Abstract: Systems and methods of the present disclosure include a method for increasing teleconferencing bandwidth efficiency via presentation of remotely accessible content. The method includes receiving a request to present content to a teleconference from a presenting participant device of the teleconference. The method includes generating a unit of software instructions that is configured to cause a participant device to access the content from an originating location that differs from the presenting participant device, and display the content within a shared content interface of the teleconference configured to display a view of the content that is consistent between each participant device of the teleconference. The method includes providing the unit of software instructions to one or more non-presenting participant devices of the teleconference.

Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.

Abstract: Techniques and apparatuses are described for enabling a base station to enable peer-to-peer communication among multiple user equipment (UE) over a mmWave link. The techniques described herein overcome challenges that the multiple UEs might otherwise face in trying to establish peer-to-peer links on their own. By relying on the base station to grant air interface resources for the UE to perform peer-to-peer communications with the UE, the UE can communicate directly with the other UE, independent of links that the UE or the other UE maintains with the base station. Furthermore, reliance on the base station may help the UE and the other UE mitigate interference from other nearby mmWave links that are separate from the peer-to-peer wave link. In addition, by relying on the base station to specify the beam sweeping pattern, beam acquisition by the UE and the other UE may be improved.

Abstract: Systems and methods for providing a uni-card interface can provide for an interactive dynamic interface for providing information to a user. The uni-card interface may include a multi-state interface that can provide increasingly more detailed information upon each interaction. For example, the uni-card interface can provide a first state with condensed information, a second state with expanded information, and a third state with immersive information.

Abstract: Systems and methods are provided for generating a mapping application that displays an initial map with a zoom level that is based on a travel time associated with the location of the user. The mapping application receives a request to present a digital map from a client device. Based on the current geographic location of the client device, the mapping application estimates a distance in which a user of the client device can travel within a particular time period. The mapping application then selects a parameter for a viewport of the digital map based at least on the estimated distance. For example, the viewport parameter may be a zoom level. The mapping application then generates the digital map in accordance with the selected parameter, and displays the digital map via a user interface of the client device.

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

Abstract: In an embodiment, a computing system can include one or more processors and one or more non-transitory computer-readable media that store instructions that, when executed by the one or more processors, cause the computing system to perform operations. The operations can include: receiving an internal encoder state of an encoder running on a first computing device being used to participate in a video conference currently in progress; receiving data indicative of a second computing device being used to join the video conference; compressing, based at least in part on receipt of the data, the internal encoder state to generate a compressed internal encoder state of the encoder; and/or transmitting the compressed internal encoder state to the second computing device to synchronize the internal encoder state of the encoder running on the first computing device with an internal decoder state of a decoder running on the second computing device.

Abstract: A method includes receiving one or more past trajectories navigated by a robotic device in an environment, wherein the one or more past trajectories are associated with initial environmental sensor data and one or more obstacle detection heuristics. The method also includes determining, based at least on subsequent environmental sensor data, one or more updated obstacle detection heuristics. The method further includes determining, based on the one or more updated obstacle detection heuristics and the initial environmental sensor data, one or more predicted drivable areas in the environment. The method additionally includes, based on the one or more predicted drivable areas including the one or more past trajectories, using the one or more updated obstacle detection heuristics to determine future navigation of the robotic device.

Abstract: A game streaming system encodes a raw frame to generate an encoded frame for a game stream including a plurality of frames for display. The system identifies a first encoding artifact based on a first difference between the encoded frame and the raw frame, and applies an overlay to the encoded frame. The overlay includes a first visual indicator indicating the first encoding artifact.

Abstract: Methods and systems for displaying screens in extended reality are disclosed herein. The method can include receiving video data of a real-world environment of a user of an extended reality device and identifying a screen of a separate computing device in the video data. The method can also include pairing the extended reality device and the separate computing device, generating a graphical outline around the screen of the separate computing device, and displaying, by the processor, the screen of the separate computing device and the graphical outline around the screen of the separate computing device on a display of the extended reality device. The method can further include detecting a user interaction with the graphical outline around the screen of the separate computing device based on the received video data and in response to detecting the user interaction, performing an action associated with the user interaction.

