Patents by Inventor Andrew Cohen
Andrew Cohen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240135081Abstract: The disclosed computer-implemented method may include accessing various antenna elements and identifying parameters for an antenna that is to be formed using the accessed antenna elements. The method may also include assembling the antenna elements, using an artificial intelligence (AI) instance, into an assembled antenna that at least partially complies with the identified parameters. Various other methods, systems, and computer-readable media are also disclosed.Type: ApplicationFiled: October 18, 2022Publication date: April 25, 2024Inventors: Weiping Dou, Jiang Zhu, Yuandong Tian, Andrew Cohen, Ulf Jan-Ove Mattsson, Peter Eli Renner, Yang Zhong, Xiaomeng Yang, Geng Ye
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Patent number: 11962483Abstract: Systems and methods for application performance management across one or more networks are disclosed. A system includes a plurality of geographically distributed computing devices executing one or more applications. A plurality of collectors are distributed across the one or more networks, each collector being positioned proximate a respective computing device. The collectors may sample, by each of the plurality of collectors, a plurality of trace events received from the applications executing on the computing devices proximate the collector. The collectors may retain in memory sampled trace events that meet a configurable attribute. The collectors may use probabilistic sets and tail-based sampling to determine root events and policies for identifying relevant traces. Benefits can be achieved in bandwidth savings, network cost and cyber security.Type: GrantFiled: September 7, 2022Date of Patent: April 16, 2024Assignee: Elasticsearch B.V.Inventors: Andrew Wilkins, Ron Cohen
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Patent number: 11935111Abstract: A consumer is identified at a transaction terminal. A natural-language voice chatbot is initiated for the transaction. The chatbot is configured with store information for a store associated with the terminal and, optionally, with preferences registered to the consumer. A natural language voice dialogue using, at least the store information, is initiated between the chatbot and the consumer while the consumer is at the terminal and during the transaction. The consumer may order store items from the store and pay for the items through the dialogue. In an embodiment, the items ordered are delivered to the terminal where the consumer is located.Type: GrantFiled: April 30, 2021Date of Patent: March 19, 2024Assignee: NCR Voyix CorporationInventors: Matthew Robert Burris, Shelby Frances Apps, Andrew Cohen, Gary C. Dalton, Jason Robert Dyer, Jodessiah Sumpter
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Publication number: 20240062077Abstract: Disclosed is a method for generating a prediction model. The model can be used in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include extracting event features from event codes and structuring the event features into feature vectors. A first dimension of a first feature vector corresponds to a first event feature, and a second dimension of the first feature vector corresponds to a second event feature. The method can also include generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.Type: ApplicationFiled: October 31, 2023Publication date: February 22, 2024Applicant: ABB Schweiz AGInventors: Andrew Cohen, Marcel Dix
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Patent number: 11836636Abstract: Disclosed is a computer-implemented method for generating a prediction model. The model can be for use in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include: extracting event features from event codes and structuring the event features into feature vectors; and generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters being assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.Type: GrantFiled: June 18, 2019Date of Patent: December 5, 2023Assignee: ABB Schweiz AGInventors: Andrew Cohen, Marcel Dix
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Publication number: 20230169342Abstract: The present technology addresses the problem of quickly and safely improving policies in online reinforcement learning domains. As its solution, an exploration strategy comprising diverse exploration (DE) is employed, which learns and deploys a diverse set of safe policies to explore the environment. DE theory explains why diversity in behavior policies enables effective exploration without sacrificing exploitation. An empirical study shows that an online policy improvement algorithm framework implementing the DE strategy can achieve both fast policy improvement and safe online performance.Type: ApplicationFiled: January 30, 2023Publication date: June 1, 2023Inventors: Lei Yu, Andrew Cohen
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Publication number: 20230098979Abstract: The present disclosure provides methods and systems for managing medications by releasing them on a controlled access or schedule. The methods and systems may comprise the use of a pill release device. The pill release device may comprise a substrate comprising one or more containers, a cover configured to rest adjacent to one or more walls of the container, a fluid source in fluid communication with the cover, and circuitry operably coupled to the fluid source. The circuitry may send one or more electrical signals which may cause the fluid source to move a fluid to or away from the cover. The movement of the fluid may seal or unseal the over against the one or more walls, which may permit the pill to be received by or dispensed from the container.Type: ApplicationFiled: February 18, 2021Publication date: March 30, 2023Applicant: Incaveo, Inc.Inventors: Andrew Cohen, Hoyman Hong
