Attention-based decoder-only sequence transduction neural networks

    公开(公告)号:US12271817B2

    公开(公告)日:2025-04-08

    申请号:US18403966

    申请日:2024-01-04

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.

    Smart-device-based radar system for vehicle operations

    公开(公告)号:US12270898B2

    公开(公告)日:2025-04-08

    申请号:US17765970

    申请日:2019-10-17

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of determining characteristics of objects external to a vehicle, occupants within a vehicle, and objects proximal to an open-air vehicle. In particular, the system enables a smart device to perform many vehicle operations such as collision avoidance, occupant detection, and parking assistance in vehicle and open-air vehicle environments without integrated radar technology. By using a smart device to perform such actions, existing vehicles and open-air vehicles without integrated radar functionality may be able to leverage radar-based vehicle operations.

    MULTIPLE PROFILE DOWNLOADS FOR USER EQUIPMENT

    公开(公告)号:US20250113176A1

    公开(公告)日:2025-04-03

    申请号:US18479342

    申请日:2023-10-02

    Applicant: GOOGLE LLC

    Inventor: Edison Chen

    Abstract: A user equipment (UE) concurrently downloads available subscriber identity module (SIM) profiles. The UE identifies a condition wherein one or more SIM profiles is available for download. The UE first identifies the number of available SIM profiles and, in response to identifying multiple available SIM profiles, concurrently downloads at least two of the SIM profiles to the UE. This enables the UE to more quickly use the available SIM profiles to connect to corresponding networks, thereby improving the user experience with the UE.

    BEHAVIORAL MODELING FOR DYNAMIC SECURITY CONTROL APPLICATIONS

    公开(公告)号:US20250112874A1

    公开(公告)日:2025-04-03

    申请号:US18374375

    申请日:2023-09-28

    Applicant: Google LLC

    Abstract: Baseline data characterizing actions of one or more computing resources associated with one or more entities is received. One or more functional roles performed by the one or more computing resources are identified using a machine learning model, wherein the baseline data is provided as input to the machine learning model. A security-related control to be applied to the one or more computing resources is identified based on the one or more functional roles. The security-related control is applied to the one or more computing resources.

    MEDIA TREND DETECTION AND MAINTENANCE AT A CONTENT SHARING PLATFORM

    公开(公告)号:US20250111675A1

    公开(公告)日:2025-04-03

    申请号:US18900467

    申请日:2024-09-27

    Applicant: Google LLC

    Abstract: Methods and systems for media trend detection and maintenance are provided herein. A set of media items each having common media characteristics is identified. A set of pose values is determined for each respective media item of the set of media items. Each pose value is associated with a particular predefined pose for objects depicted by the set of media items. A set of distance scores is calculated. Each distance score represents a distance between the respective set of pose values determined for a media item and a respective set of pose values determined for an additional media item. A coherence score is determined for the set of media items based on the calculated set of distance scores. Responsive to a determination that the coherence score satisfies one or more coherence criteria, a determination is made that the set of media items corresponds to a media trend of a platform.

    VISUALIZING MEDIA TRENDS AT A CONTENT SHARING PLATFORM

    公开(公告)号:US20250111666A1

    公开(公告)日:2025-04-03

    申请号:US18900471

    申请日:2024-09-27

    Applicant: Google LLC

    Abstract: Methods and systems for visualizing media trends at a content sharing platform are provided herein. A request of a client device is received for media items of a platform. A graphical user interface (GUI) including audiovisual content of one or more media items and an indication that the media items are associated with a media trend of the platform is provided for presentation on the client device. The media trend is associated with a set of media items, where content of the set of media items share common audiovisual characteristics in accordance with a concept of the media trend A user interaction with a GUI element associated with the media items is detected. Responsive to the detection, an additional GUI is provided for presentation on to the client device, the additional GUI including audiovisual content of a set of media items associated with the media trend.

    ENHANCED MACHINE LEARNING TECHNIQUES USING DIFFERENTIAL PRIVACY AND SELECTIVE DATA AGGREGATION

    公开(公告)号:US20250111272A1

    公开(公告)日:2025-04-03

    申请号:US18574668

    申请日:2023-04-25

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing digital contents to client devices are described. The system obtains, for each user in a set of users, user attribute data and, for a subset of the users, consent data for controlling usage of the user attribute data. The system partitions, based at least on the consent data for the subset of users, the set of users into a first group of users and a second group of users. The system generates a respective training dataset based on the data for each group of user, and uses the datasets to train a machine learning model configured to predict information about one or more users. In particular, the system applies differential privacy to the second training dataset without applying differential privacy to the first training dataset during training.

    PARAMETRIC FLUORESCENT READOUT FOR SUPERCONDUCTING QUBITS

    公开(公告)号:US20250111259A1

    公开(公告)日:2025-04-03

    申请号:US18476673

    申请日:2023-09-28

    Applicant: Google LLC

    Abstract: The technology provides fluorescent readout of microwave-type qubits using a paracoupler architecture. A quantum computing system comprises a set of qubits configured to be responsive to one or more microwave signals and a control apparatus configured to apply the one or more microwave signals to the set of qubits. The control apparatus includes a set of control lines configured to transmit the one or more microwave signals to corresponding ones of the set of qubits. The system also includes a readout apparatus configured to perform qubit measurements. The readout apparatus including a readout line operatively coupled to the qubits. A paracoupler operatively arranged between the set of qubits and the readout apparatus is configured to enable parametric fluorescent readout of the qubits via the readout apparatus. When the paracoupler is not driven it prevents coupling of the qubits with the readout line.

    RELATIVE MARGIN FOR CONTRASTIVE LEARNING

    公开(公告)号:US20250111235A1

    公开(公告)日:2025-04-03

    申请号:US18900506

    申请日:2024-09-27

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training neural networks through contrastive learning. In particular, the contrastive learning is modified to use a relative margin to adjust a training pair's contribution to optimization.

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