Patents by Inventor Steven Ross

Steven Ross 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).

  • Publication number: 20250123022
    Abstract: A wall cap includes a plate and an intake pipe extending from one side of the plate. One or more plate walls extend from the other side of the plate. The wall cap further includes an extension member that engages with the plate walls. The engagement of the extension member with the plate walls may be through the engagement of tabs (on the engagement member) with protrusions (on the plate walls). The extension member includes markings at pre-set intervals. The markings assist in allowing for the extension member to be cut to accommodate different thicknesses of the wall. The wall cap further includes a hood assembly for attachment to the extension member.
    Type: Application
    Filed: October 14, 2024
    Publication date: April 17, 2025
    Inventors: Steven Ross Schulz, Terry Burdett
  • Publication number: 20240200811
    Abstract: A vent assembly for venting air from ducting of an air conditioning unit through a wall includes an outer portion and an inner portion. The outer portion is attached to an exterior surface of the wall and includes a frame, a hood, and a back portion. The frame engages with the exterior surface of the wall. The hood extends from the frame and includes an upper surface and a pair of opposed side walls. The upper surface extends from the frame. The side walls extend from the frame and are connected to the upper surface. The back portion is attached to the hood and includes a back wall and a damper. The back wall has a back opening. The damper extends across and covers the back opening. The damper is connected to the back wall to allow for hinged movement of the damper with respect to the back wall. The inner portion is attached to the outer portion and extends through the wall. The inner portion includes a pipe connected to the back portion and is aligned with the back opening.
    Type: Application
    Filed: December 14, 2023
    Publication date: June 20, 2024
    Inventors: Steven Ross SCHULZ, Chuon SEM
  • Publication number: 20240144095
    Abstract: A method for rejecting biased data using a machine learning model includes receiving a cluster training data set including a known unbiased population of data and training a clustering model to segment the received cluster training data set into clusters based on data characteristics of the known unbiased population of data. Each cluster of the cluster training data set includes a cluster weight. The method also includes receiving a training data set for a machine learning model and generating training data set weights corresponding to the training data set for the machine learning model based on the clustering model. The method also includes adjusting each training data set weight of the training data set weights to match a respective cluster weight and providing the adjusted training data set to the machine learning model as an unbiased training data set.
    Type: Application
    Filed: January 5, 2024
    Publication date: May 2, 2024
    Applicant: Google LLC
    Inventors: Christopher Farrar, Steven Ross
  • Publication number: 20230273923
    Abstract: Implementations relate to providing, in response to a query, machine learning model output that is based on output from a trained machine learning model. The machine learning model output can include a predicted answer to the query, that is predicted based on the trained machine learning model. The machine learning model output can additionally or alternatively include an interactive interface for the trained machine learning model. Some implementations relate to generating a trained machine learning model “on the fly” based on a search query. Some implementations additionally or alternatively relate to storing, in a search index, an association of a machine learning model with a plurality of content items from resource(s) on which the machine learning model was trained.
    Type: Application
    Filed: April 6, 2023
    Publication date: August 31, 2023
    Inventors: Steven Ross, Christopher Farrar
  • Patent number: 11645277
    Abstract: Implementations relate to providing, in response to a query, machine learning model output that is based on output from a trained machine learning model. The machine learning model output can include a predicted answer to the query, that is predicted based on the trained machine learning model. The machine learning model output can additionally or alternatively include an interactive interface for the trained machine learning model. Some implementations relate to generating a trained machine learning model “on the fly” based on a search query. Some implementations additionally or alternatively relate to storing, in a search index, an association of a machine learning model with a plurality of content items from resource(s) on which the machine learning model was trained.
    Type: Grant
    Filed: December 11, 2017
    Date of Patent: May 9, 2023
    Assignee: GOOGLE LLC
    Inventors: Steven Ross, Christopher Farrar
  • Patent number: 11420293
    Abstract: Methods of reshaping ferrules used in optical fiber cables assemblies are disclosed. The reshaping methods reduce a core-to-ferrule concentricity error (E), which improves coupling efficiency and optical transmission. The methods include measuring a true center of the ferrule, wherein the true center is based on an outer surface of the ferrule; and reshaping at least a portion of the ferrule to change the true center of the ferrule, wherein the reshaping includes enlarging a portion of the ferrule. A variety of reshaping techniques are also disclosed.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: August 23, 2022
    Assignee: Corning Optical Communications LLC
    Inventors: Dana Craig Bookbinder, Boyang Lin, Garrett Andrew Piech, Steven Ross Sims, James Scott Sutherland, Michael Brian Webb, Elvis Alberto Zambrano
  • Patent number: 11392852
    Abstract: A method for rejecting biased data includes receiving a bias training data set based on a probability distribution of bias-sensitive variables of a target population and segmenting the bias training data set into clusters based on at least one respective bias-sensitive variable of the target population, each cluster including a bias cluster weight. The method also includes receiving a training data set for a machine learning model and segmenting the training data set into training clusters. Each training cluster is associated with at least one corresponding bias-sensitive variable of the target population and includes a corresponding training data set weight. The method also includes adjusting each training data set weight to match a respective bias cluster weight to form an adjusted training data set and providing the adjusted training data set to the machine learning model as an unbiased training data set.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: July 19, 2022
    Assignee: Google LLC
    Inventors: Christopher Farrar, Steven Ross
  • Publication number: 20220156646
    Abstract: A method for rejecting biased data using a machine learning model includes receiving a cluster training data set including a known unbiased population of data and training a clustering model to segment the received cluster training data set into clusters based on data characteristics of the known unbiased population of data. Each cluster of the cluster training data set includes a cluster weight. The method also includes receiving a training data set for a machine learning model and generating training data set weights corresponding to the training data set for the machine learning model based on the clustering model. The method also includes adjusting each training data set weight of the training data set weights to match a respective cluster weight and providing the adjusted training data set to the machine learning model as an unbiased training data set.
