Abstract: The present disclosure provides computer-implemented methods, systems, and devices for generating multistep explanations for pedagogical exercises. A computing device receives a query from a user. The computing device determines that the query includes query data describing a pedagogical exercise to be solved. The computing device provides the query data as input to an explanatory machine-learned model. The computing device receives, as output from the explanatory machine-learned model, a pedagogical response, the pedagogical response including a multi-step explanation of a solution to the pedagogical exercise. The computing device provides the pedagogical response for display to a user.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Systems and methods of the present disclosure are directed to computer-implemented method for machine-learned multimodal search refinement. The method includes obtaining a query image embedding for a query image and a textual query refinement associated with the query image. The method includes processing the query image embedding and the textual query refinement with a machine-learned query refinement model to obtain a refined query image embedding that incorporates the textual query refinement. The method includes evaluating a loss function that evaluates a distance between the refined query image embedding and an embedding for a ground truth image within an image embedding space. The method includes modifying value(s) of parameter(s) of the machine-learned query refinement model based on the loss function.

Abstract: A multimodal search system is described. The system can receive image data captured by a camera of a user device. Additionally, the system can receive audio data associated with the image data. The audio data can be captured by a microphone of the user device. Moreover, the system can process the image data to generate visual features. Furthermore, the system can process the audio data to generate a plurality of words. The system can generate a plurality of search terms based on the plurality of words and the visual features. Subsequently, the system can determine one or more search results associated with the plurality of search terms and provide the one or more search results as an output.

Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.

Abstract: Methods and apparatus related to determining non-textual reply content for a reply to an electronic communication and providing the non-textual reply content for inclusion in the reply. Some of those implementations are directed to determining, based on an electronic communication sent to a user, one or more electronic documents that are responsive to the electronic communication, and providing one or more of those electronic documents for inclusion in a reply by the user to the electronic communication. For example, the electronic documents may be automatically attached to the reply and/or link(s) to the electronic documents automatically provided in the reply.

Abstract: An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Systems and methods of the present disclosure are directed to a computer-implemented method for multimodal search refinement. The method includes obtaining a visual search query from a user comprising one or more query images. The method includes providing a search interface for display to the user, the search interface comprising one or more result images responsive to the one or more query images and an interface element indicative of a request to the user to refine the visual search query. The method includes obtaining, from the user, textual data comprising a refinement to the visual search query. The method includes appending, by the computing system, the textual data to the visual search query to obtain a multimodal search query.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Methods and apparatus related to determining non-textual reply content for a reply to an electronic communication and providing the non-textual reply content for inclusion in the reply. Some of those implementations are directed to determining, based on an electronic communication sent to a user, one or more electronic documents that are responsive to the electronic communication, and providing one or more of those electronic documents for inclusion in a reply by the user to the electronic communication. For example, the electronic documents may be automatically attached to the reply and/or link(s) to the electronic documents automatically provided in the reply.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Methods and apparatus related to determining non-textual reply content for a reply to an electronic communication and providing the non-textual reply content for inclusion in the reply. Some of those implementations are directed to determining, based on an electronic communication sent to a user, one or more electronic documents that are responsive to the electronic communication, and providing one or more of those electronic documents for inclusion in a reply by the user to the electronic communication. For example, the electronic documents may be automatically attached to the reply and/or link(s) to the electronic documents automatically provided in the reply.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.

Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.