Patents by Inventor Jean Joseph
Jean Joseph 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: 20240139738Abstract: According to the disclosure, a target analyte detection cartridge includes a sample chamber into which sample is inserted, a metering chamber connected to the sample chamber to meter a predetermined amount of sample, a mixing chamber connected to the metering chamber to receive a magnet bead, and a waste chamber connected to the metering chamber. The metering chamber has one side connected to each of the sample chamber and the mixing chamber and another side connected to the waste chamber. A first pneumatic flow path to which pneumatic pressure is provided is connected to a waste flow path that joins the other side of the metering chamber to connect the metering chamber and the waster chamber.Type: ApplicationFiled: October 28, 2022Publication date: May 2, 2024Inventors: Huw John Joseph CARISBROOKE, Anthony Joseph STANTE, Stuart J KNOWLES, Thomas Sanelli CRUGNALE, Guillaume Jean Francois STANGUENNEC, Walson LAWI, Robert FAHEY, Cameron Douglas KELLER
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Patent number: 11957773Abstract: A hair conditioner composition containing an aqueous carrier, from about 2.5 wt % to about 6.7 wt % of a behenamidopropyl dimethylamine, from about 3 wt % to about 8 wt % of a fatty alcohol; and less than 1.5 wt % of a salt. The molar ratio of behenamidopropyl dimethylamine to fatty alcohol can be from about 7:50 to about 4:5. The conditioner composition can have a uniform gel network. The composition can have d-spacing of less than 32 nm, as measured according to the d-spacing (L?-basal spacing) of Lamella Gel Network Test Method.Type: GrantFiled: December 1, 2020Date of Patent: April 16, 2024Assignee: The Procter & Gamble CompanyInventors: Jean Jianqun Zhao, Lauren Elizabeth Ballhaus, Heather Lynn Focht, David Joseph Kaufman, Christina Marie McQueen, Deborah Mulligan, Lina Aurora Witte
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Patent number: 11933246Abstract: An aircraft turbojet engine extending along an X axis and comprising a blower configured to provide a reverse thrust and a nacelle comprising an air intake which comprises at least one deflection member movably mounted between a deployed position in which the deflection member projects from the inner wall or from the lip of the air intake in a radially inward direction of deployment facing the X axis or in a longitudinal direction of deployment with respect to the X axis, in order to allow a release of the reverse air flow from the inner wall to support the reverse thrust phase, and a retracted position in which the air intake has an aerodynamic profile so as to guide the internal air flow along the inner wall in order to support the thrust phase.Type: GrantFiled: April 8, 2020Date of Patent: March 19, 2024Assignee: SAFRAN AIRCRAFT ENGINESInventors: Daniel-Ciprian Mincu, Jean-Loïc Hervé Lecordix, Nicolas Joseph Sirvin, Frédéric Dautreppe, Anthony Binder, Eva Julie Lebeault
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Patent number: 11911218Abstract: A diagnostic ultrasound system has a 2D array transducer which is operated with 1×N patches, patches which are only a single element wide. The “N” length of the patches extends in the elevation direction of a scanned 2D image plane, with the single element width extending in the lateral (azimuth) direction. Focusing is done along each patch in the elevation direction by a microbeamformer, and focusing in the lateral (azimuth) direction is done by the system beamformer. The minimal width of each patch in the azimuth direction enables the production of images highly resolved in the azimuthal plane of a 2D image, including the reception of highly resolved multilines for high frame rate imaging.Type: GrantFiled: March 28, 2017Date of Patent: February 27, 2024Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Man Nguyen, Jean-Luc Robert, Ramon Quido Erkamp, Sheng-Wen Huang, Bernard Joseph Savord, Emil George Radulescu
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Patent number: 11893520Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.Type: GrantFiled: June 7, 2022Date of Patent: February 6, 2024Assignee: Cerebri AI Inc.Inventors: Gabriel Mauricio Silberman, Alain Charles Briancon, Lee David Harper, Luke Philip Reding, David Alexander Curry, Jean Joseph Belanger, Michael Thomas Wegan, Thejas Narayana Prasad
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Publication number: 20240013314Abstract: Provided is a process including: writing, with a computing system, a first plurality of classes using object-oriented modelling of modelling methods; writing, with the computing system, a second plurality of classes using object-oriented modelling of governance; scanning, with the computing system, a set of libraries collectively containing both modelling object classes among the first plurality of classes and governance classes among the second plurality of classes to determine class definition information; using, with the computing system, at least some of the class definition information to produce object manipulation functions, wherein the object manipulation functions allow a governance system to access methods and attributes of classes among first plurality of classes or the second plurality of classes to manipulate objects of at least some of the modelling object classes; and using at least some of the class definition information to effectuate access to the object manipulation functions.Type: ApplicationFiled: August 28, 2023Publication date: January 11, 2024Inventors: Alain Charles Briancon, Jean Joseph Belanger, Chris Michael Coovrey, Thejas Narayana Prasad, Mirza Safiullah Baig
