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公开(公告)号:US11641422B2
公开(公告)日:2023-05-02
申请号:US17346384
申请日:2021-06-14
发明人: Jeremy Goodsitt , Galen Rafferty , Reza Farivar , Vincent Pham , Anh Truong , Mark Watson , Austin Walters
摘要: Aspects described herein may allow for deploying third-party callback to be performed on a mobile device. For example, the mobile device may configure a third-party callback to be performed after a triggering event is detected by a remote device. The triggering event may relate to a remote device associated with the mobile device. A determination may be made as to whether the mobile device is within a pre-determined proximity of the remote device. If the two devices are in proximity and if the mobile device receives a message that indicates the triggering event has been detected, the mobile device may perform the third-party callback. In this way, a user's need to request services conveniently and accurately is facilitated.
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公开(公告)号:US11615208B2
公开(公告)日:2023-03-28
申请号:US16151407
申请日:2018-10-04
发明人: Anh Truong , Fardin Abdi Taghi Abad , Jeremy Goodsitt , Austin Walters , Mark Watson , Vincent Pham , Noriaki Tatsumi , Michael Walters , Kate Key , Reza Farivar , Kenneth Taylor
IPC分类号: G06N3/08 , G06N5/00 , G06N5/02 , G06F21/62 , G06N20/00 , G06F9/54 , G06F17/16 , G06N3/04 , G06F11/36 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06N3/088 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06K9/62 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06V10/70 , G06V10/98 , G06V30/194 , G06V30/196
摘要: A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.
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公开(公告)号:US11580212B2
公开(公告)日:2023-02-14
申请号:US17010917
申请日:2020-09-03
发明人: Galen Rafferty , Mark Watson , Jeremy Goodsitt , Anh Truong , Austin Walters , Vincent Pham
IPC分类号: G06F15/16 , G06F17/00 , G06F21/40 , G06N20/00 , G06N5/04 , G06F21/60 , G06F21/36 , G06F21/31 , G06F21/32
摘要: Methods and systems disclosed herein describe using machine learning to lock and unlock a device. Machine learning may be trained to recognize one or more features. Once the device has been trained to recognize one or more features, a user may define an unlock condition for the device using the one or more trained features. After defining the unlock condition, the device may be locked by verifying the one or more features that the user defined as the unlock condition using machine learning. When verification is successful, the device may be unlocked and the user allowed to access the device.
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公开(公告)号:US11562390B2
公开(公告)日:2023-01-24
申请号:US16811111
申请日:2020-03-06
发明人: Kate Key , Kenneth Taylor , Mark Watson , Jeremy Goodsitt , Vincent Pham , Anh Truong , Austin Walters , Fardin Abdi Taghi Abad
摘要: An exemplary system, method and computer-accessible medium can include receiving information regarding a purchase by a person, receiving financial account information regarding a financial account associated with the person that was used to fund the purchase, generating rewards information associated with the purchase, generating an authentication token(s) based on the financial account information, sending the rewards information and the authentication token(s) over a network, and receiving a confirmation, over the network, that a rewards account associated with the person has been updated.
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公开(公告)号:US11562252B2
公开(公告)日:2023-01-24
申请号:US16946426
申请日:2020-06-22
发明人: Austin Walters , Jeremy Goodsitt , Anh Truong
摘要: Systems and methods for classifying data are disclosed. For example, a system may include at least one memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving training data comprising a class. The operations may include training a data classification model using the training data to generate a trained data classification model. The operations may include receiving additional data comprising labeled samples of an additional class not contained in the training data. The operations may include creating a synthetic data generator. The operations may include training the synthetic data generator to generate synthetic data corresponding to the additional class. The operations may include generating a synthetic classified dataset comprising the additional class. The operations may include retraining the trained data classification model using the synthetic classified dataset.
