Patents by Inventor Gregory D. Bolsinga
Gregory D. Bolsinga 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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Patent number: 11934961Abstract: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.Type: GrantFiled: January 21, 2020Date of Patent: March 19, 2024Assignee: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Publication number: 20230034863Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user’s calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: October 12, 2022Publication date: February 2, 2023Applicant: Apple Inc.Inventors: Bradford A. Moore, Christine B. McGavran, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel Van Os
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Patent number: 11506497Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: GrantFiled: July 15, 2019Date of Patent: November 22, 2022Assignee: Apple Inc.Inventors: Bradford A. Moore, Christine B. McGavran, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel Van Os
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Publication number: 20200160223Abstract: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.Type: ApplicationFiled: January 21, 2020Publication date: May 21, 2020Applicant: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Patent number: 10579939Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: GrantFiled: March 30, 2016Date of Patent: March 3, 2020Assignee: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Publication number: 20190339079Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: July 15, 2019Publication date: November 7, 2019Applicant: Apple Inc.Inventors: Bradford A. Moore, Christine B. McGavran, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel Van Os
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Patent number: 10371526Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: GrantFiled: April 21, 2017Date of Patent: August 6, 2019Assignee: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel van Os
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Publication number: 20170350703Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: April 21, 2017Publication date: December 7, 2017Applicant: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel van Os
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Patent number: 9631930Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: GrantFiled: November 15, 2013Date of Patent: April 25, 2017Assignee: APPLE INC.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel van Os
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Publication number: 20160212229Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: March 30, 2016Publication date: July 21, 2016Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Patent number: 9317813Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: GrantFiled: March 15, 2013Date of Patent: April 19, 2016Assignee: APPLE INC.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Patent number: 9303997Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: GrantFiled: November 15, 2013Date of Patent: April 5, 2016Assignee: APPLE INC.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Publication number: 20150229718Abstract: Some embodiments provide a protocol for a first device to obtain information about one or more data entities from a second device. In some embodiments, the first device is a client device, while the second device is a server device. In some embodiments, the protocol specifies a request that includes an entity identifying parameter set and a description of the desired information for each entity that the second device identifies based on the entity identifying parameter set. In some embodiments, the protocol specifies a response from the second device includes a set of entities that were identified based on the entity identifying parameter set, and for each entity in the set of entities, a list of responses that includes a set of data values or data objects for each information component set that the first device requested for the identified entities.Type: ApplicationFiled: May 30, 2014Publication date: August 13, 2015Inventors: Curtis C. Galloway, Gregory D. Bolsinga, Ingo A. Schurr, Kaspar Fischer, Marco Primi, Nathaniel R. Rivard, Nils Stefan Daniel Bengtsson, Steven Alyari
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Publication number: 20140278051Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: November 15, 2013Publication date: September 18, 2014Applicant: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Publication number: 20140279723Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: March 15, 2013Publication date: September 18, 2014Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Michael P. Dal Santo, Lukas Marti, Seejo K. Pylappan, Marcel van Os
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Publication number: 20140278070Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.Type: ApplicationFiled: November 15, 2013Publication date: September 18, 2014Applicant: Apple Inc.Inventors: Christine B. McGavran, Bradford A. Moore, Gregory D. Bolsinga, Christopher Blumenberg, Seejo K. Pylappan, Marcel van Os