Patents by Inventor Lauren Moores

Lauren Moores 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: 20240127367
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: August 25, 2023
    Publication date: April 18, 2024
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Patent number: 11776071
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: October 3, 2023
    Assignee: INDIGO AG, INC.
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Patent number: 11263707
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: March 1, 2022
    Assignee: INDIGO AG, INC.
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Publication number: 20210224927
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: March 11, 2021
    Publication date: July 22, 2021
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y. H. Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Patent number: 10762293
    Abstract: Techniques to automatically correct or complete text are disclosed. An entered text and a context data indicating a context in which the entered text is used are received. Examples of context data include additional words and/or a phrase or sentence in which the entered text occurs. A replacement candidate to replace the entered text is determined based on the entered text and the context data.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: September 1, 2020
    Assignee: APPLE INC.
    Inventors: Brent D. Ramerth, Douglas R. Davidson, Jennifer Lauren Moore
  • Patent number: 10515147
    Abstract: Using a statistical language model to make information related to a word or other content of interest available is disclosed. An indication that a word or phrase is of interest is received. A contextual meta-information associated with the word or phrase of interest as used in context is used to make information related to the word or phrase of interest available, for example, by forming a more precise query and/or filtering search results based on the contextual meta-information.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: December 24, 2019
    Assignee: APPLE INC.
    Inventors: Jennifer Lauren Moore, Brent D. Ramerth, Douglas R. Davidson
  • Publication number: 20190050948
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: August 7, 2018
    Publication date: February 14, 2019
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Charles Vincent Michell, JR., Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Patent number: 9193663
    Abstract: In one embodiment, the invention is to a method for producing a vinyl acetate composition. The method comprises the step of contacting acetic acid, oxygen, and ethylene under conditions effective to form a crude vinyl acetate composition comprising vinyl acetate, acetic acid, residual oxygen, and water. The method further comprises the step of contacting the crude vinyl acetate composition or a derivative thereof with at least one scavenger to form a treated crude vinyl acetate composition.
    Type: Grant
    Filed: October 25, 2011
    Date of Patent: November 24, 2015
    Assignee: Celanese International Corporation
    Inventors: Jessica Freeman, Qiang Yao, Lauren Moore, Ilias Kotsianis, Victor Johnston, Kevin Hanks
  • Patent number: 8775442
    Abstract: Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.
    Type: Grant
    Filed: May 15, 2012
    Date of Patent: July 8, 2014
    Assignee: Apple Inc.
    Inventors: Jennifer Lauren Moore, Devang K. Naik, Jerome R. Bellegarda, Kevin Bartlett Aitken, Kim E. Silverman
  • Publication number: 20130311487
    Abstract: Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.
    Type: Application
    Filed: May 15, 2012
    Publication date: November 21, 2013
    Applicant: APPLE INC.
    Inventors: Jennifer Lauren Moore, Devang K. Naik, Jerome R. Bellegarda, Kevin Bartlett Aitken, Kim E. Silverman
  • Publication number: 20130261330
    Abstract: The present invention, in one embodiment, is to a process for inhibiting impurity formation a vinyl acetate formation reaction. The process comprises the step of providing a reactor comprising an inlet section, an outlet section, a filler (or fillers), and a catalyst block section. The filler is disposed in the outlet section. The catalyst block section may be in communication with and configured between the inlet and outlet sections. The process further comprises the steps of introducing the reactants to the inlet section and contacting the reactants in the catalyst block section under conditions effective to form a crude vinyl acetate composition. The process may further comprise the step of directing the crude vinyl acetate composition into the outlet section, which comprises the filler.
