F18/232 , G06F18/10
摘要: A system, method, and computer program product include: collecting runtime history capture data by a data agent operable on a computing device; performing a pre-analysis of entries in the history capture data, the history capture data including a plurality of database transactions corresponding to user tables, and providing formatted history capture data; clustering the formatted history capture data into clusters by data characteristics of interval groups; performing a post-analysis on the clusters and providing a unit data profile for capture data of the user tables; and dynamically updating capture policies corresponding to capture processes for the user tables, the updating based at least on the unit data profile provided by the post-analysis. In some embodiments the clustering is density based. Optionally, an alert is sent when capture process capacity is exceeded.
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公开(公告)号:US12058527B2
公开(公告)日:2024-08-06
申请号:US17542665
申请日:2021-12-06
申请人: NEC Corporation
发明人: Taichi Ohtsuji , Toshiki Takeuchi , Hiroyuki Akiba
摘要: A transmission apparatus recognition apparatus includes a storage unit that stores K sets of template feature groups for estimating K (an integer of 2 or more) kinds of information indicative of a transmission apparatus, a degree-of-similarity calculation unit that generates an i (an integer of 1 to K)-th sample feature from a radio feature, and calculates an i-th degree-of-similarity group, based on the i-th sample feature and an i-th set of the template feature group, a summed degree-of-similarity calculation unit that calculates a summed degree of similarity by summing K degrees of similarity by using an i-th weighting factor with respect to 1 to K of i, and an estimation unit that estimates that K information pieces, which are correlated in advance with calculation sources of K degrees of similarity having the summed degree of similarity that is highest, are information indicative of the transmission apparatus.
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公开(公告)号:US20240256982A1
公开(公告)日:2024-08-01
申请号:US18633486
申请日:2024-04-11
申请人: QOMPLX LLC
发明人: Jason Crabtree , Andrew Sellers
IPC分类号: G06N20/00 , G06F16/215 , G06F16/951 , G06F18/10 , G06F18/20 , G06F18/214 , G06F18/24 , G06N5/022 , H04L67/10
CPC分类号: G06N20/00 , G06F16/215 , G06F16/951 , G06F18/10 , G06F18/214 , G06F18/24 , G06N5/022 , H04L67/10 , G06F18/29
摘要: Improving a distributed model with distributed data receives an instance of the distributed model from the network-connected computing system, create a cleansed dataset from data stored in the memory with at least biases within the data stored in memory corrected, train the instance of the distributed model with the cleansed dataset, and generate an update report based at least in part by updates to the instance of the distributed model.
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公开(公告)号:US12033073B2
公开(公告)日:2024-07-09
申请号:US17156464
申请日:2021-01-22
申请人: Google LLC
发明人: Sergey Ioffe , Corinna Cortes
CPC分类号: G06N3/08 , G06F18/10 , G06F18/2415 , G06N3/04 , G06N3/084 , G06V10/70 , G06V10/82 , G06T2207/20081
摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.
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公开(公告)号:US20240169027A1
公开(公告)日:2024-05-23
申请号:US18430480
申请日:2024-02-01
发明人: Nathaniel Freese , Meera Rao , Rick Wolf , Peyton Rose , Stephen Martin , Sameer Soi , Zachary Taylor , Ye Wang
IPC分类号: G06F18/2113 , G06F16/242 , G06F16/2458 , G06F18/10 , G06F18/214 , G06N20/00 , G06Q30/0282
CPC分类号: G06F18/2113 , G06F16/2443 , G06F16/2465 , G06F18/10 , G06F18/2155 , G06N20/00 , G06Q30/0282
摘要: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.
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公开(公告)号:US11960978B2
公开(公告)日:2024-04-16
申请号:US17099897
申请日:2020-11-17
申请人: QOMPLX LLC
发明人: Jason Crabtree , Andrew Sellers
IPC分类号: G06N20/00 , G06F16/21 , G06F16/215 , G06F16/95 , G06F16/951 , G06F18/10 , G06F18/21 , G06F18/214 , G06F18/24 , G06N5/02 , G06N5/022 , H04L67/10 , G06F18/20
CPC分类号: G06N20/00 , G06F16/215 , G06F16/951 , G06F18/10 , G06F18/214 , G06F18/24 , G06N5/022 , H04L67/10 , G06F18/29
摘要: A system for improving a distributable model with distributed data is provided, comprising a network-connected distributable model source configured to serve instances of a distributable model; and a directed computation graph module configured to receive at least an instance of the distributable model from the network-connected computing system, create a cleansed dataset from data stored in the memory with at least biases within the data stored in memory corrected, train the instance of the distributable model with the cleansed dataset, and generate an update report based at least in part by updates to the instance of the distributable model.
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公开(公告)号:US11941881B2
公开(公告)日:2024-03-26
申请号:US17320090
申请日:2021-05-13
申请人: Magic Leap, Inc.
IPC分类号: G06V20/20 , G02B27/01 , G06F18/10 , G06F18/21 , G06F18/22 , G06N20/00 , G06T3/00 , G06V20/62
CPC分类号: G06V20/20 , G02B27/0172 , G06F18/10 , G06F18/217 , G06F18/22 , G06N20/00 , G06T3/0093 , G06V20/62 , G02B2027/0114 , G02B2027/0134
摘要: A pupil separation system includes an input surface, a central portion including a set of dichroic mirrors, a first reflective surface disposed laterally with respect to the central portion, and a second reflective surface disposed laterally with respect to the central portion. The pupil separation system also includes an exit face including a central surface operable to transmit light in a first wavelength range, a first peripheral surface adjacent the central surface and operable to transmit light in a second wavelength range, and a second peripheral surface adjacent the central surface and opposite to the first peripheral surface. The second peripheral surface is operable to transmit light in a third wavelength range.
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