Patents by Inventor Nathan O'Connor
Nathan O'Connor 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: 20240365887Abstract: A garment in the form of a removable bra pad incorporating a support structure is disclosed. A garment designed to be placed inside the cups of a bra to provide additional coverage, support, or shaping and to be easily removed and reinserted in the bra includes a bra pad and a support structure having a cord-like material attached to the perimeter of the bra pad.Type: ApplicationFiled: May 3, 2023Publication date: November 7, 2024Inventor: Nathan O'Leary
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Patent number: 12078398Abstract: A condenser charge module is configured to: determine a first amount of refrigerant in each condenser of one or more condensers of a refrigeration system; determine a total condenser amount of refrigerant based on the one or more first amounts. An evaporator charge module is configured to: determine a second amount of refrigerant in each evaporator of two or more evaporators of the refrigeration system; and determine a total evaporator amount of refrigerant based on the two or more second amounts. A line charge module is configured to: determine a third amount of refrigerant in each refrigerant line of multiple refrigerant lines of the refrigeration system; and determine a total line amount of refrigerant based on the multiple third amounts. A total module is configured to determine a total amount of refrigerant in the refrigeration system based on the total condenser, the total evaporator, and the total line amounts.Type: GrantFiled: October 5, 2021Date of Patent: September 3, 2024Assignee: Copeland LPInventors: Andrew Welch, Nathan O. Boyce
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Patent number: 11926642Abstract: The invention relates to compounds of formula I wherein R1, R2 and - - - - - are as defined herein, pharmaceutical compositions comprising the compounds and methods of treating COVID-19 in a patient by administering therapeutically effective amounts of the compounds and methods of inhibiting or preventing replication of SARS-CoV-2 with the compounds.Type: GrantFiled: July 1, 2021Date of Patent: March 12, 2024Assignee: Pfizer inc.Inventors: Robert Steven Kania, Padmavani Bezawada, Emma Louise Hawking, Rohit Jaini, Samir Kulkarni, Matthew Nathan O'Brien Laramy, Jonathan Richard Lillis, Suman Luthra, Dafydd Rhys Owen, Klimentina Dimitrova Pencheva, Anil Mahadeo Rane, Matthew Forrest Sammons, Bradley Paul Sullivan, Andrew John Thiel, Martyn David Ticehurst, Jamison Bryce Tuttle, Robert Louis Hoffman
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Patent number: 11809959Abstract: In this disclosure, quantum algorithms are presented for simulating Hamiltonian time-evolution e?i(A+B)t in the interaction picture of quantum mechanics on a quantum computer. The interaction picture is a known analytical tool for separating dynamical effects due to trivial free-evolution A from those due to interactions B. This is especially useful when the energy-scale of the trivial component is dominant, but of little interest. Whereas state-of-art simulation algorithms scale with the energy ?A+B???A?+?B? of the full Hamiltonian, embodiments of the disclosed approach generally scale linearly with the sum of the Hamiltonian coefficients from the low-energy component B and poly-logarithmically with those from A.Type: GrantFiled: April 12, 2019Date of Patent: November 7, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Guang Hao Low, Nathan O. Wiebe
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Patent number: 11783222Abstract: A method of training a quantum computer employs quantum algorithms. The method comprises loading, into the quantum computer, a description of a quantum Boltzmann machine, and training the quantum Boltzmann machine according to a protocol, wherein a classification error is used as a metric for the protocol.Type: GrantFiled: June 19, 2019Date of Patent: October 10, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Nathan O. Wiebe, Alexei Bocharov, Paul Smolensky, Matthias Troyer, Krysta Svore
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Patent number: 11699087Abstract: In this disclosure, quantum algorithms are presented for simulating Hamiltonian time-evolution e?i(A+B)t in the interaction picture of quantum mechanics on a quantum computer. The interaction picture is a known analytical tool for separating dynamical effects due to trivial free-evolution A from those due to interactions B. This is especially useful when the energy-scale of the trivial component is dominant, but of little interest. Whereas state-of-art simulation algorithms scale with the energy ?A+B???A?+?B? of the full Hamiltonian, embodiments of the disclosed approach generally scale linearly with the sum of the Hamiltonian coefficients from the low-energy component B and poly-logarithmically with those from A.Type: GrantFiled: April 12, 2019Date of Patent: July 11, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Guang Hao Low, Nathan O. Wiebe
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Publication number: 20230157998Abstract: The invention relates to methods of treating COVID-19 in a patient by administering therapeutically effective amounts of certain SARS-CoV-2 inhibitor compounds or pharmaceutical compositions containing them to a patient in need thereof.Type: ApplicationFiled: March 3, 2021Publication date: May 25, 2023Applicant: Pfizer Inc.Inventors: Padmavani Bezawada, Benjamin Joseph Burke, Emma Louise Hawking, Robert Louis Hoffman, Robert Steven Kania, Jonathan Richard Lillis, Matthew Nathan O'Brien Laramy, Klimentina Dimitrova Pencheva, Bradley Paul Sullivan, Andrew John Thiel, Martyn David Ticehurst