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Patent number: 11798221Abstract: In a graphics processing system comprising a graphics processor, a main memory, and a memory management unit, when rendering a frame that represents a view of a scene comprising one or more objects using a ray tracing process and the ray tracing process requires a traversal of a ray tracing acceleration data structure indicative of the distribution of geometry for the scene being rendered to determine geometry for the scene that may be intersected by a ray, at least part of the traversal of the ray tracing acceleration data structure is performed by the memory management unit (MMU).Type: GrantFiled: October 27, 2021Date of Patent: October 24, 2023Assignee: Arm LimitedInventors: Daren Croxford, Mathieu Jean Joseph Robart, Sharjeel Saeed
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Publication number: 20230334580Abstract: Provided is a process including: writing modelling-object classes using object-oriented modelling of the modelling methods, the modelling-object classes being members of a set of class libraries; writing quality-management classes using object-oriented modelling of quality management, the quality-management classes being members of the set of class libraries; scanning modelling-object classes in the set of class libraries to determine modelling-object class definition information; scanning quality-management classes in the set of class libraries to determine quality-management class definition information; using the modelling-object class definition information and the quality-management class definition information to produce object manipulation functions that allow a quality management system to access methods and attributes of modelling-object classes to manipulate objects of the modelling-object classes; and using the modelling-object class definition information and the quality-management class definitioType: ApplicationFiled: January 6, 2023Publication date: October 19, 2023Inventors: Alain Charles Briancon, Jean Joseph Belanger, Chris Michael Coovrey, Travis Stanton Penn, Divya Karumuri, Valisis Sotiris
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Patent number: 11783375Abstract: Provided is a process, including: obtaining a first training dataset, training a first machine-learning model on the first training dataset, obtaining a set of candidate question sequences, forming virtual subject-entity records, forming a second training dataset, training a second machine-learning model, and storing the adjusted parameters of the second machine-learning model in memory.Type: GrantFiled: July 8, 2022Date of Patent: October 10, 2023Assignee: Cerebri AI Inc.Inventors: Alain Charles Briancon, Jean Joseph Belanger, James Cvetan Stojanov, Christopher Michael Coovrey, Pranav Mahesh Makhijani, Gregory Klose, Max Changchun Huang, Mounib Mohamad Ismail, Michael Henry Engeling, Hongshi Li
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Patent number: 11776060Abstract: Provided is a process including: writing, with a computing system, a first plurality of classes using object-oriented modelling of modelling methods; writing, with the computing system, a second plurality of classes using object-oriented modelling of governance; scanning, with the computing system, a set of libraries collectively containing both modelling object classes among the first plurality of classes and governance classes among the second plurality of classes to determine class definition information; using, with the computing system, at least some of the class definition information to produce object manipulation functions, wherein the object manipulation functions allow a governance system to access methods and attributes of classes among first plurality of classes or the second plurality of classes to manipulate objects of at least some of the modelling object classes; and using at least some of the class definition information to effectuate access to the object manipulation functions.Type: GrantFiled: June 3, 2020Date of Patent: October 3, 2023Assignee: Cerebri AI Inc.Inventors: Alain Charles Briancon, Jean Joseph Belanger, Chris Michael Coovrey, Thejas Narayana Prasad, Mirza Safiullah Baig
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Publication number: 20230206124Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.Type: ApplicationFiled: December 21, 2022Publication date: June 29, 2023Inventors: Gabriel Mauricio Silberman, Alain Charles Briancon, Lee David Harper, Luke Philip Reding, David Alexander Curry, Jean Joseph Belanger, Michael Thomas Wegan, Thejas Narayana Prasad
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Publication number: 20230151466Abstract: A hot rolled steel strip, in particular an HSLA hot rolled steel strip, in which Nb and Ti are used as micro-alloying elements.Type: ApplicationFiled: March 12, 2021Publication date: May 18, 2023Applicant: TATA STEEL IJMUIDEN B.V.Inventors: Jean Joseph CAMPANIELLO, Calum McEWAN, Jaap TEYHOFF, Natalia Vadimovna LUZGINOVA
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Publication number: 20230126531Abstract: In a graphics processing system comprising a graphics processor, a main memory, and a memory management unit, when rendering a frame that represents a view of a scene comprising one or more objects using a ray tracing process and the ray tracing process requires a traversal of a ray tracing acceleration data structure indicative of the distribution of geometry for the scene being rendered to determine geometry for the scene that may be intersected by a ray, at least part of the traversal of the ray tracing acceleration data structure is performed by the memory management unit (MMU).Type: ApplicationFiled: October 27, 2021Publication date: April 27, 2023Applicant: Arm LimitedInventors: Daren Croxford, Mathieu Jean Joseph Robart, Sharjeel Saeed
