Patents by Inventor Daniel Ramage
Daniel Ramage 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: 11120102Abstract: Systems and methods of determining a global model are provided. In particular, one or more local updates can be received from a plurality of user devices. Each local update can be determined by the respective user device based at least in part on one or more data examples stored on the user device. The one or more data examples stored on the plurality of user devices are distributed on an uneven basis, such that no user device includes a representative sample of the overall distribution of data examples. The local updates can then be aggregated to determine a global model.Type: GrantFiled: August 27, 2020Date of Patent: September 14, 2021Assignee: Google LLCInventors: Hugh Brendan McMahan, Jakub Konecny, Eider Brantly Moore, Daniel Ramage, Blaise H. Aguera-Arcas
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Patent number: 11087362Abstract: Systems and methods are shown for providing private local sponsored content selection and improving intelligence models through distribution among mobile devices. This allows greater data gathering capabilities through the use of the sensors of the mobile devices as well as data stored on data storage components of the mobile devices to create predicted models while offering better opportunities to preserve privacy. Locally stored profiles comprising machine intelligence models may also be used to determine the relevance of the data gathered and in improving an aggregated model for identifying the relevance of data and the selection of sponsored content items. Distributed optimization is used in conjunction with privacy techniques to create the improved machine intelligence models. Publishers may also benefit from the improved privacy by protecting the statistics of type or volume of sponsored content items shown with publisher content.Type: GrantFiled: November 25, 2019Date of Patent: August 10, 2021Assignee: GOOGLE LLCInventors: Keith Bonawitz, Daniel Ramage, David Petrou
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Publication number: 20210141501Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.Type: ApplicationFiled: January 25, 2021Publication date: May 13, 2021Inventors: Tim Wantland, Julian Odell, Seungyeon Kim, Iulia Turc, Daniel Ramage, Wei Huang, Kaikai Wang
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Patent number: 10970646Abstract: Systems and methods are provided for suggesting actions for selected text based on content displayed on a mobile device. An example method can include converting a selection made via a display device into a query, providing the query to an action suggestion model that is trained to predict an action given a query, each action being associated with a mobile application, receiving one or more predicted actions, and initiating display of the one or more predicted actions on the display device. Another example method can include identifying, from search records, queries where a website is highly ranked, the website being one of a plurality of websites in a mapping of websites to mobile applications. The method can also include generating positive training examples for an action suggestion model from the identified queries, and training the action suggestion model using the positive training examples.Type: GrantFiled: October 1, 2015Date of Patent: April 6, 2021Assignee: GOOGLE LLCInventors: Matthew Sharifi, Daniel Ramage, David Petrou
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Publication number: 20210042787Abstract: The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.Type: ApplicationFiled: November 27, 2019Publication date: February 11, 2021Applicant: Google LLCInventors: Michael Kleber, Gang Wang, Daniel Ramage, Charlie Harrison, Josh Karlin, Moti Yung
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Publication number: 20210042666Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a global model for a particular activity, the global model derived based on input data representing multiple observations associated with the particular activity performed by a collection of users; determining, using the global model, expected data representing an expected observation associated with the particular activity performed by a particular user; receiving, by a computing device operated by the particular user, particular data representing an actual observation associated with the particular activity performed by the particular user; determining, by the computing device and using (i) the expected data and (ii) the particular data, residual data of the particular user; and deriving a local model of the particular user based on the residual data.Type: ApplicationFiled: October 28, 2020Publication date: February 11, 2021Inventors: Daniel Ramage, Jeremy Gillmor Kahn
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Publication number: 20210027203Abstract: Systems and methods are provided for suggesting actions for selected text based on content displayed on a mobile device. An example method can include converting a selection made via a display device into a query, providing the query to an action suggestion model that is trained to predict an action given a query, each action being associated with a mobile application, receiving one or more predicted actions, and initiating display of the one or more predicted actions on the display device. Another example method can include identifying, from search records, queries where a website is highly ranked, the website being one of a plurality of websites in a mapping of websites to mobile applications. The method can also include generating positive training examples for an action suggestion model from the identified queries, and training the action suggestion model using the positive training examples.Type: ApplicationFiled: October 15, 2020Publication date: January 28, 2021Inventors: Matthew Sharifi, Daniel RAMAGE, David Petrou
