Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.

Abstract: An encoding method for enabling privacy-preserving aggregation of private data can include obtaining private data including a private value, determining a probabilistic status defining one of a first condition and a second condition, producing a multiset including a plurality of multiset values, and providing the multiset for aggregation with a plurality of additional multisets respectively generated for a plurality of additional private values. In response to the probabilistic status having the first condition, the plurality of multiset values is based at least in part on the private value, and in response to the probabilistic status having the second condition, the plurality of multiset values is a noise message. The noise message is produced based at least in part on a noise distribution that comprises a discretization of a continuous unimodal distribution supported on a range from zero to a number of multiset values included in the plurality of multiset values.

Abstract: Example embodiments of the present disclosure relate to systems and methods for compressing attributes of volumetric and hypervolumetric datasets. An example system performs operations including obtaining a reference dataset comprising attributes indexed by a domain of multidimensional coordinates; subdividing the domain into a plurality of blocks respectively associated with a plurality of attribute subsets; inputting, to a local nonlinear operator, a latent representation for an attribute subset associated with at least one block of the plurality of blocks; obtaining, using the local nonlinear operator and based on the latent representation, an attribute representation of one or more attributes of the attribute subset; and updating the latent representation based on a comparison of the attribute representation and the reference dataset.

Abstract: The present disclosure is directed to a computer-implemented method for enabling private communications during a videoconference. The method includes receiving interface data associated with input from a first participant to a first participant device associated with the first participant and participating in the videoconference. The interface data includes requesting limiting transmission of communication data to a second participant device associated with a second participant and participating in the videoconference while excluding transmission of the communication data to third participant device(s) participating in the videoconference. The method includes obtaining the communication data associated with the first participant including audio data associated with the first participant.

Abstract: Systems, apparatuses, and methods for providing content using notifications with content-specific keywords are provided. In one example embodiment, a method includes identifying, by one or more computing devices, a media content item for a user of a user device. The method includes generating, by the one or more computing devices, a keyword for the user of the user device based at least in part on data associated with the media content item. The keyword is indicative of the media content item. The method includes providing, by the one or more computing devices to the user device, for display a notification indicating that the media content is available for the user. The notification includes the keyword and the keyword is viewable by the user.

Abstract: Training and/or utilization of machine learning model(s) (e.g., neural network model(s)) in automatically generating test case(s) for source code. Techniques disclosed herein can be utilized in generating test case(s) for unit test testing (or other white-box testing) and/or for functional testing (or other black-box testing). In some implementations, the machine learning model(s) can be trained on source code, unit test pairs. In some additional or alternative implementations, reinforcement learning techniques can be utilized to check for correctness of base source code, target source code pairs (e.g., by matching program execution of different branches).

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: A solution arranged to build or train a machine learning model (ML model) that can be uploaded to a server arranged to deploy the ML model to communicating devices. The ML model builder can build the ML model and a ML production pipeline. The ML production pipeline can train the ML model, convert the ML model to a web browser compatible format, and upload the converted ML model to the server. The ML model can receive as input a sequence of prior activities on one communicating device in the communicating devices, analyze the sequence of prior activities on the communicating device, predict a next activity on the communicating device based on the analysis of the sequence of prior activities, preemptively search a computer network based on the predicted next activity to find a computer asset, and preload the found computer asset to a storage in the communicating device.

Abstract: A first user, who is currently online, is associated with a meeting spot. A plurality of other users that have selected the meeting spot and are online is identified. Information about these other users is sent to a client device associated with the first user. Information for a second user of the plurality of other users is received from the client device associated with the first user. A third user is identified who is online and associated with the first and second users. Online communication is facilitated between the client devices associated with the first and second users and a client device associated with the third user responsive to a request from the client device associated with the first user to the client device associated with the third user to be introduced by the third user to the second user, while the second user has still selected the meeting spot.

Abstract: Methods and systems for determining an individual gaze value are disclosed herein. An exemplary method involves: (a) receiving gaze data for a first wearable computing device, wherein the gaze data is indicative of a wearer-view associated with the first wearable computing device, and wherein the first wearable computing device is associated with a first user-account; (b) analyzing the gaze data from the first wearable computing device to detect one or more occurrences of one or more advertisement spaces in the gaze data; (c) based at least in part on the one or more detected advertisement-space occurrences, determining an individual gaze value for the first user-account; and (d) sending a gaze-value indication, wherein the gaze-value indication indicates the individual gaze value for the first user-account.

Abstract: The present disclosure provides systems, methods, and computer program products for providing efficient embedding table storage and lookup in machine-learning models.

Abstract: Systems and methods are disclosed herein for processing a natural language query. A receiver circuitry receives the natural language query from a user. A natural language interpreter circuitry parses the natural language query to convert the natural language query into a plurality of categories and a plurality of variables, each variable in the plurality of variables corresponding to one category in the plurality of categories. A user interface displays to the user the plurality of categories' and the plurality of variables, and allows the user to modify at least one variable in the plurality of variables by providing a natural language utterance.

Abstract: Implementations set forth herein relate to management of casting requests and user inputs at a rechargeable device, which provides access to an automated assistant and is capable of rendering data that is cast from a separate device. Casting requests can be handled by the rechargeable device despite a device SoC of the rechargeable device operating in a sleep mode. Furthermore, spoken utterances provided by a user for invoking the automated assistant can also be adaptively managed by the rechargeable device in order mitigate idle power consumption by the device SoC. Such spoken utterances can be initially processed by a digital signal processor (DSP), and, based on one or more features (e.g., voice characteristic, conformity to a particular invocation phrase, etc.) of the spoken utterance, the device SoC can be initialized for an amount of time that is selected based on the features of the spoken utterance.

Abstract: Implementations set forth herein relate to rendering, at a message application, certain messages with a particular sorting scheme (e.g., a classification-based sorting scheme) based on the certain messages having transfer times that satisfy a transfer time threshold and, optionally, based on the certain messages being unread. Other messages rendered by the message application can be rendered with an alternative sorting scheme, such as chronologically. Utilization of the particular sorting scheme for the certain messages enables a user, viewing the messages, to review (e.g., reply-to, delete, and/or view) the certain messages with reduced latency, thereby allowing the certain messages to be more quickly reviewed and actioned when received.

Abstract: Some implementations are directed to adapting a client application on a feature phone based on experiment parameters. Some of those implementations are directed to adapting an assistant client application, where the assistant client application interacts with remote assistant component(s) to provide automated assistant functionalities via the assistant client application of the feature phone. Some implementations are additionally or alternatively directed to determining whether an invocation, of an assistant client application on a feature phone, is a request for transcription of voice data received in conjunction with the invocation, or is instead a request for an assistant response that is responsive to the transcription of the voice data (e.g., includes assistant content that is based on and in addition to the transcription, and that optionally lacks the transcription itself).