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公开(公告)号:US11954136B2
公开(公告)日:2024-04-09
申请号:US17898867
申请日:2022-08-30
申请人: TENCENT AMERICA LLC
发明人: Linfeng Song
IPC分类号: G06F16/00 , G06F16/332 , G06N5/02
CPC分类号: G06F16/3329 , G06F16/3322 , G06N5/02
摘要: A method of training a model for query generation, the method performed by at least one processor and including receiving a training instance query corresponding to a dialogue history. The method further including generating a first static view of the model based on a number of common words between the training instance query and the dialogue history. The method further including generating a second static view of the model based on one or more tokens not covered by the dialogue history, the one or more tokens corresponding to one or more query words. The method further including generating a dynamic view of the model based on a score operation that compares a candidate query generated from the model with a target query. The method further including training the model based at least on the first static view, the second static view, and the dynamic view.
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公开(公告)号:US20240114316A1
公开(公告)日:2024-04-04
申请号:US17957792
申请日:2022-09-30
申请人: Tile, Inc.
CPC分类号: H04W4/029 , G01S5/0294 , G06N5/022 , H04W4/023
摘要: A method comprises accessing historical signal and other information received from a tracking device configured to scan for signals transmitted by local devices and record other data as the tracking device moves within the geographic area during each of a plurality time intervals. A training dataset is generated based on the historical signal and other information and used to train a machine learning model configured to predict tracking device movement patterns. The machine learning model is applied to current signal and other information to detect a variance from one or more predefined routines associated with the tracking device. A notification is sent to a monitoring device associated with the tracking device in response to detecting the variance from the one or more predefined routines associated with the tracking device.
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83.
公开(公告)号:US20240112046A1
公开(公告)日:2024-04-04
申请号:US17959398
申请日:2022-10-04
发明人: Md Sharifur Rahman , Yinhe Cheng , Feng Chen , Yu Gu
IPC分类号: G06N5/02
CPC分类号: G06N5/022
摘要: Provided is a system for testing a machine learning (ML) model based on simulations in an offline environment that includes at least one processor programmed or configured to receive historical transaction data, generate online simulation data, wherein generating the online simulation data includes modifying the historical timestamp of each data record to provide online simulation data. The processor is further programmed or configured to determine a timeline for a plurality of data insertion actions and a plurality of data request actions based on the online simulation data, perform a simulation of online activities involving a stateful ML model using the timeline for the plurality of data insertion actions and the plurality of data request actions, and validate the stateful ML model based on the simulation of online activities. Methods and computer program products are also provided.
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公开(公告)号:US20240111610A1
公开(公告)日:2024-04-04
申请号:US17936864
申请日:2022-09-30
申请人: Dell Products, L.P.
CPC分类号: G06F9/542 , G06F9/4881 , G06N5/025
摘要: Systems and methods for usage detection and notification in a heterogenous computing platform are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform comprising a plurality of devices and a memory coupled to the platform, where the memory comprises a plurality of sets of firmware instructions, where each of the sets of firmware instructions, upon execution by a respective device, enables the respective device to provide a corresponding firmware service, and where at least one of the plurality of devices operates as an orchestrator configured to: receive context or telemetry data from at least a subset of the plurality of devices and instruct one or more selected devices to execute one or more Artificial Intelligence (AI) models configured to characterize one or more workloads executed by the IHS based, at least in part, upon the context or telemetry data.
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公开(公告)号:US11948412B2
公开(公告)日:2024-04-02
申请号:US17339194
申请日:2021-06-04
申请人: RemoteLock, Inc.
发明人: Nolan Mondrow , Robert Goff , Eric Carlson
CPC分类号: G07C9/00563 , G06F1/28 , G06N5/02 , H04W12/06
摘要: A method for operating an access control device having a processor, a memory, and an internet connection comprises receiving a credential from a user; checking, by comparing the credential to matching credential information that would indicate the user is authorized to enter stored in the memory of the access control device, if no matching credential information that indicates the user is authorized is found in the memory of the access control device, then checking, at a remote cloud server, a list of buffered credential information for the matching credential information that indicates the user is authorized, and if the matching credential information that indicates the user is authorized is found, sending an unlock signal from the remote cloud server to the access control device.