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Patent number: 10901577Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.Type: GrantFiled: July 17, 2018Date of Patent: January 26, 2021Assignee: Google LLCInventors: Tim Wantland, Julian Odell, Seungyeon Kim, Iulia Turc, Daniel Ramage, Wei Huang, Kaikai Wang
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Publication number: 20200401946Abstract: The present disclosure provides systems and methods for the management and/or evaluation of machine-learned models based on locally logged data. In one example, a user computing device can obtain a machine-learned model (e.g., from a server computing device) and can evaluate at least one performance metric for the machine-learned model. In particular, the at least one performance metric for the machine-learned model can be evaluated relative to data that is stored locally at the user computing device. The user computing device and/or the server computing device can determine whether to activate the machine-learned model on the user computing device based at least in part on the at least one performance metric. In another example, the user computing device can evaluate a plurality of machine-learned models against locally stored data. At least one of the models can be selected based on the evaluated performance metrics.Type: ApplicationFiled: September 8, 2020Publication date: December 24, 2020Inventors: Keith Bonawitz, Daniel Ramage
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Publication number: 20200394253Abstract: Systems and methods of determining a global model are provided. In particular, one or more local updates can be received from a plurality of user devices. Each local update can be determined by the respective user device based at least in part on one or more data examples stored on the user device. The one or more data examples stored on the plurality of user devices are distributed on an uneven basis, such that no user device includes a representative sample of the overall distribution of data examples. The local updates can then be aggregated to determine a global model.Type: ApplicationFiled: August 27, 2020Publication date: December 17, 2020Inventors: Hugh Brendan McMahan, Jakub Konecny, Eider Brantly Moore, Daniel Ramage, Blaise H. Aguera-Arcas
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Publication number: 20200382454Abstract: A messaging application may automatically analyze content of one or more messages and/or user information to automatically provide suggestions to a user within a messaging application. The suggestions may automatically incorporate particular non-messaging functionality into the messaging application. The automatic suggestions may suggest one or more appropriate responses to be selected by a user to respond in the messaging application, and/or may automatically send one or more appropriate responses on behalf of a user.Type: ApplicationFiled: August 21, 2020Publication date: December 3, 2020Applicant: Google LLCInventors: Ori GERSHONY, Sergey NAZAROV, Rodrigo DE CASTRO, Erika PALMER, Daniel RAMAGE, Adam RODRIGUEZ, Andrei PASCOVICI
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Publication number: 20200351466Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. In particular, the present disclosure provides low power frameworks for controlling image sensor mode in a mobile image capture device. On example low power frame work includes a scene analyzer that analyzes a scene depicted by a first image and, based at least in part on such analysis, causes an image sensor control signal to be provided to an image sensor to adjust at least one of the frame rate and the resolution of the image sensor.Type: ApplicationFiled: July 23, 2020Publication date: November 5, 2020Inventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Benjamin James McMahan, Oliver Fritz Lange, Jess Holbrook
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Patent number: 10824958Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a global model for a particular activity, the global model derived based on input data representing multiple observations associated with the particular activity performed by a collection of users; determining, using the global model, expected data representing an expected observation associated with the particular activity performed by a particular user; receiving, by a computing device operated by the particular user, particular data representing an actual observation associated with the particular activity performed by the particular user; determining, by the computing device and using (i) the expected data and (ii) the particular data, residual data of the particular user; and deriving a local model of the particular user based on the residual data.Type: GrantFiled: August 26, 2014Date of Patent: November 3, 2020Assignee: Google LLCInventors: Daniel Ramage, Jeremy Gillmor Kahn
