Google Inc.

Nils Grimsmo

Ibrahim Badr

Behshad Behzadi

Fredrik Bergenlid

Aayush Kumar

Marcin M Nowak-Przygodzki

Gokhan Hasan Bakir

Evgeny A Cherepanov

Matthias Heiler

Karoly Csalogany

Alessandro Agostini

Aurelien Boffy

Bianca Madalina Buisman

Goekhan Hasan Bakir

Gökhan Hasan Bakir

Roland Peter Kehl

Kamil Anikiej

Viacheslav Kuznetsov

Jessica Lee

Gökhan Bakir

Fabian Roth

Aurélien Boffy

David Trotter Oleson

Methods, apparatus, and computer readable media are described related to causing processing of sensor data to be performed in response to determining a request related to an environmental object that is likely captured by the sensor data. Some implementations further relate to determining whether the request is resolvable based on the processing of the sensor data. When it is determined that the request is not resolvable, a prompt is determined and provided as user interface output, where the prompt provides guidance on further input that will enable the request to be resolved. In those implementations, the further input (e.g., additional sensor data and/or the user interface input) received in response to the prompt can then be utilized to resolve the request.

Resolving automated assistant requests that are based on image(s) and/or other sensor data

Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.

Dynamically adjusting instructions in an augmented-reality experience

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining query refinements using search data. In one aspect, a method includes receiving a first query and a second query each comprising one or more n-grams for a user session, determining a first set of query refinements for the first query, determining a second set of query refinements from the first set of query refinements, each query refinement in the second set of query refinements including at least one n-gram that is similar to an n-gram from the first query and at least on n-gram that is similar to an n-gram from the second query, scoring each query refinement in the second set of query refinements, selecting a third query from a group consisting of the second set of query refinements and the second query, and providing the third query as input to a search operation.

Query refinements using search data

A computer-implemented method is described. The method includes a computing system receiving an item of digital content from a user device. The computing system generates one or more labels that indicate attributes of the item of digital content. The computing system also generates one or more conversational replies to the item of digital content based on the one or more labels that indicate attributes of the item of digital content. The method also includes the computing system selecting a conversational reply from among the one or more conversational replies and providing the conversational reply for output to the user device.

Personality reply for digital content

Methods, systems, and apparatus for controlling smart devices are described. In one aspect a method includes receiving image data for an image captured by a camera of a mobile device of a user and determining that the image depicts at least one of a smart device or a physical control for the smart device. In response to determining that that the image depicts a smart device or a physical control for the smart device, identifying one or more user interface controls for controlling the smart device, and generating and presenting, at a display of the mobile device, the one or more user interface controls for controlling the smart device. The method can further include detecting, at the display of the mobile device, user interaction with at least one of the one or more user interface controls, and controlling the smart device based on the detected user interaction.

Identifying and controlling smart devices

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextually disambiguating queries are disclosed. In an aspect, a method includes receiving an image being presented on a display of a computing device and a transcription of an utterance spoken by a user of the computing device, identifying a particular sub-image that is included in the image, and based on performing image recognition on the particular sub-image, determining one or more first labels that indicate a context of the particular sub-image. The method also includes, based on performing text recognition on a portion of the image other than the particular sub-image, determining one or more second labels that indicate the context of the particular sub-image, based on the transcription, the first labels, and the second labels, generating a search query, and providing, for output, the search query.

Contextually disambiguating queries

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query provided from a user device, and determining that the query implicitly references some entity, and in response: obtaining an approximate location and an approximate orientation of the user device, obtaining a set of entities including one or more entities, each entity in the set of entities being at least partially within a range that is based on the approximate location and that includes an extended portion based on the approximate orientation, selecting an entity from the set of entities, and providing a revised query based on the query and the entity, the revised query explicitly referencing the entity.

Interpreting user queries based on device orientation

Growing community of inventors

Adliswil, Switzerland

Nils Grimsmo