Patents by Inventor Michael Schiff

Michael Schiff 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).

  • Patent number: 12610975
    Abstract: This disclosure provides materials and methods for improving the nutritional value of food products by increasing the content of chelated iron. Heme binding proteins (designated as PX90 proteins) that have not previously been used as food additives are manufactured by recombinant expression, and then included in food products during manufacture or preparation. PX90 proteins may also impart a meat-like flavor or aroma, either coincidentally or by design. Subcategories of PX90 proteins are structurally related to THAP4-like heme-binding beta-barrel domain containing proteins, indoleamine 2,3-dioxygenase (IDO), DyP-type peroxidase, ferritins, and hemopexins. The bioavailable iron in nutritional supplements and food products of this disclosure is especially beneficial for consumers who have manifestations of iron deficiency, low blood hematocrit, anemia, and other hematological abnormalities.
    Type: Grant
    Filed: May 8, 2023
    Date of Patent: April 28, 2026
    Assignee: Shiru, Inc.
    Inventors: Eyal Akiva, Christopher Farwell, Michael Madonna, Michael Schiff, Jason Voogt
  • Patent number: 12056586
    Abstract: Techniques for determining a drift impact score in a machine learning model are disclosed. The techniques can include: obtaining a reference distribution of a machine learning model; obtaining a current distribution of the machine learning model; determining a statistical distance based on the reference distribution and the current distribution; determining a local feature importance parameter for each feature associated with a prediction made by the machine learning model; determining a cohort feature importance parameter for a cohort of multiple features based on the local feature importance parameter of each feature in the cohort; and determining a drift impact score for the cohort based on the statistical distance and the cohort feature importance parameter.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: August 6, 2024
    Assignee: ARIZE AI, INC.
    Inventors: Jason Lopatecki, Aparna Dhinakaran, Michael Schiff
  • Patent number: 11775871
    Abstract: Techniques for optimizing a machine learning model. The techniques can include: obtaining one or more embedding vectors based on a prediction of a machine learning model; mapping the embedding vectors from a higher dimensional space to a 2D/3D space to generate one or more high density points in the 2D/3D space; clustering the high-density points by running a clustering algorithm multiple times, each time with a different set of parameters to generate one or more clusters; applying a purity metric to each cluster to generate a normalized purity score of each cluster; identifying one or more clusters with a normalized purity score lower than a threshold; and optimizing the identifying one or more clusters.
    Type: Grant
    Filed: December 8, 2022
    Date of Patent: October 3, 2023
    Assignee: ARIZE AI, INC.
    Inventors: Jason Lopatecki, Aparna Dhinakaran, Francisco Castillo Carrasco, Michael Schiff, Nathaniel Mar
  • Publication number: 20230186144
    Abstract: Techniques for determining a drift impact score in a machine learning model are disclosed. The techniques can include: obtaining a reference distribution of a machine learning model; obtaining a current distribution of the machine learning model; determining a statistical distance based on the reference distribution and the current distribution; determining a local feature importance parameter for each feature associated with a prediction made by the machine learning model; determining a cohort feature importance parameter for a cohort of multiple features based on the local feature importance parameter of each feature in the cohort; and determining a drift impact score for the cohort based on the statistical distance and the cohort feature importance parameter.
    Type: Application
    Filed: December 10, 2021
    Publication date: June 15, 2023
    Applicant: ARIZE AI, INC.
    Inventors: Jason LOPATECKI, Aparna DHINAKARAN, Michael SCHIFF
  • Patent number: 11663527
    Abstract: Techniques for determining embedding drift score in a machine learning model. The techniques can include: obtaining one or more first embedding vectors based on at least one first prediction of a machine learning model; filtering the first embedding vectors based on a slice of the first prediction; determining a first average vector by averaging each dimension of the filtered first embedding vectors; obtaining one or more second embedding vectors on at least one second prediction of the machine learning model; filtering the second embedding vectors based on a slice of the second prediction; generating a second average vector by averaging each dimension of the filtered second embedding vectors; and determining an embedding drift score based on a distance measure of the first average vector and the second average vector.
