Point of interest selection based on a user request

    公开(公告)号:US10018480B2

    公开(公告)日:2018-07-10

    申请号:US15332354

    申请日:2016-10-24

    Applicant: Google Inc.

    CPC classification number: G01C21/3682

    Abstract: Systems and methods of providing geographic location data to a user are disclosed. For instance, data indicative of a request for location data associated with a geographic information system can be received. A set of location constraints can be determined based at least in part on a predefined probability scheme associated with one or more attributes associated with a plurality of points of interest associated with the geographic information system. A plurality of candidate points of interest can be identified from the plurality of points of interest, such that each candidate point of interest satisfies each constraint of the determined set of constraints. A point of interest can be selected for presentation to a user from the plurality of candidate points of interest. Data associated with the selected point of interest can be provided to a user device associated with the geographic information system.

    POWERING ELECTRONIC DEVICES IN A DATA CENTER
    392.
    发明申请

    公开(公告)号:US20180192538A1

    公开(公告)日:2018-07-05

    申请号:US15395323

    申请日:2016-12-30

    Applicant: Google Inc.

    CPC classification number: H05K7/1492 G06F1/26 H05K7/1497

    Abstract: A data center power system includes an electrical power conductor that includes a live conductor surface and is configured to carry direct current (DC) power from a power source through a human-occupiable workspace of a data center; a grounded conductor positioned in the human-occupiable workspace apart from the electrical power conductor; a first electrical connector configured to mount to a data center rack that supports a plurality of electronic devices, the first electrical connector moveable to electrically contact the live conductor surface of the electrical power conductor; and a second electrical conductor positioned on the rack and configured to electrically contact the grounded conductor.

    ELECTRONIC VERIFICATION SYSTEM USING DIGITAL FOOTPRINT

    公开(公告)号:US20180191699A1

    公开(公告)日:2018-07-05

    申请号:US15479910

    申请日:2017-04-05

    Applicant: Google Inc.

    Inventor: Cinthia Assali

    Abstract: A system of authenticating an account user includes an electronic device having a processor and a non-transitory computer-readable storage medium. The system causes an interface to be outputted by the electronic device that includes a graphical element via which a user of the electronic device who is attempting to access an electronic account can initiate a digital history verification process. The system receives a selection of the graphical element, accesses an indication of one or more electronic sources of digital history information and receives digital history information of the user that has been collected by the electronic sources. The system receives one or more verification questions that are based on at least a portion of the digital history information. The system receives from the user answers to the verification questions. In response to determining that every answer is correct, the system grants the user access to the electronic account.

    DATA STRUCTURE POOLING OF VOICE ACTIVATED DATA PACKETS

    公开(公告)号:US20180190299A1

    公开(公告)日:2018-07-05

    申请号:US15395707

    申请日:2016-12-30

    Applicant: Google Inc.

    Abstract: Systems and methods of voice activated thread management in a voice activated data packet based environment are provided. A natural language processor (“NLP”) component can receive and parse data packets comprising a first input audio signal to identify a first request and a first trigger keyword. A direct action application programming interface (“API”) can generate a first action data structure with a parameter defining a first action. The NLP component can receive and parse a second input audio signal to identify a second request and a second trigger keyword, and can generate a second action data structure with a parameter defining a second action. A pooling component can generate the first and second action data structures into a pooled data structure, and can transmit the pooled data structure to a service provider computing device to cause it device to perform an operation defined by the pooled data structure.

    SYSTEMS AND METHODS FOR LIGHTFIELD RECONSTRUCTION UTILIZING CONTRIBUTION REGIONS

    公开(公告)号:US20180190006A1

    公开(公告)日:2018-07-05

    申请号:US15395278

    申请日:2016-12-30

    Applicant: Google Inc.

    Inventor: Ryan OVERBECK

    Abstract: A method for rendering a view from a lightfield includes identifying a ray associated with a portion of the view and selecting a set of camera views from a plurality of camera views representing the lightfield based on an intersection point of the ray with a plane. Each camera view has an associated contribution region disposed on the plane. The associated contribution region overlaps contribution regions associated with other camera views of the set of camera views at the intersection point. The method also includes determining a characteristic of the ray based on a contribution factor for each camera view of the set of camera views. The contribution factor is determined based on the relative position of the intersection point within the associated contribution region.

    Machine-learned virtual sensor model for multiple sensors

    公开(公告)号:US20180189647A1

    公开(公告)日:2018-07-05

    申请号:US15393322

    申请日:2016-12-29

    Applicant: Google, Inc.

    CPC classification number: G06N3/08 G05B13/0265 G06N3/00 G06N5/022

    Abstract: The present disclosure provides systems and methods that leverage machine learning to refine and/or predict sensor outputs for multiple sensors. In particular, systems and methods of the present disclosure can include and use a machine-learned virtual sensor model that has been trained to receive sensor data from multiple sensors that is indicative of one or more measured parameters in each sensor's physical environment, recognize correlations among sensor outputs of the multiple sensors, and in response to receipt of the sensor data from multiple sensors, output one or more virtual sensor output values. The one or more virtual sensor output values can include one or more of refined sensor output values and one or more predicted future sensor output value.

    VIRTUAL ASSISTANT GENERATION OF GROUP RECOMMENDATIONS

    公开(公告)号:US20180189629A1

    公开(公告)日:2018-07-05

    申请号:US15394979

    申请日:2016-12-30

    Applicant: Google Inc.

    Abstract: In one example, a method includes generating, responsive to receiving a request for a recommendation for a group of users and based on first privacy level data for users of the group, an original list of recommendations for the group. In this example, the method further includes evaluating, by respective computational assistants associated with the users of the group and based on respective second privacy level data for the users of the group, recommendations from the original list of recommendations for inclusion in a pruned list of recommendations for the group, wherein the second privacy level is more restricted than the first privacy level. In this example, the method further includes, in response to the pruned list of recommendations including at least one recommendation, outputting, for presentation to the users of the group, the pruned list of recommendations.

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