Abstract: A computerized method, system for, and computer-readable medium operable to: retrieve program details data about at least one media program. Retrieve social media posts involving the at least one media program. Match the retrieved program details data with the retrieved social media posts to find matching locations. Store time offset data corresponding to the matched locations within the at least one media program into at least one micropost. Rank the at least one media program by the number of microposts corresponding to the at least one media program. Present the at least one media program, each of the at least one media program with at least one micropost, wherein the at least one micropost comprises a link to the original social media page hosting the social media post and a video deeplink that plays a time off-set video, the time off-set video starting from the stored time offset data.

Abstract: A technique for improving progressive encoded JPEG includes displaying an oversmoothed version of an image as the image data is being received. The oversmoothed image may be smoothed according to a smoothing kernel, e.g., a convolution kernel (such as a Gaussian). The oversmoothed image is a first layer over which other image layers are displayed. It is noted that the oversmoothed image may present a recognizable version of the image to a user, including recognizable versions of various image features (e.g., persons, objects). As the other layers are rendered on the display, these image features remain visible to the user. That is, the image features are not artifacts that may disappear with the rendering of final image layers; this may occur with the conventional progressive encoded images and interferes with the user experience.

Abstract: Implementations described herein relate to causing certain reasoning with respect to why an automated assistant performed (or did not perform) certain fulfillment and/or alternate fulfillment of an assistant command. For example, implementations can receive user input that includes the assistant command, process the user input to determine data to be utilized in performance of the certain fulfillment or the alternate fulfillment of the assistant command, and cause the automated assistant to utilize the data to perform the certain fulfillment or the alternate fulfillment of the assistant command. In some implementations, output that includes the certain reasoning can be provided for presentation to a user in response to additional user input that requests the certain reasoning. In some implementations, a selectable element can be visually rendered and, when selected by the user, the output that includes the certain reasoning can be provided for presentation to the user.

Abstract: Implementations relate to generating a proficiency measure, and utilizing the proficiency measure to adapt one or more automated assistant functionalities. The generated proficiency measure is for a particular class of automated assistant actions, and is specific to an assistant device and/or is specific to a particular user. A generated proficiency measure for a class can reflect a degree of proficiency, of a user and/or of an assistant device, for that class. Various automated assistant functionalities can be adapted, for a particular class, responsive to determining the proficiency measure satisfies a threshold, or fails to satisfy the threshold (or an alternate threshold). The adaptation(s) can make automated assistant processing more efficient and/or improve (e.g., shorten the duration of) user-assistant interaction(s).

Abstract: On-device processor(s) of a client device may store, in on-device storage and in association with a time to live (TTL) in the on-device storage, a correction directed to ASR processing of audio data. The correction may include a portion of a given speech hypothesis that was modified to an alternate speech hypothesis. Further, the on-device processor(s) may cause an on-device ASR model to be personalized based on the correction. Moreover, and based on additional ASR processing of additional audio data, the on-device processor(s) may store, in the on-device storage and in association with an additional TTL in the on-device storage, a pseudo-correction directed to the additional ASR processing. Accordingly, the on-device processor(s) may cause the on-device ASR model to be personalized based on the pseudo-correction to prevent forgetting by the on-device ASR model.

Abstract: To select a lane in a multi-lane road segment for a vehicle travelling on the road segment, a system identifies, in multiple lanes and in a region ahead of the vehicle, another vehicle defining a target; the system applies an optical flow technique to track the target during a period of time, to generate an estimate of how fast traffic moves; and the system applies the estimate to machine learning (ML) model to generate a recommendation which one of the plurality of lanes the vehicle is to choose.

Abstract: A reading assistant tool implemented in a browser application facilitates the presentation of text content in a manner and format that addresses the reading and/or comprehension capabilities of individual users, while maintaining the context of the original content. The reading assistant tool outputs a reader view pane alongside a main content pane. Original content is presented in the main content pane, and simplified/reformatted content corresponding to text content extracted from the original content, is presented in the reader view pane. Scrolling of the extracted text content in the reader view pane is synchronized with scrolling of the original content in the main content pane, so that context is maintained as the user moves through the content. The concurrent presentation of the original content and the extracted text content allows the user to more easily consume the extracted text content, while also maintaining context as originally intended.

Abstract: Methods, systems, and media for selectively presenting broadcast content based on user interests are provided. In some implementations a method for selectively presenting broadcast content is provided, the method comprising: receiving user information; associating one or more athletes, each on a roster of a team in a sports organization, with the user based on the user information; identifying broadcast programs that a user device can present; determining broadcast programs that depict a game between teams in the sports organization that are relevant to an athlete associated with the user based on program metadata; receiving event metadata for the relevant broadcast programs that is indicative of events in the game depicted therein; determining that a portion of the first broadcast program is relevant to a first entity based on the event metadata; and causing the user device to present the portion of the first broadcast.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for validating interactions with false rendered elements. In one aspect, a method includes receiving a rendering notification and a declaration of a rendered element defined in an active window on a client device, detecting interaction with the rendered element at the client device, determining whether the interaction occurred at a declared location of the rendered element within the active window, and processing the interaction including: in response to determining that the interaction occurred: capturing a screenshot of the active window on the client device; verifying a visual appearance of the rendered element in the screenshot with a declared appearance of the rendered element, and generating an interaction attestation, thereby validating the interaction. In response to determining that the interaction did not occur, refraining from generating the interaction attestation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scheduling operations on a machine-learning accelerator having multiple tiles. The apparatus includes a processor having a plurality of tiles and scheduling circuitry that is configured to select a respective input activation for each tile of the plurality of tiles from either an activation line for the tile or a delay register for the activation line.