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公开(公告)号:US20230005042A1
公开(公告)日:2023-01-05
申请号:US17365311
申请日:2021-07-01
发明人: Kate Key , Anh Truong , Jeremy Goodsitt , Galen Rafferty , Austin Walters , Vincent Pham
IPC分类号: G06Q30/06 , G06Q30/02 , G06F16/245 , G06F16/29 , G01C21/34
摘要: Aspects described herein may relate to methods, systems, and apparatuses that provide new capabilities for recommending purchases to a user based on the user's past purchasing history and the purchase history of others. A new descriptor referred to as “purchase embeddings” is disclosed, which are data records in a new multi-dimensional space for describing and tracking purchases of goods and services.
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公开(公告)号:US11501074B2
公开(公告)日:2022-11-15
申请号:US17004728
申请日:2020-08-27
发明人: Jeremy Goodsitt , Austin Walters , Anh Truong
IPC分类号: G06F40/295
摘要: Methods, systems, and computing devices for visualizing natural language processing algorithm processes are described herein. A plurality of categories may be determined. Each color of a plurality of colors may correspond to the categories. Text content may be processed using a natural language processing algorithm. Confidence values indicating, for each of a plurality of portions of the text content, a degree of confidence corresponding to one or more of the plurality of categories may be determined. Display colors may be determined based on the confidence values. A user interface comprising a visualization of the text content may be displayed, and the user interface may be configured to show each portion of the text content using a display color such that the user interface indicates changes in confidence across the plurality of characters.
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公开(公告)号:US20220353467A1
公开(公告)日:2022-11-03
申请号:US17868948
申请日:2022-07-20
发明人: Anh Truong , Reza Farivar , Jeremy Edward Goodsitt , Kate Key , Vincent Pham , Galen Rafferty , Austin Walters
摘要: Systems and methods for dynamically concealing sensitive information in a shared screen session of a video conference are disclosed. The system may establish communication with one or more computing devices active in a video conference in which each computing device may switch between a screen share mode and a video mode. The system may determine that one or more articles of sensitive information are visible in a graphical user interface associated with a first computing device of the plurality of computing devices. The system may receive a first signal from the first computing device that indicates a first intent of a host associated with the first computing device to switch the screen share mode which includes sharing the first graphical user interface with the one or more computing devices during the video conference. In response to the first signal, the system may execute one or more privacy actions.
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公开(公告)号:US11461403B2
公开(公告)日:2022-10-04
申请号:US16920870
申请日:2020-07-06
发明人: Austin Walters , Jeremy Goodsitt , Mark Watson , Anh Truong
IPC分类号: G06F16/903 , G06F16/22 , G06F16/901 , G06N20/00
摘要: A system includes one or more processors configured to execute the instructions to perform a method for determining the ordered sequence. In the method, a dataset is retrieved from a database. The dataset comprises a data matrix comprising a plurality of elements or cells arranged in a set of rows and columns. The dataset is partitioned into a plurality of frames comprising a first subset of the set of rows and columns, the plurality of frames being in a sequential order. A machine learning algorithm to the dataset to predict contents of a next frame in the sequential order. Comparing the predicted contents of the next frame with actual contents of the next frame to determine a prediction accuracy value, and if the prediction accuracy value of the predicted contents exceeds a first threshold level, storing the predicted contents of the next frame.
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公开(公告)号:US20220253951A1
公开(公告)日:2022-08-11
申请号:US17173909
申请日:2021-02-11
发明人: Anh Truong , Galen Rafferty , Jeremy Goodsitt , Vincent Pham , Austin Walters , Alvin Hua
IPC分类号: G06Q40/00 , G06Q30/00 , G06F16/2455 , G06F40/279
摘要: Methods, systems, and apparatuses for correlating electronic communications related to financial transactions. A computing device may receive a first communication related to an update to a past financial transaction. The computing device may identify a second communication by querying, based on the first communication, a communications database. The first communication and second communication may be correlated using one or more natural language processing algorithms. Based on correlating the first communication and second communication, the computing device may identify a portion of the second communication corresponding to the at least one good or service of the past financial transaction by processing, using the one or more natural language processing algorithms, the second communication. The computing device may then cause output of data indicating a correlation between the first communication and the second communication, and the indication of the change to the at least one good or service.
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