Evaluating Computer-Readable Code

    公开(公告)号:US20250110850A1

    公开(公告)日:2025-04-03

    申请号:US18900075

    申请日:2024-09-27

    Applicant: Google LLC

    Abstract: Techniques are described for evaluating computer-readable code. In example aspects, a machine-learned model is trained to evaluate computer-readable code and/or its corresponding code description. As part of the evaluation, the machine-learned model can determine a level of agreement between the code description and the computer-readable code. Additionally or alternatively, the machine-learned model can determine that a prohibited feature is absent from (or present in) the computer-readable code. If present, the prohibited feature can compromise a security of a device that executes the computer-readable code, a safety of a user operating the device, and/or the user's privacy. Additionally or alternatively, the prohibited feature can violate a policy of a manufacturer of the device. With this machine-learned model, the manufacturer can efficiently evaluate computer-readable code and code descriptions that are provided by a third-party developer and can determine whether to make the third-party software available to users via a digital distribution platform.

    Summarizing Events Over a Time Period

    公开(公告)号:US20250111674A1

    公开(公告)日:2025-04-03

    申请号:US18420466

    申请日:2024-01-23

    Applicant: Google LLC

    Abstract: This document describes systems and techniques for implementing event summarization over a period of time. A request is received to create an event summarization that includes details associated with the event summarization. The systems and techniques identify at least one image relevant to the event summarization based on the details associated with the event summarization. At least one of the identified images is selected that is relevant to the event summarization. The selected images are arranged based on how they will be included in the event summarization. A video summary is created that represents the event summarization and includes the arrangement of the selected images.

    Personalized Suggestion Manager
    3.
    发明申请

    公开(公告)号:US20250117234A1

    公开(公告)日:2025-04-10

    申请号:US18903803

    申请日:2024-10-01

    Applicant: Google LLC

    Abstract: This document describes systems and techniques for implementing personalized suggestions for a user interacting with a facility management system based on contextual metadata to assist the user in controlling the facility management system. For example, a system includes a request module configured to receive a request from a user. A metadata module is configured to access and identify metadata related to a content or context of the request. A large language model (LLM) module is configured to receive the request and the metadata and to generate a suggestion relevant to the content or context of the request. A suggestion module is configured to present the suggestion to the user.

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