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Publication number: 20230101487Abstract: Provided is a process, including: obtaining a first training dataset, training a first machine-learning model on the first training dataset, obtaining a set of candidate question sequences, forming virtual subject-entity records, forming a second training dataset, training a second machine-learning model, and storing the adjusted parameters of the second machine-learning model in memory.Type: ApplicationFiled: July 8, 2022Publication date: March 30, 2023Inventors: Alain Charles Briancon, Jean Joseph Belanger, James Cvetan Stojanov, Christopher Michael Coovrey, Pranav Mahesh Makhijani, Gregory Klose, Max Changchun Huang, Mounib Mohamad Ismail, Michael Henry Engeling, Hongshi Li
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Patent number: 11615271Abstract: Provided is a process of modeling methods organized in racks of a machine learning pipeline to facilitate optimization of performance using modelling methods for implementation of machine learning design in an object-oriented modeling (OOM) framework, the process including: writing classes using object-oriented modelling of optimization methods, modelling methods, and modelling racks; writing parameters and hyper-parameters of the modeling methods as attributes as the modeling methods; scanning modelling racks classes to determine first class definition information; selecting a collection of rack and selecting modeling method objects; scanning modelling method classes to determine second class definition information; assigning racks and locations within the racks to modeling method objects; and invoking the class definition information to produce object manipulation functions that allow access the methods and attributes of at least some of the modeling method objects, the manipulation functions being configurType: GrantFiled: June 3, 2020Date of Patent: March 28, 2023Assignee: Cerebri AI Inc.Inventors: Eyal Ben Zion, Alain Charles Briancon, Pranav Mahesh Makhijani, Thejas Narayana Prasad, Sara Amini, Jian Deng, Ngoc Thu Nguyen, Jean Joseph Belanger
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Publication number: 20230080773Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.Type: ApplicationFiled: June 7, 2022Publication date: March 16, 2023Inventors: Gabriel Mauricio Silberman, Alain Charles Briancon, Lee David Harper, Luke Philip Reding, David Alexander Curry, Jean Joseph Belanger, Michael Thomas Wegan, Thejas Narayana Prasad
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Patent number: 11599752Abstract: Provided is a process including: writing modelling-object classes using object-oriented modelling of the modelling methods, the modelling-object classes being members of a set of class libraries; writing quality-management classes using object-oriented modelling of quality management, the quality-management classes being members of the set of class libraries; scanning modelling-object classes in the set of class libraries to determine modelling-object class definition information; scanning quality-management classes in the set of class libraries to determine quality-management class definition information; using the modelling-object class definition information and the quality-management class definition information to produce object manipulation functions that allow a quality management system to access methods and attributes of modelling-object classes to manipulate objects of the modelling-object classes; and using the modelling-object class definition information and the quality-management class definitioType: GrantFiled: June 3, 2020Date of Patent: March 7, 2023Assignee: Cerebri AI Inc.Inventors: Alain Charles Briancon, Jean Joseph Belanger, Chris Michael Coovrey, Travis Stanton Penn, Divya Karumuri, Valisis Sotiris
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Patent number: 11556846Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.Type: GrantFiled: October 3, 2019Date of Patent: January 17, 2023Assignee: Cerebri AI Inc.Inventors: Gabriel Mauricio Silberman, Alain Charles Briancon, Lee David Harper, Luke Philip Reding, David Alexander Curry, Jean Joseph Belanger, Michael Thomas Wegan, Thejas Narayana Prasad
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Publication number: 20220392147Abstract: An instruction (or set of instructions) that can be included in a program to perform a ray tracing acceleration data structure traversal, with individual execution threads in a group of execution threads executing the program performing a traversal operation for a respective ray in a corresponding group of rays such that the group of rays performing the traversal operation together. The instruction(s), when executed by the execution threads in respect of a node of the ray tracing acceleration data structure, cause one or more rays from the group of plural rays that are performing the traversal operation together to be tested for intersection with the one or more volumes associated with the node being tested. A result of the ray-volume intersection testing can then be returned for the traversal operation.Type: ApplicationFiled: June 4, 2022Publication date: December 8, 2022Inventors: Richard BRUCE, William Robert STOYE, Mathieu Jean Joseph ROBART
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Publication number: 20220392145Abstract: An instruction, or set of instructions, that can be included in a program to perform a ray tracing acceleration data structure traversal, with individual execution threads in a group of execution threads executing the program performing a traversal operation for a respective ray in a corresponding group of rays such that the group of rays performing the traversal operation together. The instruction(s), when executed by the execution threads in respect of a node of the ray tracing acceleration data structure, cause one or more rays from the group of plural rays that are performing the traversal operation together to be tested for intersection with the one or more volumes associated with the node being tested. A result of the ray-volume intersection testing can then be returned for the traversal operation.Type: ApplicationFiled: June 3, 2022Publication date: December 8, 2022Inventors: Richard BRUCE, William Robert STOYE, Mathieu Jean Joseph ROBART