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公开(公告)号:US11509736B2
公开(公告)日:2022-11-22
申请号:US17129213
申请日:2020-12-21
申请人: People.ai, Inc.
IPC分类号: H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/06 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L67/125 , H04L67/30 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/237 , H04L67/303 , G06N5/02 , G06F16/31 , G06F16/182 , G06F40/20 , H04L51/42 , H04L51/212 , H04L51/234 , H04L61/45 , G06F9/54 , G16H15/00 , G16H50/30 , G06N20/00 , G06F40/205 , H04M3/56 , H04L12/14 , H04L101/37 , H04L101/00 , H04M3/22 , H04L101/35
摘要: The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.
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22.
公开(公告)号:US20220353344A1
公开(公告)日:2022-11-03
申请号:US17700233
申请日:2022-03-21
申请人: People ai, Inc.
发明人: Rajit Joseph , Stefan Hermanek , Jose Alberto Muniz Navarro , Dylan Halladay , Heorhiy Kozlov , Oleg Rogynskyy
IPC分类号: H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/06 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L67/125 , H04L67/30 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/237 , H04L67/303 , G06N5/02 , G06F16/31 , G06F16/182 , G06F40/20 , H04L51/42 , H04L51/212 , H04L51/234 , H04L61/45
摘要: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.
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公开(公告)号:US20220350951A1
公开(公告)日:2022-11-03
申请号:US17867219
申请日:2022-07-18
发明人: Chao Tong , Qingwen Deng
IPC分类号: G06F30/398 , G06N7/02 , G06F30/327 , G06F30/392 , G06F30/394
摘要: Systems and methods include receiving a functional integrated circuit design and generating a plurality of place and route (PnR) layouts based on the received functional integrated circuit design and one or more integrated circuit floorplans may be generated. One or more fuzzy logic rules may be applied to analyze attributes associated with each of the generated PnR layouts, and a PnR layout of the plurality of PnR layouts having an area utilization complying with the one or more fuzzy logic rules may be generated.
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公开(公告)号:US20220345543A1
公开(公告)日:2022-10-27
申请号:US17853797
申请日:2022-06-29
申请人: People.ai, Inc.
IPC分类号: H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/06 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L67/125 , H04L67/30 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/237 , H04L67/303 , G06N5/02 , G06F16/31 , G06F16/182 , G06F40/20 , H04L51/42 , H04L51/212 , H04L51/234 , H04L61/45
摘要: The present disclosure relates to generating a filtered data set. Data from a plurality of systems of record of a plurality of data source providers may be accessed. A master data set generated using the data accessed from the plurality of systems of record may be maintained. Restriction policies including one or more rules for restricting sharing of data may be maintained. A filtered data set may be generated for a data source provider responsive to an application of restriction policies of other data source providers to the master data set. The filtered data set may be provisioned.
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公开(公告)号:US11470170B2
公开(公告)日:2022-10-11
申请号:US16694253
申请日:2019-11-25
申请人: People.ai, Inc.
发明人: Oleg Rogynskyy , Yurii Brunets , Devin Rice
IPC分类号: H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06F3/08 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/06 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L67/125 , H04L67/30 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/237 , H04L67/303 , G06N5/02 , G06F16/31 , G06F16/182 , G06F40/20 , H04L51/42 , H04L51/212 , H04L51/234 , H04L61/45 , G16H15/00 , G16H50/30 , G06N20/00 , G06F40/205 , H04M3/56 , H04L12/14 , H04L101/37
摘要: The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.
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公开(公告)号:US11452829B2
公开(公告)日:2022-09-27
申请号:US16461556
申请日:2017-11-17
申请人: ResMed Pty Ltd
发明人: David John Bassin
摘要: Disclosed is an apparatus for treating a respiratory disorder in a patient. The apparatus comprises a pressure generator configured to deliver a flow of air at positive pressure to an airway of the patient through a patient interface, a sensor configured to generate a signal representative of respiratory flow rate of the patient, and a controller. The controller is configured to control the pressure generator to deliver ventilation therapy having a base pressure and a pressure support through the patient interface, detect an apnea from the signal representative of respiratory flow rate of the patient, control the pressure generator to deliver one or more probe breaths to the patient during the apnea, determine patency of the patient's airway from a waveform of the respiratory flow rate signal in response to one of the one or more probe breaths, compute an effective duration of the apnea based on the patency of the airway, and adjust a set point for the base pressure of the ventilation therapy in response to the apnea based on the effective duration of the apnea.
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27.
公开(公告)号:US11418626B2
公开(公告)日:2022-08-16
申请号:US16418892
申请日:2019-05-21
申请人: People.ai, Inc.
