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    ATOMIC CLOCKS AND RELATED METHODS
    51.
    发明公开
    ATOMIC CLOCKS AND RELATED METHODS 审中-公开

    公开(公告)号：US20230384737A1

    公开(公告)日：2023-11-30

    申请号：US18197473

    申请日：2023-05-15

    Applicant: The Regents of the University of Colorado, a body corporate

    Inventor： Svenja Knappe ,  Sean Krzyzewski

    IPC: G04F5/14 ,  G04F5/04

    CPC classification number: G04F5/14 ,  G04F5/04 ,  G04F5/145 ,  G02B5/202

    Abstract: According to some aspects of the present disclosure, an atomic clock and methods of forming and/or using an atomic clock are disclosed. In one embodiment, an atomic clock includes: a light source configured to illuminate a resonance vapor cell; a narrowband optical filter disposed between the light source and the resonance vapor cell and arranged such that light emitted from the light source passes through the narrowband optical filter and illuminates the resonance vapor cell. The resonance vapor cell is configured to emit a signal corresponding to a hyperfine transition frequency in response to illumination from the light source, and a filter cell is disposed between the light source and the resonance vapor cell and configured to generate optical pumping. An optical detector is configured to detect the emitted signal corresponding to the hyperfine transition frequency.

    Social Media Content Filtering For Emergency Management
    59.
    发明公开
    Social Media Content Filtering For Emergency Management 审中-公开

    公开(公告)号：US20230281728A1

    公开(公告)日：2023-09-07

    申请号：US18000314

    申请日：2021-06-01

    Applicant: The Regents of the University of Colorado, a body corporate

    Inventor： Lise A. St. Denis

    IPC: G06Q50/00 ,  G06Q50/26 ,  G06F18/2415

    CPC classification number: G06Q50/01 ,  G06F18/2415 ,  G06Q50/265

    Abstract: Various embodiments of the present disclosure relate to a multimodal data classifier, and a method of training the classifier therein, that identifies social network messages about an event and filters the messages to provide a reduced amount of content to assist emergency authorities. For each message identified, the classification model identifies features of the message including an account identity and content of the message. Further, it generates a feature embedding for the message based at least on the account identity and the content of the message, and it submits the feature embeddings as input to a machine learning model to obtain one or more classifications for the message. As a result, the data classifier filters the messages based on the one or more classifications, which provides a prioritized view of the messages based on training criteria.

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