公开(公告)号：US20180367752A1

公开(公告)日：2018-12-20

申请号：US16109708

申请日：2018-08-22

Applicant: Google LLC

Inventor： 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

IPC: H04N5/77 ,  G06K9/66 ,  G06K9/62 ,  H04N5/232 ,  H04N19/426

Abstract: 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.

公开(公告)号：US20180196587A1

公开(公告)日：2018-07-12

申请号：US15913793

申请日：2018-03-06

Applicant: Google LLC

Inventor： 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

IPC: G06F3/0484 ,  H04N1/21 ,  G06T3/00 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/0485

Abstract: 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.

公开(公告)号：US11954705B2

公开(公告)日：2024-04-09

申请号：US17892699

申请日：2022-08-22

Applicant: Google LLC

Inventor： Michael Kleber ,  Gang Wang ,  Daniel Ramage ,  Charlie Harrison ,  Josh Karlin ,  Moti Yung

IPC: G06F7/02 ,  G06F16/00 ,  G06F16/951 ,  G06Q30/0251 ,  H04L9/08 ,  H04L9/32

CPC classification number: G06Q30/0255 ,  G06F16/951 ,  H04L9/085 ,  H04L9/32 ,  H04L2209/42

Abstract: 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.

公开(公告)号：US20240012540A1

公开(公告)日：2024-01-11

申请号：US18471966

申请日：2023-09-21

Applicant: Google LLC

Inventor： Tim Wantland ,  Julian Odell ,  Seungyeon Kim ,  Iulia Turc ,  Daniel Ramage ,  Wei Huang ,  Kaikai Wang

IPC: G06F3/0482 ,  G06F3/0484

CPC classification number: G06F3/0482 ,  G06F3/0484

Abstract: 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.

公开(公告)号：US11551153B2

公开(公告)日：2023-01-10

申请号：US17082730

申请日：2020-10-28

Applicant: Google LLC

Inventor： Daniel Ramage ,  Jeremy Gillmor Kahn

IPC: G06N20/00 ,  H04L67/01

Abstract: 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.

公开(公告)号：US11502975B2

公开(公告)日：2022-11-15

申请号：US16999702

申请日：2020-08-21

Applicant: Google LLC

Inventor： Ori Gershony ,  Sergey Nazarov ,  Rodrigo De Castro ,  Erika Palmer ,  Daniel Ramage ,  Adam Rodriguez ,  Andrei Pascovici

IPC: H04L51/02 ,  H04L51/04 ,  H04L51/216 ,  H04L51/222 ,  H04L51/18 ,  H04L51/046 ,  H04L51/063

Abstract: 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.

公开(公告)号：US20220358385A1

公开(公告)日：2022-11-10

申请号：US17874967

申请日：2022-07-27

Applicant: Google LLC

Inventor： Pannag Sanketi ,  Wolfgang Grieskamp ,  Daniel Ramage ,  Hrishikesh Aradhye

IPC: G06N5/04 ,  G06N20/00

Abstract: The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.

公开(公告)号：US20210141501A1

公开(公告)日：2021-05-13

申请号：US17156972

申请日：2021-01-25

Applicant: Google LLC

Inventor： Tim Wantland ,  Julian Odell ,  Seungyeon Kim ,  Iulia Turc ,  Daniel Ramage ,  Wei Huang ,  Kaikai Wang

IPC: G06F3/0482 ,  G06F3/0484

Abstract: 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.

公开(公告)号：US12051092B2

公开(公告)日：2024-07-30

申请号：US18124174

申请日：2023-03-21

Applicant: GOOGLE LLC

Inventor： Keith Bonawitz ,  Daniel Ramage ,  David Petrou

IPC: G06Q30/0251 ,  G06N5/025 ,  H04L9/00 ,  H04L9/40

CPC classification number: G06Q30/0269 ,  G06N5/025 ,  G06Q30/0251 ,  G06Q30/0261 ,  H04L9/008 ,  H04L63/0428

Abstract: 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.

公开(公告)号：US11726769B2

公开(公告)日：2023-08-15

申请号：US17964563

申请日：2022-10-12

Applicant: Google LLC

Inventor： Hugh Brendan McMahan ,  Kunal Talwar ,  Li Zhang ,  Daniel Ramage

IPC: G06F9/44 ,  G06F8/65 ,  G06N20/00 ,  H04L67/10 ,  G06F21/62 ,  H04L9/40 ,  G06F18/214 ,  G06V10/82 ,  G06V10/94

CPC classification number: G06F8/65 ,  G06F18/214 ,  G06F21/6245 ,  G06N20/00 ,  H04L63/00 ,  H04L67/10 ,  G06V10/82 ,  G06V10/95

Abstract: Systems and methods for learning differentially private machine-learned models are provided. A computing system can include one or more server computing devices comprising one or more processors and one or more non-transitory computer-readable media that collectively store instructions that, when executed by the one or more processors cause the one or more server computing devices to perform operations. The operations can include selecting a subset of client computing devices from a pool of available client computing devices; providing a machine-learned model to the selected client computing devices; receiving, from each selected client computing device, a local update for the machine-learned model; determining a differentially private aggregate of the local updates; and determining an updated machine-learned model based at least in part on the data-weighted average of the local updates.