    Type: Application
    Filed: January 31, 2022
    Publication date: May 19, 2022
    Applicant: Google
    Inventors: Christopher Farrar, Steven Ross
  • Patent number: 11250346
    Abstract: A method for rejecting biased data using a machine learning model includes receiving a cluster training data set including a known unbiased population of data and training a clustering model to segment the received cluster training data set into clusters based on data characteristics of the known unbiased population of data. Each cluster of the cluster training data set includes a cluster weight. The method also includes receiving a training data set for a machine learning model and generating training data set weights corresponding to the training data set for the machine learning model based on the clustering model. The method also includes adjusting each training data set weight of the training data set weights to match a respective cluster weight and providing the adjusted training data set to the machine learning model as an unbiased training data set.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: February 15, 2022
    Assignee: Google LLC
    Inventors: Christopher Farrar, Steven Ross
  • Patent number: 10689312
    Abstract: Disclosed are processes, systems, and reaction systems for the oligomerization of ethylene to form an oligomer product in a reaction zone using a catalyst system having i) a chromium component comprising an N2-phosphinyl amidine chromium compound complex, an N2-phosphinyl formamidine chromium compound complex, an N2-phosphinyl guanidine chromium compound complex, or any combination thereof, and ii) an aluminoxane. Ethylene can be contacted with an organic reaction medium to form an ethylene feedstock mixture prior to contact with the catalyst system. The ethylene feedstock mixture can be contacted with the catalyst system inside or outside of the reaction zone.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: June 23, 2020
    Assignee: Chevron Phillip Chemical Company, LP
    Inventors: Steven M. Bischof, Orson L. Sydora, Jared T. Fern, Uriah J. Kilgore, Steven Ross Hutchison, Ray Rios, Eric R. Fernandez
  • Publication number: 20200082300
    Abstract: A method for rejecting biased data using a machine learning model includes receiving a cluster training data set including a known unbiased population of data and training a clustering model to segment the received cluster training data set into clusters based on data characteristics of the known unbiased population of data. Each cluster of the cluster training data set includes a cluster weight. The method also includes receiving a training data set for a machine learning model and generating training data set weights corresponding to the training data set for the machine learning model based on the clustering model. The method also includes adjusting each training data set weight of the training data set weights to match a respective cluster weight and providing the adjusted training data set to the machine learning model as an unbiased training data set.
    Type: Application
    Filed: September 10, 2018
    Publication date: March 12, 2020
    Applicant: Google LLC
    Inventors: Christopher Farrar, Steven Ross
  • Publication number: 20200081865
    Abstract: A method for rejecting biased data includes receiving a bias training data set based on a probability distribution of bias-sensitive variables of a target population and segmenting the bias training data set into clusters based on at least one respective bias-sensitive variable of the target population, each cluster including a bias cluster weight. The method also includes receiving a training data set for a machine learning model and segmenting the training data set into training clusters. Each training cluster is associated with at least one corresponding bias-sensitive variable of the target population and includes a corresponding training data set weight. The method also includes adjusting each training data set weight to match a respective bias cluster weight to form an adjusted training data set and providing the adjusted training data set to the machine learning model as an unbiased training data set.
    Type: Application
    Filed: September 10, 2018
    Publication date: March 12, 2020
    Applicant: Google LLC
    Inventors: Christopher Farrar, Steven Ross
  • Publication number: 20190375694
    Abstract: Disclosed are processes, systems, and reaction systems for the oligomerization of ethylene to form an oligomer product in a reaction zone using a catalyst system having i) a chromium component comprising an N2-phosphinyl amidine chromium compound complex, an N2-phosphinyl formamidine chromium compound complex, an N2-phosphinyl guanidine chromium compound complex, or any combination thereof, and ii) an aluminoxane. Ethylene can be contacted with an organic reaction medium to form an ethylene feedstock mixture prior to contact with the catalyst system. The ethylene feedstock mixture can be contacted with the catalyst system inside or outside of the reaction zone.