Abstract: Processor(s) of a client device of a user can receive a telephone call that is initiated by an additional user, and, in response to receiving the telephone call, identify an entity that is associated with the additional user, and determine, based on the entity that is associated with the additional user, whether to (1) fully automate the telephone call, or (2) partially automate the telephone call. In fully automating the telephone call, the processor(s) can cause a chatbot to engage in a corresponding conversation with the additional user and without prompting the user for any input. In partially automating the telephone call, the processor(s) can cause the chatbot to engage in a corresponding conversation with the additional user but with prompting the user for input(s) via suggestion chip(s). In some implementations, the processor(s) can further determine whether to (3) refrain from automating the telephone call entirely.

Abstract: Ultra light models and decision fusion for increasing the speed of intra-prediction are described. Using a machine-learning (ML) model, an ML intra-prediction mode is obtained. A most-probable intra-prediction mode is obtained from amongst available intra-prediction modes for encoding the current block. As an encoding intra-prediction mode, one of the ML intra-prediction mode or the most-probable intra-prediction mode is selected, and the encoding intra-prediction mode is encoded in a compressed bitstream. A current block is encoded using the encoding intra-prediction mode. Selection of the encoding intra-prediction mode is based on relative reliabilities of the ML intra-prediction mode and the most-probable intra-prediction mode.

Abstract: A method includes processing, using a speech recognizer, a first portion of audio data to generate a first lattice, and generating a first partial transcription for an utterance based on the first lattice. The method includes processing, using the recognizer, a second portion of the data to generate, based on the first lattice, a second lattice representing a plurality of partial speech recognition hypotheses for the utterance and a plurality of corresponding speech recognition scores. For each particular partial speech recognition hypothesis, the method includes generating a corresponding re-ranked score based on the corresponding speech recognition score and whether the particular partial speech recognition hypothesis shares a prefix with the first partial transcription.

Abstract: A method for handling contradictory queries on a shared device includes receiving a first query issued by a first user, the first query specifying a first long-standing operation for a digital assistant to perform, and while the digital assistant is performing the first long-standing operation, receiving a second query, the second query specifying a second long-standing operation for the digital assistant to perform. The method also includes determining that the second query was issued by another user different than the first user and determining, using a query resolver, that performing the second long-standing operation would conflict with the first long-standing operation. The method further includes identifying one or more compromise operations for the digital assistant to perform, and instructing the digital assistant to perform a selected compromise operation among the identified one or more compromise operations.

Abstract: Permission control and management for messaging application bots is described. A method can include providing a messaging application, on a first computing device associated with a first user, to enable communication between the first user and another user, and detecting, at the messaging application, a user request. The method can also include programmatically determining that an action in response to the user request requires access to data associated with the first user, and causing a permission interface to be rendered in the messaging application, the permission interface enabling the first user to approve or prohibit access to the data associated with the first user. The method can include accessing the data associated with the first user and performing the action in response to the user request, upon receiving user input from the first user indicating approval of the access to the data associated with the first user.

Abstract: A method for sharing read access to a document stored on memory hardware. The method includes receiving a shared read access command from a sharor sharing read access to a sharee for a document stored on memory hardware in communication with the data processing hardware, and receiving a shared read access request from the sharee. The shared read access command includes an encrypted value and a first cryptographic share value based on a write key, a read key, a document identifier, and a sharee identifier. The method also includes multiplying the first and second cryptographic share values to determine a cryptographic read access value. The cryptographic read access value authorizes read access to the sharee for the document. The method also includes storing a read access token for the sharee including the cryptographic read access value and the encrypted value in a user read set of the memory hardware.

Abstract: A method, device, and computer-readable storage medium for predicting pronunciation of a text sample. The method includes selecting a predicted text sample corresponding to an audio sample, receiving a correction text sample corresponding to the audio sample, updating an encoding of allowable pronunciations of the correction text sample based on the predicted text sample and the audio sample, the updated encoding of allowable pronunciations of the correction text sample including a pronunciation of the predicted text sample, and predicting a pronunciation of the correction text sample based on the updated encoding of allowable pronunciations of the correction text sample.

Abstract: This disclosure describes a method to calibrate a position of an optical image stabilization (OIS) lensing element 308 based on an electric current reading of one or more areas of a mobile imaging device 200. The position is a deviation from a center position, where the OIS lensing element 308 is not influenced by a force. A coupling compensation coefficient is generated based on the electric current reading. A derived value for the position is adjusted based on the coupling compensation coefficient. A scaling sensitivity coefficient is generated based on the electric current reading. The derived value for the position is further adjusted based on the scaling sensitivity coefficient. The coupling compensation coefficient and the scaling sensitivity coefficient are further based on maximum and minimum values for the Hall Effect sensor at the temperature reading and a calibration temperature.