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Patent number: 11593963Abstract: The present invention relates to tracking objects. Specifically, the present invention relates to determining the position and/or location of styli from image data. Aspects and/or embodiments seek to provide a method for determining an orientation and/or a position of a cylindrical object from image data using a single viewpoint.Type: GrantFiled: March 13, 2019Date of Patent: February 28, 2023Assignee: MASSLESS CORP.Inventors: Jack Andrew Cohen, Dominic Jason Hosler
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Publication number: 20230050321Abstract: A method for generating a process model modeling a manual mode procedure instance of a plant process includes providing log events of operational actions; selecting related sequences of manual mode operational actions from the log events; filtering the related sequences according to an individual plant section; identifying a sequential order from the filtered related sequences; determining statistical properties of values of related process variables and/or statistical properties of values of related set point changes to each sequential ordered manual mode operational action from the filtered related sequences; generating the process model of the manual mode procedure instance by arranging related manual mode operational actions with the sequential order of each operational action assigned with the statistical properties of the values of related process variables and/or assigned with the statistical properties of the values of the related set point changes.Type: ApplicationFiled: October 31, 2022Publication date: February 16, 2023Applicant: ABB Schweiz AGInventors: Benedikt Schmidt, Marcel Dix, Martin Hollender, Andrew Cohen, Arzam Muzaffar Kotriwala, Marco Gaertler, Sylvia Maczey, Benjamin Kloepper
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Patent number: 11568236Abstract: The present technology addresses the problem of quickly and safely improving policies in online reinforcement learning domains. As its solution, an exploration strategy comprising diverse exploration (DE) is employed, which learns and deploys a diverse set of safe policies to explore the environment. DE theory explains why diversity in behavior policies enables effective exploration without sacrificing exploitation. An empirical study shows that an online policy improvement algorithm framework implementing the DE strategy can achieve both fast policy improvement and safe online performance.Type: GrantFiled: January 24, 2019Date of Patent: January 31, 2023Assignee: The Research Foundation for The State University of New YorkInventors: Lei Yu, Andrew Cohen
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Patent number: 11238859Abstract: A natural-language voice chatbot is initiated and a voice session is established between the chatbot and a customer while the customer is operating a vehicle device within a vehicle. A pre-staged order is taken from a customer during the session and the session is suspended until the customer arrives at a store associated with the pre-staged order. A location-based trigger is raised when the customer is detected as being present at a transaction terminal of a store; the session is resumed on the transaction terminal and/or the vehicle device. The pre-stage order is confirmed during the resumed session and payment is obtained from the customer for the order when payment was not already obtained from the customer. The order is sent to a fulfillment station and, in an embodiment, the items associated with the order are delivered to the customer while the customer remains at the terminal.Type: GrantFiled: June 28, 2019Date of Patent: February 1, 2022Assignee: NCR CorporationInventors: Matthew Robert Burris, Shelby Frances Apps, Andrew Cohen, Gary C. Dalton, Jason Robert Dyer, Jodessiah Sumpter
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Publication number: 20210249017Abstract: A consumer is identified at a transaction terminal. A natural-language voice chatbot is initiated for the transaction. The chatbot is configured with store information for a store associated with the terminal and, optionally, with preferences registered to the consumer. A natural language voice dialogue using, at least the store information, is initiated between the chatbot and the consumer while the consumer is at the terminal and during the transaction. The consumer may order store items from the store and pay for the items through the dialogue. In an embodiment, the items ordered are delivered to the terminal where the consumer is located.Type: ApplicationFiled: April 30, 2021Publication date: August 12, 2021Inventors: Matthew Robert Burris, Shelby Frances Apps, Andrew Cohen, Gary C. Dalton, Jason Robert Dyer, Jodessiah Sumpter
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Patent number: 11069356Abstract: A computer system for controlling a dialogue between a user and the computer system, the computer system being communicatively coupled with an industrial control system controlling an industrial system, the computer system including: an interface for receiving intent inputs representing a respective desired interaction with the computer system; an intent determination module for determining the desired interactions of received intent inputs; a data storage for storing one or more directed graphs, each graph specifying an industrial control domain specific dialogue, a particular graph defining a dialogue state machine with a plurality of nodes representing states of the dialogue, and with edges representing transitions between the states, each state transition from a first state to a second state depending on at least one precondition, the desired interaction of a received intent input corresponding to a target node to be reached from a current node of the particular graph.Type: GrantFiled: August 10, 2020Date of Patent: July 20, 2021Assignee: ABB SCHWEIZ AGInventors: Andrew Cohen, Benedikt Schmidt, Benjamin Kloepper, Marco Gaertler, Arzam Kotriwala, Marcel Dix, Sylvia Maczey
