公开(公告)号：WO2019108279A1

公开(公告)日：2019-06-06

申请号：PCT/US2018/045992

申请日：2018-08-09

Applicant: GOOGLE LLC

Inventor： FEUZ, Sandro ,  CARBUNE, Victor

IPC: G06F9/54 ,  G06N99/00

Abstract: The present disclosure provides an on-device machine learning platform that enables sharing of machine-learned models between applications on a computing device. For example, a first application which has a machine-learned model for a specific task can expose the model to other applications through a system level application programming interface (API) for the other applications to use. Communications using the API can be handled by the on-device machine learning platform. In some implementations, some exchange of resources (e.g., computing resources) can be provided so that the first application is compensated for sharing the machine-learned model (e.g., on a per model invocation basis).

公开(公告)号：WO2019050575A1

公开(公告)日：2019-03-14

申请号：PCT/US2018/032093

申请日：2018-05-10

Applicant: GOOGLE LLC

Inventor： CARBUNE, Victor ,  FEUZ, Sandro

IPC: G06F17/30 ,  H04L29/08

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for implementing advanced information retrieval are described. A user may provide fetching parameter values to acquire content. The system may determine whether or not the user-provided fetching parameter values can be satisfied. If the fetching parameters can be satisfied, the system obtains and caches the information.

公开(公告)号：WO2021141568A1

公开(公告)日：2021-07-15

申请号：PCT/US2020/012352

申请日：2020-01-06

Applicant: GOOGLE LLC

Inventor： FEUZ, Sandro ,  DESELAERS, Thomas

IPC: G06F21/32 ,  G06F21/62 ,  G06N3/02 ,  G06K9/00 ,  G06F16/51 ,  G06F16/535 ,  G06N20/00 ,  G06F16/41 ,  G06F16/438 ,  G06F16/951 ,  G06F21/602 ,  G06F21/6245 ,  G06K9/00288 ,  G06N3/0454

Abstract: This document describes techniques and systems that enable privacy controls for sharing embeddings for searching and indexing media content. A set of images of a user's face are obtained and a machine-learned model (122) is applied to the set of images to generate a user-specific dataset (124) of face embeddings for the user. Media content stored in a media storage (116, 136) is indexed by applying the machine-learned model (122) to the media content to provide indexed media information (118) identifying one or more faces shown in the media content. Access to the indexed media information (118) by another user querying the media content for images or videos depicting the user is controlled based on a digital key (112) shared by the user with the other user, where the digital key (112) is associated with the user-specific dataset (124) and the user-specific dataset (124) is usable to identify the images or videos depicting the user.

公开(公告)号：WO2020086107A1

公开(公告)日：2020-04-30

申请号：PCT/US2019/015414

申请日：2019-01-28

Applicant: GOOGLE LLC

Inventor： MILLIUS, Sebastian ,  FEUZ, Sandro

IPC: G06F17/27

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.

公开(公告)号：WO2021015705A1

公开(公告)日：2021-01-28

申请号：PCT/UA2019/000095

申请日：2019-07-23

Applicant: GOOGLE LLC

Inventor： CARBUNE, Victor ,  MAKSAI, Andrii ,  FEUZ, Sandro

IPC: H04N21/482 ,  H04N21/8541 ,  H04N21/845 ,  H04N21/266 ,  H04N21/8545 ,  H04N21/8405 ,  H04N21/258

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, identify and classify the various video pathways in an interactive video based on the content of these video pathways. A video comprising multiple video segments is obtained from a video library. Each video segment is directly linked to at least one other video segment and the multiple video segments comprise a beginning segment, intermediate segments (including interactive segments), and final segments. Multiple video pathways in the video are identified. For each identified video pathway, classification data is generated and each such video pathway is then stored in the video library. When the video is selected from a particular category of the video library, the video segments of a video pathway that has a classification which is the same as the classification associated with the particular category, is then displayed.

公开(公告)号：WO2020263228A1

公开(公告)日：2020-12-30

申请号：PCT/US2019/038940

申请日：2019-06-25

Applicant: GOOGLE LLC

Inventor： CARBUNE, Victor ,  FEUZ, Sandro

IPC: G06N5/02 ,  G06F40/205 ,  G06F40/35 ,  G06F16/95 ,  G06F3/16 ,  G06F16/901 ,  G06Q50/00 ,  G06F16/953 ,  G06N3/04 ,  G06N3/08 ,  G06N7/00

Abstract: Techniques and a framework are described herein for constructing and/or updating, e.g. , on top of a general-purpose knowledge graph, an "event-specific provisional knowledge graph." In various implementations, live data stream(s) may be analyzed to identify entity(s) associated with a developing event. The entity(s) may form part of a general-purpose knowledge graph that includes entity nodes and edges between the entity nodes. Based on the identified one or more entities, an event-specific provisional knowledge graph may be constructed or updated in association with the developing event. In some implementations, the event-specific provisional knowledge graph may be queried for new information about the developing event. Computing devices may be caused to render, as output, the new information.

公开(公告)号：WO2020096584A1

公开(公告)日：2020-05-14

申请号：PCT/US2018/059588

申请日：2018-11-07

Applicant: GOOGLE LLC

Inventor： DESELAERS, Thomas ,  FEUZ, Sandro

IPC: G01C21/34

Abstract: A navigation service determines that a first user intends to navigate to a shared destination from a first location, at a first time, and that a second user intends to navigate to the shared destination from a second location, at a second time within a threshold interval of the first time. The navigation service notifies the first user using an electronic notification that the second user intends to navigate to the shared destination, receives from the first user an electronic request to coordinate navigation to the shared destination with the second user, and in response to receiving the electronic request, provides navigation directions to the shared destination to a device associated with the first user in view of a progress of the second user toward the shared destination.

公开(公告)号：WO2019117983A1

公开(公告)日：2019-06-20

申请号：PCT/US2018/019220

申请日：2018-02-22

Applicant: GOOGLE LLC

Inventor： CARBUNE, Victor ,  FEUZ, Sandro

IPC: H04L29/06

CPC classification number: H04L63/102

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for extending application access across devices. In some implementations, an electronic device receives a request to provide access to the electronic device to a particular user that is not registered as a user of the electronic device. The electronic device receives authentication credentials for the particular user. The electronic device provides the authentication credentials to a server system and receives data from the server system that (i) indicates that the providing access to the electronic device in a guest mode is authorized, and (ii) indicates a state of an instance of an application installed on a second device. The electronic device provides access to the electronic device in the guest mode that provides an interface that at least partially recreates the state of the instance of the application installed on the second device.

公开(公告)号：WO2018151776A1

公开(公告)日：2018-08-23

申请号：PCT/US2017/059400

申请日：2017-10-31

Applicant: GOOGLE LLC

Inventor： FEUZ, Sandro ,  MILLIUS, Sebastian

IPC: G06Q10/10

Abstract: This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.

公开(公告)号：WO2020139406A1

公开(公告)日：2020-07-02

申请号：PCT/US2019/013752

申请日：2019-01-16

Applicant: GOOGLE LLC

Inventor： FEUZ, Sandro ,  DESELAERS, Thomas

IPC: H04M3/42 ,  H04M1/57

Abstract: Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data ( e.g. , calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.