-
公开(公告)号:US20200012933A1
公开(公告)日:2020-01-09
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
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.
-
公开(公告)号:US20230297446A1
公开(公告)日:2023-09-21
申请号:US18321370
申请日:2023-05-22
发明人: Anh TRUONG , Fardin ABDI TAGHI ABAD , Jeremy GOODSITT , Austin WALTERS , Mark WATSON , Vincent PHAM , Kate KEY , Reza FARIVAR , Kenneth TAYLOR
IPC分类号: G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/088 , G06F21/62 , 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 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02 , G06V30/196 , G06F18/22 , G06F18/23 , G06F18/24 , G06F18/40 , G06F18/213 , G06F18/214 , G06F18/21 , G06F18/20 , G06F18/2115 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N7/01 , G06V30/194 , G06V10/98 , G06V10/70 , G06N3/08
CPC分类号: G06F9/541 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/3628 , G06N3/088 , G06F21/6254 , G06N5/04 , G06F17/15 , G06F21/6245 , G06T7/194 , G06T7/254 , G06T7/246 , G06T7/248 , G06F16/24568 , G06F16/2237 , G06F16/285 , G06F16/906 , G06F16/93 , G06F16/90335 , G06F16/9038 , G06F16/90332 , G06F16/258 , G06F16/288 , G06F16/283 , G06F16/335 , G06F16/2264 , G06F16/2423 , G06F16/248 , G06F16/254 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F9/54 , G06F9/547 , G06F11/3608 , G06F11/3636 , G06F17/18 , G06F21/552 , G06F21/60 , G06N7/00 , G06Q10/04 , G06T11/001 , H04L63/1416 , H04L63/1491 , H04L67/306 , H04L67/34 , H04N21/23412 , H04N21/8153 , G06N5/00 , G06N5/02 , G06V30/1985 , G06F18/22 , G06F18/23 , G06F18/24 , G06F18/40 , G06F18/213 , G06F18/214 , G06F18/217 , G06F18/285 , G06F18/2115 , G06F18/2148 , G06F18/2193 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N7/01 , G06V30/194 , G06V10/993 , G06V10/768 , G06N3/08 , G06T2207/20084 , G06T2207/10016 , G06T2207/20081
摘要: Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.
-
公开(公告)号:US20230050601A1
公开(公告)日:2023-02-16
申请号:US17979257
申请日:2022-11-02
发明人: Kenneth TAYLOR , Austin Grant WALTERS , Jeremy Edward GOODSITT , Fardin ABDI TAGHI ABAD , Reza FARIVAR , Vincent PHAM , Anh TRUONG
IPC分类号: H04N21/235 , G06F16/48 , H04L9/06 , H04N21/845 , H04L9/00
摘要: Disclosed are examples for providing functions to receive a media file to be stored in a media repository. In the examples, a location in the media repository may be assigned to the media file. A media file address in a blockchain platform may be assigned to the media file. Metadata including the assigned location in the media repository and the assigned media file address in the blockchain platform may be added to the media file. A media file hash value may be generated by applying a hash function to the media file including the metadata. The media file hash value may be included in a message and uploaded to the assigned media file address in the blockchain platform as a transaction in the blockchain. An indication that the media file is uploaded to the media repository may be delivered to a subscriber device from which the media file was received.
-
14.
公开(公告)号:US20210304214A1
公开(公告)日:2021-09-30
申请号:US16828713
申请日:2020-03-24
发明人: Fardin Abdi Taghi ABAD , Kate KEY , Vincent PHAM , Kenneth TAYLOR , Mark WATSON , Reza FARIVAR , Anh TRUONG , Jeremy GOODSITT , Austin WALTERS
摘要: Systems and methods are presented for establishing secure transactions among a group of transacting parties through use of multi-party computation including garbled circuits. The system uses a set of distributed garbled circuit servers, each having a garbled circuit module, to collectively and securely perform a transactional function, such that any party only has access to its own input and output. Each garbled circuit module may receive input financial data for a transacting party and financial data for at least one other transacting party, and perform an operation to obtain output financial data. The operation may relate to a function for determining a plurality of financial transactions among the plurality of transacting parties.
-
公开(公告)号:US20210183069A1
公开(公告)日:2021-06-17
申请号:US17249378
申请日:2021-03-01
发明人: Reza FARIVAR , Kenneth TAYLOR
摘要: A method may include identifying a first image for training a deep learning network, wherein the first image includes at least one target object associated with at least one location in the first image, and wherein the first image is associated with a mask image; determining a set of deformations to create a training set of deformed images, wherein the training set is to be used to train the deep learning network; generating the training set of deformed images by applying the set of deformations to the first image; and generating a set of deformed mask images by applying the set of deformations to the mask image, wherein each deformed image of the training set of deformed images is associated with a respective mask image to identify the location of the at least one target object in each deformed image.
