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公开(公告)号：US20220366231A1
公开(公告)日：2022-11-17
申请号：US17241790
申请日：2021-04-27
发明人： Yada Zhu , Sijia Liu , Aparna Gupta , Sai Radhakrishna Manikant Sarma Palepu , Koushik Kar , Lucian Popa , Kumar Bhaskaran , Nitin Gaur
摘要： A graph neural network can be built and trained to predict a risk of an entity. A multi-relational graph network can include a first graph network and a second graph network. The first graph network can include a first set of nodes and a first set of edges connecting some of the nodes in the first set. The second graph network can include a second set of nodes and a second set of edges connecting some of the nodes in the second set. The first set of nodes and the second set of nodes can represent entities, the first set of edges can represent a first relationship between the entities and the second set of edges can represent a second relationship between the entities. A graph convolutional network (GCN) can be structured to incorporate the multi-relational graph network, and trained to predict a risk associated with a given entity.
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公开(公告)号：US11880893B2
公开(公告)日：2024-01-23
申请号：US16872415
申请日：2020-05-12
发明人： Jonathan Lenchner , Kumar Bhaskaran , Reha Yurdakul , Toby Kurien
CPC分类号： G06Q50/01 , G06Q10/10 , H04B5/0031
摘要： A method, computer system, and a computer program product for energy efficient data exchange is provided. The present invention may include a first electronic card device (ECD) including a first switch and a second switch. The present invention may include the first switch being configured to power on the first ECD responsive to the first ECD engaging a second ECD. The present invention may include the first ECD being configured to exchange data with the second ECD. The present invention may include a docking component configured to receive the first ECD. The present invention may include the docking component including an actuator configured to engage the second switch to power on the first ECD when the first ECD is received by the docking component. The present invention may include the first ECD configured to transfer received data from the second ECD to a mobile device associated with the docking component.
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公开(公告)号：US20220121921A1
公开(公告)日：2022-04-21
申请号：US17074054
申请日：2020-10-19
发明人： Pin-Yu Chen , Yada Zhu , Jinjun Xiong , Kumar Bhaskaran , Yunan Ye , Bo Li
IPC分类号： G06N3/08 , G06Q40/06 , G06Q10/10 , G06F40/279
摘要： A processor training a reinforcement learning model can include receiving a first dataset representing an observable state in reinforcement learning to train a machine to perform an action. The processor receives a second dataset. Using the second dataset, the processor trains a machine learning classifier to make a prediction about an entity related to the action. The processor extracts an embedding from the trained machine learning classifier, and augments the observable state with the embedding to create an augmented state. Based on the augmented state, the processor trains a reinforcement learning model to learn a policy for performing the action, the policy including a mapping from state space to action space.
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公开(公告)号：US20210358053A1
公开(公告)日：2021-11-18
申请号：US16872415
申请日：2020-05-12
发明人： Jonathan Lenchner , Kumar Bhaskaran , REHA YURDAKUL , Toby Kurien
摘要： A method, computer system, and a computer program product for energy efficient data exchange is provided. The present invention may include a first electronic card device (ECD) including a first switch and a second switch. The present invention may include the first switch being configured to power on the first ECD responsive to the first ECD engaging a second ECD. The present invention may include the first ECD being configured to exchange data with the second ECD. The present invention may include a docking component configured to receive the first ECD. The present invention may include the docking component including an actuator configured to engage the second switch to power on the first ECD when the first ECD is received by the docking component. The present invention may include the first ECD configured to transfer received data from the second ECD to a mobile device associated with the docking component.
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公开(公告)号：US11604994B2
公开(公告)日：2023-03-14
申请号：US16523314
申请日：2019-07-26
发明人： Yada Zhu , Yang Zhang , Pin-Yu Chen , Kumar Bhaskaran
摘要： Methods and systems for explainable machine learning are described. In an example, a processor can receive a data set from a plurality of data sources corresponding to a plurality of domains. The processor can train a machine learning model to learn a plurality of vectors that indicate impact of the plurality of domains on a plurality of assets. The machine learning model can be operable to generate forecasts relating to performance metrics of the plurality of assets based on the plurality of vectors. In some examples, the machine learning model can be a neural attention network with shared hidden layers.