    Type: Application
    Filed: February 20, 2013
    Publication date: October 3, 2013
    Inventors: Naveed Aslam, Jessica Freeman, Ilias S. Kotsianis, Lauren Moore, Quiang Yao
  • Patent number: 8469388
    Abstract: A detachable tray accessory for a stroller secured by a left and right side member or lock housing member each containing a detachable attaching means that attaches to and releases from a corresponding lock receiver on the stroller assembly or stroller seat. The detachable tray accessory of the present invention preferably includes a support bar for supporting the shape and weight of a flat surface tray removably attachable to the support bar. Alternatively, the detachable tray accessory is utilized with a removable carry handle of the stroller.
    Type: Grant
    Filed: May 16, 2011
    Date of Patent: June 25, 2013
    Assignee: Tray Vous LLC
    Inventor: Lauren A. Moore
  • Publication number: 20120166429
    Abstract: Using a statistical language model to make information related to a word or other content of interest available is disclosed. An indication that a word or phrase is of interest is received. A contextual meta-information associated with the word or phrase of interest as used in context is used to make information related to the word or phrase of interest available, for example, by forming a more precise query and/or filtering search results based on the contextual meta-information.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 28, 2012
    Applicant: APPLE INC.
    Inventors: Jennifer Lauren Moore, Brent D. Ramerth, Douglas R. Davidson
  • Publication number: 20120166942
    Abstract: Techniques to automatically correct or complete text are disclosed. An entered text and a context data indicating a context in which the entered text is used are received. Examples of context data include additional words and/or a phrase or sentence in which the entered text occurs. A replacement candidate to replace the entered text is determined based on the entered text and the context data.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 28, 2012
    Applicant: APPLE INC.
    Inventors: Brent D. Ramerth, Douglas R. Davidson, Jennifer Lauren Moore
  • Publication number: 20120108842
    Abstract: In one embodiment, the invention is to a method for producing a vinyl acetate composition. The method comprises the step of contacting acetic acid, oxygen, and ethylene under conditions effective to form a crude vinyl acetate composition comprising vinyl acetate, acetic acid, residual oxygen, and water. The method further comprises the step of contacting the crude vinyl acetate composition or a derivative thereof with at least one scavenger to form a treated crude vinyl acetate composition.
    Type: Application
    Filed: October 25, 2011
    Publication date: May 3, 2012
    Applicant: Celanese International Corporation
    Inventors: Jessica Freeman, Qiang Yao, Lauren Moore, Ilias Kotsianis, Victor Johnston, Kevin Hanks
  • Publication number: 20110210531
    Abstract: A detachable tray accessory for a stroller secured by a left and right side member or lock housing member each containing a detachable attaching means that attaches to and releases from a corresponding lock receiver on the stroller assembly or stroller seat. The detachable tray accessory of the present invention preferably includes a support bar for supporting the shape and weight of a flat surface tray removably attachable to the support bar. Alternatively, the detachable tray accessory is utilized with a removable carry handle of the stroller.
    Type: Application
    Filed: May 16, 2011
    Publication date: September 1, 2011
    Applicant: TRAY VOUS LLC
    Inventor: Lauren A. Moore
  • Patent number: 7942437
    Abstract: A detachable tray accessory for a stroller secured by a left and right side member or lock housing member each containing a detachable attaching means that attaches to and releases from a corresponding lock receiver on the stroller assembly or stroller seat. The detachable tray accessory for a stroller includes a support bar for supporting the shape and weight of a flat surface tray removably attachable to the support bar.
    Type: Grant
    Filed: September 25, 2008
    Date of Patent: May 17, 2011
    Assignee: Tray Vous LLC
    Inventor: Lauren A. Moore
  • Publication number: 20100072792
    Abstract: A detachable tray accessory for a stroller secured by a left and right side member or lock housing member each containing a detachable attaching means that attaches to and releases from a corresponding lock receiver on the stroller assembly or stroller seat. The device of the present invention includes a support bar for supporting the shape and weight of a flat surface tray removably attachable to the support bar.
    Type: Application
    Filed: September 25, 2008
    Publication date: March 25, 2010
    Inventor: Lauren A. Moore