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公开(公告)号:US11948084B1
公开(公告)日:2024-04-02
申请号:US18162291
申请日:2023-01-31
申请人: Databricks, Inc.
发明人: Sue Ann Hong , Shi Xin , Timothee Hunter , Ali Ghodsi
摘要: A function creation method is disclosed. The method comprises defining one or more database function inputs, defining cluster processing information, defining a deep learning model, and defining one or more database function outputs. A database function is created based at least in part on the one or more database function inputs, the cluster set-up information, the deep learning model, and the one or more database function outputs. In some embodiments, the database function enables a non-technical user to utilize deep learning models.
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87.
公开(公告)号:US20240104480A1
公开(公告)日:2024-03-28
申请号:US18057712
申请日:2022-11-21
CPC分类号: G06Q10/06393 , G06N5/02
摘要: A method including collating data from a plurality of data sources into a first data repository; identifying, using a machine-learning model, class clusters and relationship clusters of the collated data in the first data repository; generating a domain-specific semantic model as a graph-structured data model based on the identified class clusters and relationship clusters; generating a data object model using the domain-specific semantic model and the collated data in the first data repository; creating a first domain-specific knowledge graph by associating the data object model with the domain-specific semantic model; creating a cross-domain analytics knowledge graph for deriving insights involving cross-domain analytics by merging the first domain-specific knowledge graph with a second domain-specific knowledge graph created from a second data repository; and deriving insights corresponding to performance of one or more of an asset or a process in a facility based on utilization of the cross-domain analytics knowledge graph.
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88.
公开(公告)号:US11941597B2
公开(公告)日:2024-03-26
申请号:US17948076
申请日:2022-09-19
申请人: Kenneth L. Sherman
发明人: Kenneth L. Sherman
CPC分类号: G06Q20/145 , G06Q20/12 , G06Q20/28 , G06Q50/184 , H04N7/15 , G06F3/04842 , G06N5/02
摘要: One embodiment provides a method comprising generating a first graphical user interface (GUI) for display on an electronic device. The first GUI comprises data indicative of at least one professional service available for selection. The method comprises receiving, from the electronic device, a request to initiate a professional service selected from the first GUI. The method further comprises generating a second GUI for display on the electronic device. The second GUI comprises a customized questionnaire for collecting information relevant to the professional service selected. The method further comprises receiving, from the electronic device, user responses to the customized questionnaire, and initiating an analysis of the user responses. A communication indicative of the analysis is forwarded to the electronic device.
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89.
公开(公告)号:US20240095088A1
公开(公告)日:2024-03-21
申请号:US17949459
申请日:2022-09-21
申请人: Simnang IP, LLC
CPC分类号: G06F9/5072 , G06F9/44505 , G06F9/5077 , G06N5/027
摘要: Systems, methods, and computer-readable storage media to model exchanges of a capacity plan with configuration parameters and to provide a plurality of configuration parameters for individual exchanges included in a capacity plan. One system includes a communication network interface, a memory, and one or more processors. The memory to store a plurality of containers corresponding to the capacity plan, a ledger to broadcast exchanges associated with the capacity plan, and control structures to model exchanges with the configuration parameters of a given sub-ledger of the plurality of sub-ledgers. The one or more processors generate the plurality of containers and receive and broadcast exchanges.
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公开(公告)号:US11934961B2
公开(公告)日:2024-03-19
申请号:US16747698
申请日:2020-01-21
申请人: Apple Inc.
发明人: Christine B. McGavran , Bradford A. Moore , Gregory D. Bolsinga , Michael P. Dal Santo , Lukas Marti , Seejo K. Pylappan , Marcel van Os
IPC分类号: G06N5/02 , G01C21/36 , G06N5/022 , G06N20/00 , G06Q10/109 , H04L67/02 , H04L67/10 , H04L67/50 , H04L67/52 , H04W4/02
CPC分类号: G06N5/02 , G01C21/3617 , G01C21/362 , G01C21/3691 , G06N5/022 , G06N20/00 , G06Q10/109 , H04L67/02 , H04L67/10 , H04L67/52 , H04L67/535 , H04W4/025
摘要: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.
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