-
公开(公告)号:US20210120285A9
公开(公告)日:2021-04-22
申请号:US16457670
申请日:2019-06-28
发明人: Austin WALTERS , Vincent PHAM , Kate KEY , Kenneth TAYLOR , Anh TRUONG , Fardin ABDI TAGHI ABAD , Jeremy GOODSITT
IPC分类号: H04N21/234 , G06N3/08 , H04N21/81 , G06T7/246 , G06T7/254
摘要: Systems and methods for generating synthetic video are disclosed. For example, a system may include a memory unit and a processor configured to execute the instructions to perform operations. The operations may include receiving video data, normalizing image frames, generating difference images, and generating an image sequence generator model. The operations may include training an autoencoder model using difference images, the autoencoder comprising an encoder model and a decoder model. The operations may include identifying a seed image frame and generating a seed difference image from the seed image frame. The operations may include generating, by the image sequence generator model, synthetic difference images based on the seed difference image. In some aspects, the operations may include using the decoder model to synthetic normalized image frames from the synthetic difference images. The operations may include generating synthetic video by adding background to the synthetic normalized image frames.
-
公开(公告)号:US20210037270A1
公开(公告)日:2021-02-04
申请号:US17063843
申请日:2020-10-06
发明人: Kenneth TAYLOR , Austin Grant WALTERS , Jeremy Edward GOODSITT , Fardin ABDI TAGHI ABAD , Reza FARIVAR , Vincent PHAM , Anh TRUONG
IPC分类号: H04N21/235 , H04N21/845 , G06F16/48 , H04L9/06
摘要: Disclosed are examples for providing functions to receive a media file to be stored in a media repository. In the examples, a location in the media repository may be assigned to the media file. A media file address in a blockchain platform may be assigned to the media file. Metadata including the assigned location in the media repository and the assigned media file address in the blockchain platform may be added to the media file. A media file hash value may be generated by applying a hash function to the media file including the metadata. The media file hash value may be included in a message and uploaded to the assigned media file address in the blockchain platform as a transaction in the blockchain. An indication that the media file is uploaded to the media repository may be delivered to a subscriber device from which the media file was received.
-
公开(公告)号:US20210019389A1
公开(公告)日:2021-01-21
申请号:US17060834
申请日:2020-10-01
发明人: Kate KEY , Anh TRUONG , Jeremy GOODSITT , Kenneth TAYLOR , Reza FARIVAR , Mark WATSON , Fardin Abdi Taghi ABAD , Austin WALTERS , Vincent PHAM
摘要: A secure method for resetting the password for an account is disclosed. During the setup of the account, the user can provide the service provider with a media file, and when the user asks the service provider to reset the password for the account, the user will be prompted with several media files. The user can be asked to identify the media file that the user provided to the service provider at the time of the setup of the account. If the user properly identifies the media file, the password will be reset.
-
公开(公告)号:US20210012346A1
公开(公告)日:2021-01-14
申请号:US16507147
申请日:2019-07-10
发明人: Austin WALTERS , Jeremy GOODSITT , Fardin Abdi Taghi ABAD , Reza FARIVAR , Vincent PHAM , Kenneth TAYLOR , Mark WATSON
IPC分类号: G06Q20/40 , G06F16/901
摘要: A method for detecting fraud is provided in which a graph database of transaction relationships is constructed using transaction information for a plurality of transactions. Using the graph database, a plurality of account holder identifiers are associated into an account holder group. When transaction information for a new transaction associated with a transaction account holder identifier is received, a determination is made as to whether the transaction account holder identifier is in the account holder group. Responsive to a determination that the transaction account holder identifier is included in the account holder group, the new transaction information is compared to the transaction information for the account holder group and a fraud factor is determined for the new transaction. The fraud factor is indicative of a degree of similarity to the transaction information of the account holder group.
-
公开(公告)号:US20200334301A1
公开(公告)日:2020-10-22
申请号:US16388793
申请日:2019-04-18
发明人: Austin WALTERS , Jeremy GOODSITT , Vincent PHAM , Mark WATSON , Fardin Abdi TAGHI ABAD , Reza FARIVAR , Anh TRUONG , Kenneth TAYLOR
IPC分类号: G06F16/951 , G06N20/00 , G06F11/34 , G06N3/08
摘要: A computer-implemented method includes tracking, by a computing device, user browsing activity of a first page having known elements; mapping, by the computing device, the user browsing activity to the known elements; storing, by the computing device, mapping information that maps the user browsing activity to the known elements; tracking, by the computing device, user browsing activity of a second page having unknown elements; identifying, by the computing device, the unknown elements based on the mapping information and the user browsing activity of the second page; and executing, by the computing device, one or more computer-based instructions based on the determining the unknown elements that were identified.
-
-
-
-
-
-
-
-
-