Abstract: The present disclosure is generally related to systems and methods of rendering visual components on applications. At least one action-inventory can indicate to render a user interface component. A data processing system can identify a request from an input audio signal from a client device. The client device can display a first application in a foreground process. The data processing system can select an action-inventory to execute the action corresponding to the request by a second application. The data processing system can generate an action data structure using the action-inventory to provide to the second application. The data processing system can determine that an output of the second application is authorized to be presented with the first application. The data processing system can display, on the client device, a user interface component from the second application with the first application.

Abstract: 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.

Abstract: A flex circuit board can be used in transmitting signals in a quantum computing system. The flex circuit board can include at least one dielectric layer and at least one superconducting layer disposed on a surface of the at least one dielectric layer. The at least one superconducting layer can include a superconducting material. The superconducting material can be superconducting at a temperature less than about 3 kelvin. The flex circuit board can have at least one metal structure electroplated onto the at least one superconducting layer.

Abstract: Systems and methods of the present disclosure are directed toward digital signal processing using machine-learned differentiable digital signal processors. For example, embodiments of the present disclosure may include differentiable digital signal processors within the training loop of a machine-learned model (e.g., for gradient-based training). Advantageously, systems and methods of the present disclosure provide high quality signal processing using smaller models than prior systems, thereby reducing energy costs (e.g., storage and/or processing costs) associated with performing digital signal processing.

Abstract: Computer generated speech can be generated for cross-lingual natural language textual data streams by utilizing a universal phoneme set. In a variety of implementations, the natural language textual data stream includes a primary language portion in a primary language and a secondary language portion that is not in the primary language. Phonemes corresponding to the secondary language portion can be determined from a set of phonemes in a universal data set. These phonemes can be mapped back to a set of phonemes for the primary language. Audio data can be generated for these phonemes to pronounce the secondary language portion of the natural language textual data stream utilizing phonemes associated with the primary language.

Abstract: A computer-implemented method of generating scale-permuted models can generate models having improved accuracy and reduced evaluation computational requirements. The method can include defining, by a computing system including one or more computing devices, a search space including a plurality of candidate permutations of a plurality of candidate feature blocks, each of the plurality of candidate feature blocks having a respective scale. The method can include performing, by the computing system, a plurality of search iterations by a search algorithm to select a scale-permuted model from the search space, the scale-permuted model based at least in part on a candidate permutation of the plurality of candidate permutations.

Abstract: Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.

Abstract: Techniques of generating input for a kernel-based machine learning system that uses a kernel to perform classification operations on data involve generating unbiased estimators for gaussian kernels according to a new framework called Structured Orthogonal Random Features (SORF). The unbiased estimator KSORF to the kernel involves a linear transformation matrix WSORF computed using products of a set of pairs of matrices, each pair including an orthogonal matrix and respective diagonal matrix whose elements are real numbers following a specified probability distribution. Typically, the orthogonal matrix is a Walsh-Hadamard matrix, the specified probability distribution is a Rademacher distribution, and there are at least two, usually three, pairs of matrices multiplied together to form the linear transformation matrix WSORF.

Abstract: This document describes methods and systems for common search space configuration and system information acquisition. As part of the methods and systems, a base station (120) wirelessly communicating with a user equipment (110) that is in an engaged mode determines (402) to configure a common search space through which the user equipment (110) can receive a system information block that is other than a system information block type 1 or a master information block. The base station (120) transmits a first message (404) that includes a set of common search space configuration parameters for the user equipment (110) to receive the other system information block. The base station (120) transmits (406), in accordance with the set of common search space configuration parameters, a second message that includes the other system information block.