LOW-POWER SOURCE OF SQUEEZED LIGHT
    1.
    发明公开

    公开(公告)号:US20240297473A1

    公开(公告)日:2024-09-05

    申请号:US18659303

    申请日:2024-05-09

    发明人: Bonnie L. Marlow

    摘要: A degenerate four-wave mixing (DFWM) squeezed light apparatus includes one or more pump beams, a probe beam, a vapor cell, a repump beam, and a detector. The one or more pump beams includes an input power of no greater than about 150 mW. The vapor cell includes an atomic vapor configured to interact with overlapped pump and probe beams to generate an amplified probe beam and a conjugate beam. The repump beam is configured to optically pump the atomic vapor to a ground state and decrease atomic decoherence of the atomic vapor. The detector is configured to measure squeezing due to quantum correlations between the amplified probe beam and the conjugate beam. The one or more pump beams, the probe beam, and the repump beam are configured to generate two-mode squeezed light by DFWM with squeezing of at least 3 dB below shot noise.

    Systems and methods for separating and identifying audio in an audio file using machine learning

    公开(公告)号:US12062375B2

    公开(公告)日:2024-08-13

    申请号:US17545710

    申请日:2021-12-08

    发明人: Yuan-Jun Wei

    IPC分类号: G10L17/18 G10L15/06 G10L15/18

    摘要: Disclosed herein are systems and methods for processing an audio file to perform audio Segmentation and Speaker Role Identification (SRID) by training low level classifier and high level clustering components to separate and identify audio from different sources in an audio file by unifying audio separation and automatic speech recognition (ASR) techniques in a single system. Segmentation and SRID can include separating audio in an audio file into one or more segments, based on a determination of the identity of the speaker, category of the speaker, or source of audio in the segment. In one or more examples, the disclosed systems and methods use machine learning and artificial intelligence technology to determine the source of segments of audio using a combination of acoustic and language information. In some examples, the acoustic and language information is used to classify audio in each frame and cluster the audio into segments.

    Adaptive networking for resilient communications

    公开(公告)号:US11979332B2

    公开(公告)日:2024-05-07

    申请号:US16995327

    申请日:2020-08-17

    摘要: A system for establishing and maintaining a communications network includes: one or more programs including instructions for: receiving a first set of data associated with a first set of communication links, the first set of communication links configured to establish connection between devices; receiving a second set of data associated with a second set of communication links; receiving a determination of whether one or more communication links of the first set satisfy a pre-determined quality level; receiving a determination of whether one or more communication links of the second set satisfy the pre-determined quality level; receiving a selection from the one or more communication links of the second set that have been determined to satisfy the pre-determined quality level; and connecting the devices via the selected one or more communication links if one or more communication links of the first set is determined to not satisfy the pre-determined quality level.

    SYSTEMS AND METHODS FOR GENERATING COMPUTING NETWORK INFRASTRUCTURE FROM NATURAL-LANGUAGE DESCRIPTIONS

    公开(公告)号:US20240137283A1

    公开(公告)日:2024-04-25

    申请号:US17969389

    申请日:2022-10-18

    摘要: Described herein are systems and methods for generating a computing network from natural language descriptions of the computing network are provided. In one or more examples, the systems and methods described below can be used harvest publically available (or even privately available) natural language descriptions of a computing network, and convert those descriptions into an operational replica of the described computing network. By harvesting both publically available data, as well as other resources, the systems and methods described herein can allow for an analyst tasked with analyzing a given computing network to generate a fully operational replica of the computing network without having to have direct access to the network. In one or more examples, the analyst can recreate a fully-functional replica of the network to be analyzed based on partial descriptions of the computing network, thereby greatly improving the level of analysis capable of being performed.

    MULTI-CRITERIA OPTION COMPARISON TOOL
    10.
    发明公开

    公开(公告)号:US20240028187A1

    公开(公告)日:2024-01-25

    申请号:US17869402

    申请日:2022-07-20

    IPC分类号: G06F3/04847 G06F16/26

    CPC分类号: G06F3/04847 G06F16/26

    摘要: Disclosed herein is a computer-implemented method comprising: aggregating option evaluation data for a plurality of options and for a plurality of predefined criteria; graphically displaying the user modifiable chart comprising the plurality of graphical representations of the aggregated option evaluation data, wherein: each graphical representation depicts data points visually plotted with weights, the plurality of graphical representations for the plurality of predefined criteria are visually ordered according to a rank of the plurality of predefined criteria, and the weights are based on the rank of the plurality of predefined criteria; detecting a first user input modifying the rank of at least one predefined criterion; in accordance with the first user input, automatically updating the weights of the data points; and displaying an updated user modifiable chart comprising the plurality of graphical representations of the aggregated option evaluation data.