Patents Assigned to Graphen, Inc.
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Patent number: 11861704Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to personal shopping for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.Type: GrantFiled: April 12, 2022Date of Patent: January 2, 2024Assignee: Graphen, Inc.Inventors: Ching-Yung Lin, Danny Lo-Tien Yeh, Yizhou Shen, Yihan Wang, Yuting An, Xinwei Li
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Patent number: 11822574Abstract: A system for providing an artificially-intelligent graph database is disclosed. The graph database has significant graph computing capabilities, which are facilitated through the integration of artificial intelligence into the graph database. The capabilities are enabled through the use of unique artificially-intelligent agents that are each responsible for a subgraph of a graph of the graph database. Each artificially-intelligent agent performs computations on the graph-structured data in each subgraph that each agent is responsible for managing. The artificially-intelligent agents may work cohesively together to provide artificial intelligence capabilities to the entire graph database. The graph database may optimize itself through intelligent local management by using the agents.Type: GrantFiled: October 4, 2019Date of Patent: November 21, 2023Assignee: Graphen, Inc.Inventors: Hal J. Cooper, Ching-Yung Lin, Danny Lo-Tien Yeh, Matthieu L. Gavaudan
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Patent number: 11599840Abstract: A system, method, and computer readable device that detects hidden correlation relationships among entities, such as companies and/or individuals is presented. A dataset that corresponds to a predefined set of correlation relationships of these companies and/or individuals may be collected. The dataset may be stored in a graph database and a machine learning system may be built using features computed from the graph database. At least a new pair of companies or a new pair of an individual and a company may be evaluated. The system, method, and/or computer readable device may determine whether a hidden correlation relationship exists between them.Type: GrantFiled: February 25, 2019Date of Patent: March 7, 2023Assignee: Graphen, Inc.Inventors: Lishui Cheng, Ching-Yung Lin, Jie Lu, Danny Lo-Tien Yeh
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Publication number: 20220237429Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to personal shopping for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.Type: ApplicationFiled: April 12, 2022Publication date: July 28, 2022Applicant: Graphen, Inc.Inventors: Ching-Yung Lin, Danny Lo-Tien Yeh, Yizhou Shen, Yihan Wang, Yuting An, Xinwei Li
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Patent number: 11301746Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to an investment strategy for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.Type: GrantFiled: December 28, 2018Date of Patent: April 12, 2022Assignee: Graphen, Inc.Inventors: Ching-Yung Lin, Danny Lo-Tien Yeh, Yizhou Shen, Yihan Wang, Yuting An, Xinwei Li
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Patent number: 11126659Abstract: A system for providing a graph protocol for forming a decentralized and distributed graph database is disclosed. The system involves receiving, from a device, a bid request to generate a graph on a graph protocol network via the graph protocol. A plurality of masternodes in the system may transmit ask requests associated with providing storage and computation power to service the bid request. If the system determines that the requirements of the bid request match or correlate with the requirements of the ask request, the system may select any masternodes having matching or correlating ask requests to service the ask request. The system may then arrange the masternodes into a unique artificially-intelligent router of the graph protocol network. The system may then proceed to generate the graph on the graph protocol network by utilizing the masternodes of the router and may process any queries associated with the generated graph.Type: GrantFiled: December 24, 2018Date of Patent: September 21, 2021Assignee: Graphen, Inc.Inventors: Matthieu L. Gavaudan, Peiqi Jin, Yang Yang, Ching-Yung Lin, Hal J. Cooper
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Publication number: 20200201910Abstract: A system for providing a graph protocol for forming a decentralized and distributed graph database is disclosed. The system involves receiving, from a device, a bid request to generate a graph on a graph protocol network via the graph protocol. A plurality of masternodes in the system may transmit ask requests associated with providing storage and computation power to service the bid request. If the system determines that the requirements of the bid request match or correlate with the requirements of the ask request, the system may select any masternodes having matching or correlating ask requests to service the ask request. The system may then arrange the masternodes into a unique artificially-intelligent router of the graph protocol network. The system may then proceed to generate the graph on the graph protocol network by utilizing the masternodes of the router and may process any queries associated with the generated graph.Type: ApplicationFiled: December 24, 2018Publication date: June 25, 2020Applicant: Graphen, Inc.Inventors: Matthieu L. Gavaudan, Peiqi Jin, Yang Yang, Ching-Yung Lin, Hal J. Cooper
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Publication number: 20200110761Abstract: A system for providing an artificially-intelligent graph database is disclosed. The graph database has significant graph computing capabilities, which are facilitated through the integration of artificial intelligence into the graph database. The capabilities are enabled through the use of unique artificially-intelligent agents that are each responsible for a subgraph of a graph of the graph database. Each artificially-intelligent agent performs computations on the graph-structured data in each subgraph that each agent is responsible for managing. The artificially-intelligent agents may work cohesively together to provide artificial intelligence capabilities to the entire graph database. The graph database may optimize itself through intelligent local management by using the agents.Type: ApplicationFiled: October 4, 2019Publication date: April 9, 2020Applicant: Graphen, Inc.Inventors: Hal J. Cooper, Ching-Yung Lin, Danny Lo-Tien Yeh, Matthieu L. Gavaudan
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Publication number: 20190266528Abstract: A system, method, and computer readable device that detects hidden correlation relationships among entities, such as companies and/or individuals is presented. A dataset that corresponds to a predefined set of correlation relationships of these companies and/or individuals may be collected. The dataset may be stored in a graph database and a machine learning system may be built using features computed from the graph database. At least a new pair of companies or a new pair of an individual and a company may be evaluated. The system, method, and/or computer readable device may determine whether a hidden correlation relationship exists between them.Type: ApplicationFiled: February 25, 2019Publication date: August 29, 2019Applicant: Graphen, Inc.Inventors: Lishui Cheng, Ching-Yung Lin, Jie Lu, Danny Lo-Tien Yeh
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Publication number: 20190205727Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to an investment strategy for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.Type: ApplicationFiled: December 28, 2018Publication date: July 4, 2019Applicant: Graphen, Inc.Inventors: Ching-Yung Lin, Danny Lo-Tien Yeh, Yizhou Shen, Yihan Wang, Yuting An, Xinwei Li, Xiaodong Wang