    Type: Grant
    Filed: March 24, 2022
    Date of Patent: May 30, 2023
    Assignee: ARIZE AI, INC.
    Inventors: Jason Lopatecki, Francisco Castillo Carrasco, Aparna Dhinakaran, Michael Schiff
  • Patent number: 11348130
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: May 31, 2022
    Assignee: Adobe Inc.
    Inventors: Chih Hsin Hsueh, Viswanathan Swaminathan, Venkata Karthik Penikalapati, Seth Olson, Michael Schiff, Gang Wu, Daniel Pang, Alok Kothari
  • Publication number: 20220051274
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.
    Type: Application
    Filed: August 17, 2020
    Publication date: February 17, 2022
    Inventors: Chih Hsin Hsueh, Viswanathan Swaminathan, Venkata Karthik Penikalapati, Seth Olson, Michael Schiff, Gang Wu, Daniel Pang, Alok Kothari
  • Patent number: 8645105
    Abstract: A development application can be configured to facilitate editing multiple fragments already associated with an interface design simultaneously using a graphic design application, with the fragments arranged in a logical form supported by the graphic design application. The logical form of the artwork fragments as provided to the graphic design application can correspond to the relationship between different elements of the interface design using the respective fragments. Fragments may correspond to different components, parts of components, and part states, for instance. A method can comprise accessing data defining an interface component and comprising a plurality of logically arranged elements of the component. The method can comprise extracting the artwork and arranging the artwork into a form compatible with a graphic design application. The artwork can be edited in a graphic design application and then re-integrated into the data defining the design elements of the interface after editing is complete.
    Type: Grant
    Filed: November 14, 2008
    Date of Patent: February 4, 2014
    Assignee: Adobe Systems Incorporated
    Inventors: Mark Shepherd, Narciso Jaramillo, Robert Tyler Voliter, Michael Schiff
  • Publication number: 20080303826
    Abstract: Methods and systems for animating visual components representing data items. One embodiment comprises a method for producing an application using declarative language code to specify animation behavior for data item representations. A programming application may be used to create the declarative language code using a display design area for placing and adjusting objects such as data item containers and/or an editor for entering and editing code. One embodiment comprises a method that allows an application, such as a rich Internet application, to create representations of displayed objects and virtually displayed objects to facilitate animation. One embodiment involves facilitating animation using initial and changed layouts, such layouts including representing of a limited number of data items both inside and outside the content display area.
    Type: Application
    Filed: June 11, 2007
    Publication date: December 11, 2008
    Applicant: Adobe Systems Incorporated
    Inventor: Michael Schiff
  • Publication number: 20080303827
    Abstract: Methods and systems for animating visual components representing data items. One embodiment comprises a method for producing an application using declarative language code to specify animation behavior for data item representations. A programming application may be used to create the declarative language code using a display design area for placing and adjusting objects such as data item containers and/or an editor for entering and editing code. One embodiment comprises a method that allows an application, such as a rich Internet application, to create representations of displayed objects and virtually displayed objects to facilitate animation. One embodiment involves facilitating animation using initial and changed layouts, such layouts including representing of a limited number of data items both inside and outside the content display area.
    Type: Application
    Filed: June 11, 2007
    Publication date: December 11, 2008
    Applicant: Adobe Systems Incorporated
    Inventor: Michael Schiff
  • Patent number: 7229829
    Abstract: The application provides, in part, vectors based on novel tobacco rattle virus replicons, as well as methods for using such vectors and transgenic plants.
    Type: Grant
    Filed: March 14, 2003
    Date of Patent: June 12, 2007
    Assignee: Yale University
    Inventors: Savithramma P. Dinesh Kumar, Yule Liu, Michael Schiff
  • Publication number: 20030182684
    Abstract: The application provides, in part, vectors based on novel tobacco rattle virus replicons, as well as methods for using such vectors and transgenic plants.
    Type: Application
    Filed: March 14, 2003
    Publication date: September 25, 2003
    Applicant: Yale University
    Inventors: Savithramma P. Dinesh Kumar, Yule Liu, Michael Schiff