IPC分类号: G06Q10/06 , H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L67/125 , H04L67/30 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/237 , H04L67/303 , G06N5/02 , G06F16/31 , G06F16/182 , G06F40/20 , H04L51/42 , H04L51/212 , H04L51/234 , H04L61/45 , G16H15/00 , G16H50/30 , G06N20/00 , G06F40/205 , H04M3/56 , H04L12/14 , H04M3/22 , H04L101/37
摘要: The present disclosure relates to maintaining extracted data in a group node profile from electronic activities. A group node profile associated with a group entity is maintained. A first data point including an electronic activity or a record object is accessed. The first data point is parsed using a value detection policy to obtain a first value. The group node profile is updated based on the first value. An association score between the group node profile and the first value is generated. A second data point is accessed. The second data point is parsed. The association score between the group node profile and the first value is updated.
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28.
公开(公告)号:US20220191298A1
公开(公告)日:2022-06-16
申请号:US17683240
申请日:2022-02-28
申请人: People.ai, Inc.
发明人: John Wulf , Sathya Hariesh Prakash , Vardhman Jain , Stefan Hermanek , Wei Hai , Oleg Rogynskyy
IPC分类号: H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/06 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L51/42 , H04L51/234 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/237 , H04L51/00 , H04L67/303 , G06N5/02 , G06F16/31 , G06F16/182 , G06F40/20
摘要: The present disclosure relates to methods, systems, and storage media for updating confidence scores of labels based on subsequent electronic activities. Exemplary embodiments may maintain a plurality of node profiles corresponding to a plurality of unique entities; access a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers; identify a first electronic activity to process; assign a tag to the first electronic activity based on the data included in the electronic activity; determine a confidence score of the tag based on the data included in the first electronic activity; identify a second electronic activity to process; and update the confidence score of the tag assigned to the first electronic activity responsive to parsing the second electronic activity.
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公开(公告)号:US11363121B2
公开(公告)日:2022-06-14
申请号:US16418725
申请日:2019-05-21
申请人: People.ai, Inc.
发明人: Oleg Rogynskyy , Eric Jeske , Tetiana Lutsaievska , Hang Li , Yury Markovsky
IPC分类号: H04L29/12 , H04M3/436 , H04M15/00 , G06F40/237 , G06F40/20 , G06N5/02 , G16H15/00 , G16H50/30 , G06N20/00 , G06F40/205 , H04M3/56 , H04L12/14 , H04M3/22 , H04L67/50 , G06F16/9035 , G06F16/335 , G06F16/2455 , G06F16/28 , G06F16/26 , G06F16/901 , G06F16/903 , G16H50/20 , G06F16/27 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/906 , G06F16/21 , G06F16/11 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/2457 , G06F16/9535 , G06F16/178 , G06F16/17 , G06F16/29 , G06F16/35 , G06F40/295 , G06F7/14 , G06F11/30 , G06F11/34 , G06F21/62 , G06N3/08 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/06 , G06Q10/10 , G06Q50/22 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/00 , H04L51/046 , H04L67/125 , H04L67/30 , H04L67/306 , H04L67/303 , G06F16/31 , G06F16/182 , H04L51/42 , H04L51/212 , H04L51/234 , H04L61/45 , H04L101/37
摘要: Methods, systems, and computer-readable storage mediums for standardizing node field-value pairs of node profiles generated using electronic activities across multiple entities are described. In one aspect, the system can access, for a node profile of an entity, data points linked to the node profile. The system may determine a seniority value and a department value using the data points. The system may generate a normalized job title value by combining the seniority value and the department value using a title formatting policy specifying a format in which to combine to the seniority value and the department value. The normalized job title value may identify the seniority and department of entity. The system may store an association between the node profile and the normalized job title value in one or more data structures.
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公开(公告)号:US20220172091A1
公开(公告)日:2022-06-02
申请号:US17107984
申请日:2020-12-01
摘要: A method, system, and computer program product for learning parameters of Bayesian network using uncertain evidence, the method comprising: receiving input comprising graph representation and at least one sample of a Bayesian network, the graph comprising plurality of nodes representing random variables and plurality of directed edges representing conditional dependencies, wherein each of the at least one sample comprising for each node a value selected from the group consisting of: a known value; an unknown value; and an uncertain value; and applying on the input a Bayesian network learning process configured for calculating estimates of conditional probability tables of the Bayesian network using probabilities inferred by applying on the input a Bayesian network uncertain inference process configured for performing inference in a Bayesian network from uncertain evidence.
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