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Patent number: 11069354Abstract: A consumer is identified at a transaction terminal. A natural-language voice chatbot is initiated for the transaction. The chatbot is configured with store information for a store associated with the terminal and, optionally, with preferences registered to the consumer. A natural language voice dialogue using, at least the store information, is initiated between the chatbot and the consumer while the consumer is at the terminal and during the transaction. The consumer may order store items from the store and pay for the items through the dialogue. In an embodiment, the items ordered are delivered to the terminal where the consumer is located.Type: GrantFiled: May 30, 2019Date of Patent: July 20, 2021Assignee: NCR CorporationInventors: Matthew Robert Burris, Shelby Frances Apps, Andrew Cohen, Gary C. Dalton, Jason Robert Dyer, Jodessiah Sumpter
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Publication number: 20210209189Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.Type: ApplicationFiled: March 22, 2021Publication date: July 8, 2021Inventors: Moncef Chioua, Matthieu Lucke, Emanuel Kolb, Martin Hollender, Nuo Li, Andrew Cohen
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Publication number: 20210182738Abstract: Some embodiments provide systems and methods associated with an industrial asset. An ensemble of learners (e.g., base learner models) may comprise a digital twin that corresponds to the industrial asset. A learning agent platform (e.g., associated with reinforcement learning), coupled to the ensemble of learners, may manage the ensemble by receiving information about current operation of the industrial asset. The platform may then apply learning to the received information and generate data that modifies the ensemble of learners (e.g., by adding, pruning, and/or modifying models in the ensemble). In some embodiments, a boosting scheme may be employed to enhance decision making by the learning agent platform (e.g., a learner's voting weight might be inversely proportional to its error on a previous batch of information).Type: ApplicationFiled: December 17, 2019Publication date: June 17, 2021Inventors: Paul ARDIS, Andrew Cohen, Weizhong YAN
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Publication number: 20210166684Abstract: A computer system for controlling a dialogue between a user and the computer system, the computer system being communicatively coupled with an industrial control system controlling an industrial system, the computer system including: an interface for receiving intent inputs representing a respective desired interaction with the computer system; an intent determination module for determining the desired interactions of received intent inputs; a data storage for storing one or more directed graphs, each graph specifying an industrial control domain specific dialogue, a particular graph defining a dialogue state machine with a plurality of nodes representing states of the dialogue, and with edges representing transitions between the states, each state transition from a first state to a second state depending on at least one precondition, the desired interaction of a received intent input corresponding to a target node to be reached from a current node of the particular graph.Type: ApplicationFiled: August 10, 2020Publication date: June 3, 2021Inventors: Andrew Cohen, Benedikt Schmidt, Benjamin Kloepper, Marco Gaertler, Arzam Kotriwala, Marcel Dix, Sylvia Maczey
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Publication number: 20210149385Abstract: An apparatus for alarm information determination includes: an input unit; a processing unit; and an output unit. The input unit provides the processing unit with historical process control data, the process control data including a plurality of data signals, a plurality of alarm data, and data relating to an event of interest. The processing unit determines a plurality of correlation scores for the plurality of data signals paired with the plurality of alarm data, a correlation score being determined for a data signal paired with an alarm data, a high correlation score indicating a higher degree of correlation than a low correlation score. The processing unit identifies at least one first alarm data from the plurality of alarm data, the identification including utilization of the data relating to the event of interest.Type: ApplicationFiled: January 27, 2021Publication date: May 20, 2021Inventors: Andrew Cohen, Martin Hollender, Nuo Li, Moncef Chioua, Matthieu Lucke
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Publication number: 20210110556Abstract: The present invention relates to tracking objects. Specifically, the present invention relates to determining the position and/or location of styli from image data. Aspects and/or embodiments seek to provide a method for determining an orientation and/or a position of a cylindrical object from image data using a single viewpoint.Type: ApplicationFiled: March 13, 2019Publication date: April 15, 2021Applicant: MASSLESS CORP.Inventors: Jack Andrew Cohen, Dominic Jason Hosler
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Patent number: D1025075Type: GrantFiled: July 11, 2022Date of Patent: April 30, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, Marine C. Bataille, Jeremy Bataillou, Eric Wesley Bates, Mu-Hua Cheng, Sawyer Isaac Cohen, Markus Diebel, Richard Hung Minh Dinh, M. Evans Hankey, Julian Hoenig, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Hugh J. Jay, Duncan Robert Kerr, Peter Russell-Clarke, Benjamin Andrew Shaffer, Mikael Silvanto, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang, Rico Zörkendörfer