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Patent number: 11649997Abstract: A sensor control system includes: a refrigerant leak sensor configured to, when powered, measure an amount of a refrigerant present in air outside of a heat exchanger of a refrigeration system, where the heat exchanger is located within a building that is at least one of heated and cooled by the refrigeration system; and a power control module configured to one of: continuously power the refrigerant leak sensor; and disconnect the refrigerant leak sensor from power when a blower that moves air past the heat exchanger is on.Type: GrantFiled: September 29, 2020Date of Patent: May 16, 2023Assignee: Emerson Climate Technologies, Inc.Inventors: David Alfano, Stuart K. Morgan, Hung M. Pham, Nathan O. Boyce
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Patent number: 11644416Abstract: An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., ?-helix, ?-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.Type: GrantFiled: February 19, 2021Date of Patent: May 9, 2023Assignee: NotCo Delaware, LLCInventors: Nathan O'Hara, Adil Yusuf, Julia Christin Berning, Francisca Villanueva, Rodrigo Contreras, Isadora Nun, Aadit Patel, Karim Pichara
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Patent number: 11640549Abstract: Methods for preparing a Gibbs state in a qubit register of a quantum computer include applying one or more quantum gates to one or more qubits of the qubit register to prepare a trial quantum state spanning the one or more qubits, the trial quantum state being defined as a function of parameters {right arrow over (?)} and being selected to provide an initial estimate of the Gibbs state. The methods further include evaluating the Gibbs free energy of the trial quantum state, adjusting the parameters {right arrow over (?)}, re-applying the one or more quantum gates to the one or more qubits to refine the trial quantum state according to the parameters {right arrow over (?)} as adjusted, and re-evaluating the Gibbs free energy of the trial quantum state.Type: GrantFiled: April 30, 2019Date of Patent: May 2, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Guang Hao Low, Nathan O. Wiebe, Anirban Ch Narayan Chowdhury
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Publication number: 20230119066Abstract: This disclosure provides isolated antibodies, for example, monoclonal antibodies, that specifically bind to the C-C Motif Chemokine Receptor 8 (CCR8) expressed on the surface of a cell and mediate depletion of the CCR8-expressing cell by anti-body-dependent cellular cytotoxicity (ADCC). The disclosure provides methods for treating a subject afflicted with a cancer comprising administering to the subject a therapeutically effective amount of an anti-CCR8 antibody as monotherapy or in combination with an anti-cancer agent such as an immune checkpoint inhibitor, for example, an anti-PD-1 or anti-PD-L1 antibody.Type: ApplicationFiled: March 22, 2021Publication date: April 20, 2023Inventors: Ruth Yin-Zong Lan, Olufemi A. Adelakun, Ishita Barman, Joseph Campbell, SJ Jian Zhe Diong, Felix Findeisen, Danielle M. Greenawalt, Renu Jain, Amy D. Jhatakia, John K. Lee, Peter S.K. Lee, Linda Liang, Kai Lu, Bryan McDonald, Paul Mesko, Arvind Rajpal, Sharmila Sambanthamoorthy, Mark J. Selby, Nathan O. Siemers, Pavel Strop, Gaby A. Terracina, Xi-Tao Wang
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Publication number: 20230109334Abstract: A condenser charge module is configured to: determine a first amount of refrigerant in each condenser of one or more condensers of a refrigeration system; determine a total condenser amount of refrigerant based on the one or more first amounts. An evaporator charge module is configured to: determine a second amount of refrigerant in each evaporator of two or more evaporators of the refrigeration system; and determine a total evaporator amount of refrigerant based on the two or more second amounts. A line charge module is configured to: determine a third amount of refrigerant in each refrigerant line of multiple refrigerant lines of the refrigeration system; and determine a total line amount of refrigerant based on the multiple third amounts. A total module is configured to determine a total amount of refrigerant in the refrigeration system based on the total condenser, the total evaporator, and the total line amounts.Type: ApplicationFiled: October 5, 2021Publication date: April 6, 2023Applicant: Emerson Climate Technologies, Inc.Inventors: Andrew WELCH, Nathan O. BOYCE
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Publication number: 20230099733Abstract: An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., ?-helix, ?-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.Type: ApplicationFiled: November 28, 2022Publication date: March 30, 2023Inventors: Nathan O'Hara, Adil Yusuf, Julia Christin Berning, Francisca Villanueva, Rodrigo Contreras, Isadora Nun, Aadit Patel, Karim Pichara
