Abstract: Systems and methods of the present disclosure relate generally to a data processing system that identifies possibly manipulated or fraudulent digital components in a computer network environment. The data processing system can improve the efficiency and effectiveness of data packet (or other protocol based) transmission over one or more computer networks by, for example, preventing or reducing the number of manipulated or fraudulent digital component transmissions.

Abstract: A computer-implemented method is disclosed for training one or more machine-learned models. The method can include inputting a first image frame and a second image frame into a feature disentanglement model and receiving, as an output of the machine-learned feature disentanglement model, a state feature and a perspective feature. The method can include inputting the state feature and the perspective feature into a machine-learned decoder model and receiving, as an output of the machine-learned decoder model, the reconstructed image frame. The method can include comparing the reconstructed image frame with a third image frame corresponding with the location and the perspective orientation. The method can include adjusting one or more parameters of the machine-learned feature disentanglement model based on the comparison of the reconstructed image frame and the third image frame.

Abstract: A method includes accessing, by a server computer, a plurality of electronic mail messages. The method also includes identifying, by the server computer, at least one of the electronic mail messages as a promoted electronic mail message. The method further includes outputting, for display at a client computing device, an electronic mail interface wherein the promoted electronic mail message is represented in a first position of a display order and a remainder of the electronic mail messages are represented subsequent to the promoted electronic mail message in the display order.

Abstract: In a general aspect, a head-mounted device (HMD) can be configured to receive a selection of a mode of operation of a content reader of the HMD from a plurality of modes of operation, and initiate, in response to the selection, a content capture process to capture content within a field of view (FOV) of a camera of the HMD. The HMD can be further configured to identify, in the captured content, a plurality of content items, receive a navigation command to select a content item from the plurality of content items, and provide, in response to the navigation command, readback of the selected content item.

Abstract: Methods, apparatus, and computer readable media are described herein for allowing a first user to interface with an automated assistant to assign tasks to additional user(s), and/or for causing notification(s) of the assigned task to be rendered to the additional user(s) via corresponding automated assistant interface(s). In various implementations, one or more criteria can be utilized in selecting a group of client device(s), linked to the additional user, via which to provide the notification(s) for the task assigned to the additional user. Also, in various implementations condition(s) for providing the notification(s) for the task can be determined, and the notification(s) provided based on determining satisfaction of the condition(s).

Abstract: Provided are methods, systems, devices, and tangible non-transitory computer readable media for providing data including vehicle map service data. The disclosed technology can perform operations including receiving vehicle map service data from a plurality of service systems that include a plurality of client systems associated with a vehicle. The vehicle map service data can include information associated with a geographic area. A local map of the geographic area within a predetermined distance of the vehicle can be generated based on the vehicle map service data. Portions of the local map to which each client system is subscribed can be determined for each client system of the plurality of client systems. Additionally, the portions of the local map to which each client system is subscribed can be sent to a respective client system of the plurality of client systems.

Abstract: The present disclosure relates generally to machine learning. More particularly, the present disclosure relates to systems and methods that regularize neural networks by decorrelating neurons or other parameters of the neural networks during training of the neural networks promoting these parameter to innovate over one another.

Abstract: A method is disclosed for presenting media content on a first client computer of client computers that are participating in a collaboration session. The method including receiving the media content from a server, presenting the media content at the first client computer, receiving a selection of an option that defines how annotations on the media content received from the client computers are to be formatted for real-time display on the media content at the client computers participating in the collaboration session, sending the option to the server to cause any annotations on the media content received from the client computers to be formatted based on the option, receiving, at the first client computer, an annotation formatted by the server based on the option and information received from a second client computer of the client computers, and presenting the formatted annotation on the media content at the first client computer.

Abstract: The present disclosure provides systems and methods that provide a lean-back, interactive experience that enables a user to browse and understand content items (e.g., news articles or reactions) that provide different perspectives around a topic (e.g., a news story). In particular, the systems and methods can provide context around a topic by assembling a wide-range of interesting content around a topic and seamlessly allowing users to scan through articles by surfacing unique information contained in them. The systems and methods of the present disclosure can read, understand, and organizes thousands of documents around a topic, hence allowing easy consumption of news.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting a continued conversation are disclosed. In one aspect, a method includes the actions of receiving first audio data of a first utterance. The actions further include obtaining a first transcription of the first utterance. The actions further include receiving second audio data of a second utterance. The actions further include obtaining a second transcription of the second utterance. The actions further include determining whether the second utterance includes a query directed to a query processing system based on analysis of the second transcription and the first transcription or a response to the first query. The actions further include configuring the data routing component to provide the second transcription of the second utterance to the query processing system as a second query or bypass routing the second transcription.

Abstract: Techniques are described herein for automated assistants that proactively provide content to participant(s) of multi-participant message exchange threads (e.g., group chats, audio and/or video calls in which oral messages are transcribed for analysis, etc.) based on signals such as individual participant profiles associated with participant(s). In various implementations, automated assistant(s) that may not be explicitly invoked may analyze content of a message exchange thread involving multiple human participants and/or document(s) associated with the message exchange thread. Based on the analyzing, the automated assistant(s) may identify topic(s) pertinent to the message exchange thread. Based on individual participant profiles associated with the participants, the automated assistant(s) may identify shared interest(s) of the participants.

Abstract: Disclosed are various embodiments for selecting augmenting reality (AR) objects based on contextual cues associated with an image captured by a camera associated with electronic device. Contextual cues are obtained at an electronic device and AR objects are identified from a memory associated with the electronic device. The electronic device implements a processor employing image segmentation techniques to combine the identified AR objects with the captured image and render the combined image for display at a display associated with the electronic device.

Abstract: Managing rendering of a graphical user interface is provided. A system receives data packets comprising an input audio signal. The system determines an application identifier and query. The system provides the query to the application to cause the application to generate a second query for transmission to a third-party server, and identify responses to the query. The system intercepts the responses, and generates a keyword based on the responses. The system selects a digital component using the keyword, executes a deduplication process, and determines to add the digital component to the responses. The system constructs a display output using a graphical user interface template that integrates the plurality of responses generated by the application with the digital component, and provides the display output to the computing device for rendering.

Abstract: Example aspects of the present disclosure are directed to systems and methods for learning classification models which satisfy constraints such as, for example, constraints that can be expressed as a predicted positive rate or negative rate on a subset of the training dataset. In particular, through the use of quantile estimators, the systems and methods of the present disclosure can transform a constrained optimization problem into an unconstrained optimization problem that is solved more efficiently and generally than the constrained optimization problem. As one example, the unconstrained optimization problem can include optimizing an objective function where a decision threshold of the classification model is expressed as an estimator of a quantile function on the classification scores of the machine-learned classification model for a subset of the training dataset at a desired quantile.

Abstract: The present disclosure provides systems, methods, and computer program products for transmitting data to computing devices via audio communication channels. A computer-implemented method performed by one or more processing devices may include, for example, providing an audio token to a broadcasting device for broadcast via an audio communication channel, receiving the audio token from a user computing device, the audio token being received from the user computing device based on an audio broadcast of the audio token by the broadcasting device via the audio communication channel, and obtaining, in response to determining data that is associated with the received audio token, approval to process a payment transaction by at least in part transmitting the data to the user computing device.