    Type: Application
    Filed: August 21, 2019
    Publication date: December 12, 2019
    Inventors: Steven M. BISCHOF, Orson L. SYDORA, Jared T. FERN, Uriah J. KILGORE, Steven Ross HUTCHISON, Ray RIOS, Eric R. FERNANDEZ
  • Patent number: 10482634
    Abstract: An imaging system is provided that includes at least one detector configured to acquire imaging information, a processing unit, and a display unit. The processing unit is operably coupled to the at least one detector, and is configured to reconstruct an image using the imaging information. The image is organized into voxels having non-uniform dimensions. The processing unit is configured to perform a penalized likelihood (PL) image reconstruction using the imaging information. The PL image reconstruction includes a penalty function. Performing the penalty function includes interpolating a voxel size in at least one dimension from an original size to an interpolated size before determining a penalty function, determining the penalty function using the interpolated size to provide an initial penalty, interpolating the initial penalty to the original size to provide a modified penalty, and applying the modified penalty in the PL image reconstruction.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: November 19, 2019
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Nitin Jain, Sangtae Ahn, Steven Ross
  • Publication number: 20190321922
    Abstract: Methods of reshaping ferrules used in optical fiber cables assemblies are disclosed. The reshaping methods reduce a core-to-ferrule concentricity error (E), which improves coupling efficiency and optical transmission. The methods include measuring a true center of the ferrule, wherein the true center is based on an outer surface of the ferrule; and reshaping at least a portion of the ferrule to change the true center of the ferrule, wherein the reshaping includes enlarging a portion of the ferrule. A variety of reshaping techniques are also disclosed.
    Type: Application
    Filed: July 1, 2019
    Publication date: October 24, 2019
    Inventors: Dana Craig Bookbinder, Boyang Lin, Garrett Andrew Piech, Steven Ross Sims, James Scott Sutherland, Michael Brian Webb, Elvis Alberto Zambrano
  • Patent number: 10414699
    Abstract: Disclosed are processes, systems, and reaction systems for the oligomerization of ethylene to form an oligomer product in a reaction zone using a catalyst system having i) a chromium component comprising an N2-phosphinyl amidine chromium compound complex, an N2-phosphinyl formamidine chromium compound complex, an N2-phosphinyl guanidine chromium compound complex, or any combination thereof, and ii) an aluminoxane. Ethylene can be contacted with an organic reaction medium to form an ethylene feedstock mixture prior to contact with the catalyst system. The ethylene feedstock mixture can be contacted with the catalyst system inside or outside of the reaction zone.
    Type: Grant
    Filed: May 27, 2016
    Date of Patent: September 17, 2019
    Assignee: Chevron Phillips Chemical Company LP
    Inventors: Steven M. Bischof, Orson L. Sydora, Jared T. Fern, Uriah J. Kilgore, Steven Ross Hutchison, Ray Rios, Eric R. Fernandez
  • Patent number: 10376711
    Abstract: Light sources are incorporated into a guidewire for enabling the ability to render light therapy be added to catheters that do not have that capability. In one exemplary embodiment, a solid guidewire includes a conductive core, and light sources are added to compartments formed in a distal end of the guidewire. In another exemplary embodiment, a light source array is included in a distal end of a hollow guidewire. A plurality of openings are formed into the walls of the hollow guidewire surrounding the array, enabling light to pass through the openings. Conductors extend from the array though the hollow center of the guidewire, to a proximal end of the hollow guidewire. The hollow guidewire can be coated with a conductive material, so that the coating on the guidewire serves as a conductor.
    Type: Grant
    Filed: August 6, 2007
    Date of Patent: August 13, 2019
    Assignee: LIGHT SCIENCES ONCOLOGY INC.
    Inventors: Phillip Burwell, Zihong Guo, Jennifer K. Matson, Steven Ross Daly, David B. Shine, Gary Lichttenegger, Jean M. Bishop, Nick Yeo, Hugh Narciso
  • Patent number: D926260
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: July 27, 2021
    Assignee: AGS LLC
    Inventors: Mark Steven Ross, Kevin Lee Hohman
  • Patent number: D1039715
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: August 20, 2024
    Inventors: Steven Ross Cantor, Andrew Harris Kessler
  • Patent number: D1041661
    Type: Grant
    Filed: October 26, 2022
    Date of Patent: September 10, 2024
    Assignee: INMEDIX, INC.
    Inventors: Andrew James Holman, Steven Ross Daly, Michael Glenn Loveless, Rade Gadzic, Sunghyun Lee