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Publication number: 20230021736Abstract: Techniques to generate experiment trials using artificial intelligence are disclosed. A training set for an experiment generator is continuously built up by using assessed experiment trials. The experiment generator is optimized using one of a plurality of optimization algorithms, depending on which mode experiment generator is to run in for an experiment. The mode is dependent on the experiment mode of the experiment. The experiment generator generates a batch of one or more experiment trials for the experiment. Any of the generated experiment trials may be tried or experimented by a user and may be updated with assessment data as an assessed experiment trial.Type: ApplicationFiled: September 29, 2022Publication date: January 26, 2023Inventors: Kyohei Kaneko, Yoav Navon, Isadora Nun, Aadit Patel, Nathan O'Hara, Eugenio Herrera, Ofer Philip Korsunsky, Karim Pichara
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Publication number: 20220406417Abstract: Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.Type: ApplicationFiled: April 5, 2022Publication date: December 22, 2022Inventors: Kyohei Kaneko, Nathan O'Hara, Isadora Nun, Aadit Patel, Kavitakumari Solanki, Karim Pichara
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Patent number: 11533600Abstract: A method for detecting and distributing alert data based upon both receiving alert data encoded in a terrestrial television broadcast transmission and receiving an identification of a location of a device includes receiving, by a first device in a plurality of devices in a mesh network, a terrestrial broadcast signal including at least one datacast packet. A second device in the plurality of devices receives a satellite transmission identifying a location of the second device. The method includes confirming, by a notification engine executed by a third device in the plurality of devices in the mesh network, receipt of both the satellite transmission and alert data encoded in the terrestrial broadcast signal. The method includes activating, by the notification engine, at least one alert module in the mesh network, upon confirmation of the receipt of both the satellite transmission and the alert data encoded in the terrestrial broadcast signal.Type: GrantFiled: May 1, 2020Date of Patent: December 20, 2022Assignee: West Pond Technologies, LLCInventors: Steven D. Hastings, Nathan O. Ford
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Patent number: 11514350Abstract: Techniques to generate experiment trials using artificial intelligence are disclosed. A training set for an experiment generator is continuously built up by using assessed experiment trials. The experiment generator is optimized using one of a plurality of optimization algorithms, depending on which mode experiment generator is to run in for an experiment. The mode is dependent on the experiment mode of the experiment. The experiment generator generates a batch of one or more experiment trials for the experiment. Any of the generated experiment trials may be tried or experimented by a user and may be updated with assessment data as an assessed experiment trial.Type: GrantFiled: May 4, 2021Date of Patent: November 29, 2022Assignee: NotCo Delaware, LLCInventors: Kyohei Kaneko, Yoav Navon, Isadora Nun, Aadit Patel, Nathan O'Hara, Eugenio Herrera, Ofer Philip Korsunsky, Karim Pichara
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Publication number: 20220358387Abstract: Techniques to generate experiment trials using artificial intelligence are disclosed. A training set for an experiment generator is continuously built up by using assessed experiment trials. The experiment generator is optimized using one of a plurality of optimization algorithms, depending on which mode experiment generator is to run in for an experiment. The mode is dependent on the experiment mode of the experiment. The experiment generator generates a batch of one or more experiment trials for the experiment. Any of the generated experiment trials may be tried or experimented by a user and may be updated with assessment data as an assessed experiment trial.Type: ApplicationFiled: May 4, 2021Publication date: November 10, 2022Inventors: Kyohei Kaneko, Yoav Navon, Isadora Nun, Aadit Patel, Nathan O'Hara, Eugenio Herrera, Ofer Philip Korsunsky, Karim Pichara
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Publication number: 20220195046Abstract: The disclosure provides a method for treating a subject afflicted with a tumor comprising administering to the subject a therapeutically effective amount of an anti-PD-1 antibody or antigen-binding portion thereof or an anti-PD-L1 antibody or anti-gen-binding portion thereof, wherein the subject is identified as having a high inflammatory gene signature score and a tumor that has a high tumor mutation burden (TMB) status. In some embodiments, the high inflammatory gene signature score is determined by measuring the expression of a panel of inflammatory genes in a tumor sample obtained from the subject, wherein the inflammatory gene panel comprises CD274 (PD-L1), CD8A, LAG3, and STAT1.Type: ApplicationFiled: March 27, 2020Publication date: June 23, 2022Applicant: Bristol-Myers Squibb CompanyInventors: Ming LEI, Nathan O. SIEMERS, Dimple PANDYA, Han CHANG, Teresa K. SANCHEZ, Christopher T. HARBISON, Peter M. SZABO, Zachary S. BOYD, Xiaozhong QIAN, Samy Abdel SACI, Tina C. YOUNG, Sujaya SRINIVASAN, Megan M. WIND-ROTOLO, Jasmine RIZZO, Donald G. JACKSON, Alice M. WALSH
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Patent number: 11348664Abstract: Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.Type: GrantFiled: June 17, 2021Date of Patent: May 31, 2022Assignee: NotCo Delaware, LLCInventors: Kyohei Kaneko, Nathan O'Hara, Isadora Nun, Aadit Patel, Kavitakumari Solanki, Karim Pichara