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公开(公告)号：US11386496B2
公开(公告)日：2022-07-12
申请号：US16523546
申请日：2019-07-26
发明人： Yada Zhu , Giovanni Mariani , Kumar Bhaskaran , Rong N. Chang
IPC分类号： G06Q20/00 , G06Q40/06 , G06F16/904 , G06N3/04
摘要： A deep-learning neural network can be trained to model a probability distribution of the asset-price trends for a future time period using a training data set, which can include asset-price trends of a plurality of assets over a past time period and a latent vector sampled from a prior distribution associated with the asset-price trends of a plurality of assets. The training data set can represent a time series data. A portfolio optimization can be executed on the modeled probability distribution to estimate expected risks and returns for different portfolio diversification options.
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公开(公告)号：US10789204B2
公开(公告)日：2020-09-29
申请号：US15965877
申请日：2018-04-28
发明人： Lawrence D. Bergman , Kumar Bhaskaran , Winnie W. Cheng , Robert A. Flavin , Milton H. Hernandez , Hai Huang , Ravi B. Konuru , Yaoping Ruan , Sambit Sahu
IPC分类号： H04L9/00 , G06F16/00 , G06F16/215 , H04L29/08 , G06F21/55
摘要： Access is obtained to a plurality of intermediately transformed electronic documents (with a plurality of sections and subsections) which have been transformed, by topical analysis and text summarization techniques, from a plurality of original electronic documents comprising at least some unstructured electronic documents. Audit and retrieval agent code is appended to the sections and subsections to create a plurality of finally transformed electronic documents. Users are allowed to access the finally transformed electronic documents. The users are provided with accountability reminders contemporaneous with the access. The access of the users to the sections and subsections of the finally transformed electronic documents is logged. An audit report is provided based on the logging. Also provided is a cloud service for enterprise-level sensitive data protection with variable data granularity, using one or more one guest virtual machine images.
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公开(公告)号：US12093245B2
公开(公告)日：2024-09-17
申请号：US16852312
申请日：2020-04-17
IPC分类号： G06N20/00 , G06F16/23 , G06F16/901 , G06Q20/40
CPC分类号： G06F16/2379 , G06F16/9024 , G06N20/00 , G06Q20/4016
摘要： A method for improving computing efficiency of a computing device for temporal directed cycle detection in a transaction graph includes preparing the transaction graph based on a plurality of transactions, the transaction graph including nodes indicating transaction origination points and transaction destination points, and edges indicating interactions between the nodes. Irrelevant nodes in the transaction graph are identified and pruned to provide a pruned, preprocessed transaction graph which can be partitioning into sections, where each section includes selected nodes that are linked to other linked nodes therein. Each of the sections having non-cyclic nodes can be trimmed prior to performing cycle detection on the resulting pruned transaction graph. Postprocessing pruning can be performed to further reduce the number of detected cycles that may be of interest to a particular application, such as in anti-money laundering.
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9.发明公开公开(公告)号：US20240202053A1
公开(公告)日：2024-06-20
申请号：US18068738
申请日：2022-12-20
发明人： Rong Nickle Chang , Kumar Bhaskaran
CPC分类号： G06F9/547 , H04L41/5058
摘要： A method, computer program product, and computer system for performing an Application Programming Interface (API) service using zone-based topics within a publish/subscribe (pub/sub) messaging infrastructure. An API service request sent by a client entity is received and specifies an API service to be fulfilled. A selection of an API service endpoint configured to execute the API service is received. Messages are posted to respective pub/sub zone-based topics, resulting in selection of workers subscribed to the respective zone-based topics. Each zone-based topic includes tasks to be performed in a specified one or more zones. For each zone-based topic, the tasks of the zone-based topic are implemented by executing the worker selected for the zone-based topic. The tasks of the zone-based topics include invoking the API service endpoint for the requested API service and making a fulfillment result of the API service available to the client entity.
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公开(公告)号：US11880765B2
公开(公告)日：2024-01-23
申请号：US17074054
申请日：2020-10-19
发明人： Pin-Yu Chen , Yada Zhu , Jinjun Xiong , Kumar Bhaskaran , Yunan Ye , Bo Li
IPC分类号： G06Q30/00 , G06N3/08 , G06F40/279 , G06Q40/06
CPC分类号： G06N3/08 , G06F40/279 , G06Q40/06
摘要： A processor training a reinforcement learning model can include receiving a first dataset representing an observable state in reinforcement learning to train a machine to perform an action. The processor receives a second dataset. Using the second dataset, the processor trains a machine learning classifier to make a prediction about an entity related to the action. The processor extracts an embedding from the trained machine learning classifier, and augments the observable state with the embedding to create an augmented state. Based on the augmented state, the processor trains a reinforcement learning model to learn a policy for performing the action, the policy including a mapping from state space to action space.
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