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Patent number: 10769549Abstract: The present disclosure provides systems and methods for the management and/or evaluation of machine-learned models based on locally logged data. In one example, a user computing device can obtain a machine-learned model (e.g., from a server computing device) and can evaluate at least one performance metric for the machine-learned model. In particular, the at least one performance metric for the machine-learned model can be evaluated relative to data that is stored locally at the user computing device. The user computing device and/or the server computing device can determine whether to activate the machine-learned model on the user computing device based at least in part on the at least one performance metric. In another example, the user computing device can evaluate a plurality of machine-learned models against locally stored data. At least one of the models can be selected based on the evaluated performance metrics.Type: GrantFiled: November 21, 2016Date of Patent: September 8, 2020Assignee: Google LLCInventors: Keith Bonawitz, Daniel Ramage
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Patent number: 10757043Abstract: A messaging application may automatically analyze content of one or more messages and/or user information to automatically provide suggestions to a user within a messaging application. The suggestions may automatically incorporate particular non-messaging functionality into the messaging application. The automatic suggestions may suggest one or more appropriate responses to be selected by a user to respond in the messaging application, and/or may automatically send one or more appropriate responses on behalf of a user.Type: GrantFiled: December 21, 2016Date of Patent: August 25, 2020Assignee: Google LLCInventors: Ori Gershony, Sergey Nazarov, Rodrigo De Castro, Erika Palmer, Daniel Ramage, Adam Rodriguez, Andrei Pascovici
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Patent number: 10732809Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image and/or one or more contemporaneously captured images in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.Type: GrantFiled: March 6, 2018Date of Patent: August 4, 2020Assignee: Google LLCInventors: Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Hugh Brendan McMahan, Oliver Fritz Lange, Emily Anne Fortuna, Divya Tyamagundlu, Jess Holbrook, Kristine Kohlhepp, Juston Payne, Krzysztof Duleba, Benjamin Vanik, Alison Lentz, Jon Gabriel Clapper, Joshua Denali Lovejoy, Aaron Michael Donsbach
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Patent number: 10728489Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. In particular, the present disclosure provides low power frameworks for controlling image sensor mode in a mobile image capture device. On example low power frame work includes a scene analyzer that analyzes a scene depicted by a first image and, based at least in part on such analysis, causes an image sensor control signal to be provided to an image sensor to adjust at least one of the frame rate and the resolution of the image sensor.Type: GrantFiled: August 22, 2018Date of Patent: July 28, 2020Assignee: Google LLCInventors: Aaron Michael Donsbach, Benjamin Vanik, Jon Gabriel Clapper, Alison Lentz, Joshua Denali Lovejoy, Robert Douglas Fritz, III, Krzysztof Duleba, Li Zhang, Juston Payne, Emily Anne Fortuna, Iwona Bialynicka-Birula, Blaise Aguera-Arcas, Daniel Ramage, Benjamin James McMahan, Oliver Fritz Lange, Jess Holbrook
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Publication number: 20200098011Abstract: Systems and methods are shown for providing private local sponsored content selection and improving intelligence models through distribution among mobile devices. This allows greater data gathering capabilities through the use of the sensors of the mobile devices as well as data stored on data storage components of the mobile devices to create predicted models while offering better opportunities to preserve privacy. Locally stored profiles comprising machine intelligence models may also be used to determine the relevance of the data gathered and in improving an aggregated model for identifying the relevance of data and the selection of sponsored content items. Distributed optimization is used in conjunction with privacy techniques to create the improved machine intelligence models. Publishers may also benefit from the improved privacy by protecting the statistics of type or volume of sponsored content items shown with publisher content.Type: ApplicationFiled: November 25, 2019Publication date: March 26, 2020Applicant: Google LLCInventors: Keith Bonawitz, Daniel Ramage, David Petrou
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Publication number: 20200026395Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.Type: ApplicationFiled: July 17, 2018Publication date: January 23, 2020Inventors: Tim Wantland, Julian Odell, Seungyeon Kim, Iulia Turc, Daniel Ramage, Wei Huang, Kaikai Wang
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Patent number: 10504154Abstract: Systems and methods are shown for providing private local sponsored content selection and improving intelligence models through distribution among mobile devices. This allows greater data gathering capabilities through the use of the sensors of the mobile devices as well as data stored on data storage components of the mobile devices to create predicted models while offering better opportunities to preserve privacy. Locally stored profiles comprising machine intelligence models may also be used to determine the relevance of the data gathered and in improving an aggregated model for identifying the relevance of data and the selection of sponsored content items. Distributed optimization is used in conjunction with privacy techniques to create the improved machine intelligence models. Publishers may also benefit from the improved privacy by protecting the statistics of type or volume of sponsored content items shown with publisher content.Type: GrantFiled: September 20, 2016Date of Patent: December 10, 2019Assignee: Google LLCInventors: Keith Bonawitz, Daniel Ramage, David Petrou