Google Inc.

Ibrahim Badr

Zaheed Sabur

Denis Burakov

Andrea Terwisscha Van Scheltinga

Koa Metter

Quentin Lascombes De Laroussilhe

Vladyslav Lysychkin

Mikhail Golikov

Imran R Mansuri

Behshad Behzadi

Fredrik Bergenlid

Gokhan Hasan Bakir

Adrian Zumbrunnen

Roland Peter Kehl

Yunsong Guo

Thomas Jonathan Stone

Kaan Yucer

Daniel Patt

Vladimir Vuskovic

Lucas Mirelmann

Nils Grimsmo

Gökhan Bakir

Systems and methods for user-specific content generation can leverage parameter tuning based on user feedback data to tune a set of parameters for conditioning a machine-learned content generation model for the content generation. The set of parameters can be processed with the machine-learned content generation model to generate a model-generated content item that is associated with user tastes and interests. The parameter tuning can include processing user interactions associated with the model-generated content item to adjust the set of parameters.

Generative model soft prompt tuning for content item generation

Systems and methods for proactive query and content suggestion can include obtaining web data, determining a change event occurred, and generating a query and content suggestion. Generating the query and content suggestion can include processing data descriptive of the change event with a generative model to generate one or more model-generated query suggestions. One or more web resources can be obtained then processed to generate a change event summary. The one or more query suggestions and the change event summary can then be provided for display.

Proactive query and content suggestion with generative model generated question and answer

Systems and methods for identity management can leverage a blockchain to securely store and access personal data. Third party computing systems can request access to the personal data to obtain biometric data, medical history data, and/or other biological data associated with the user. The systems and methods can determine whether to provide access to the data and can generate log data to be logged in a view log based on the access provided.

Decentralized identity management for web3

Systems and methods for profile management across Web2 and Web3 environments can include a user profile database. The user profile database can store a plurality of keys associated with a plurality of blockchains. The systems and methods can process a user verification request, determine a particular blockchain associated with the user verification request, determine a particular key associated with the particular blockchain, and provide the particular key to the particular blockchain.

Identity management for Web2 and Web3 environments

Systems and methods for trigger event determination can include processing blockchain data to determine a trigger event. Data associated with the trigger event can be processed to determine a query. The query can then be utilized to recursively search a database for data descriptive of the trigger event occurring. A notification can then be provided to instruct a resulting action to be performed.

Authoritative factual service for blockchain smart contracts

Systems and methods for identifying token data can include processing blockchain data to determine candidate token data, which can be processed to determine whether the candidate token data is associated with a blockchain trigger event that is associated with a non-fungible token. The systems and methods can process the output action of a blockchain trigger event to determine whether the output action acts similar to the output action of a non-fungible token. The determination may be based on the candidate token data being associated with one or more standards. The identified token data can be indexed and can then be surfaced in response to a search query. The surfaced index data can be provided for display in a search results page.

Identifying non-fungible tokens and related content for indexing

Implementations relate to providing information items for display during a communication session. In some implementations, a computer-implemented method includes receiving, during a communication session between a first computing device and a second computing device, first media content from the communication session. The method further includes determining a first information item for display in the communication session based at least in part on the first media content. The method further includes sending a first command to at least one of the first computing device and the second computing device to display the first information item.

Assistance during audio and video calls

Methods, systems, and apparatus for controlling smart devices are described. In one aspect a method includes capturing, by a camera on a user device, a plurality of successive images for display in an application environment of an application executing on the user device, performing an object recognition process on the images, the object recognition process including determining that a plurality of images, each depicting a particular object, are required to perform object recognition on the particular object, and in response to the determination, generating a user interface element that indicates a camera operation to be performed, the camera option capturing two or more images, determining that a user, in response to the user interface element, has caused the indicated camera operation to be performed to capture the two or more images, and in response, determining whether a particular object is positively identified from the plurality of images.

Multi-angle object recognition

Methods, systems, and apparatus for selecting an input mode are described. In one aspect, a method includes receiving request data specifying a request to launch a virtual assistant application from a lock screen of a mobile device. In response to receiving the request data, input signals are obtained. A selection of an input mode for the virtual assistant application is made, from candidate input modes, based on the input signals. Each candidate input mode is of an input type different from each other input type of each other candidate input mode. The input types include an image type and an audio type. The input mode of the image type receives pixel data for input to the virtual assistant application. The input mode of the audio type receives audio input for the virtual assistant application. The virtual assistant application presents content selected based on input signals received using the selected input mode.

Selecting an input mode for a virtual assistant

Methods, systems, and apparatus for recognizing objects and providing content related to the recognized objects are described. In one aspect, a method includes detecting presence of one or more objects depicted in a viewfinder of a camera of the mobile device. In response to detecting the presence of the one or more objects, image data representing the one or more objects is sent to a content distribution system that selects content related to objects depicted in images. A location of each of the one or more objects in the viewfinder of the camera is tracked while waiting to receive content from the content distribution system. Content related to the one or more objects is received from the content distribution system. A current location of each object in the viewfinder is determined and the content related to the object is presented within the viewfinder at the current location of the object.

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New York, NY, United States of America

Ibrahim Badr