HYBRID NEURAL NETWORK SYSTEM WITH MULTI-THREADED INPUTS

    公开(公告)号:US20240135154A1

    公开(公告)日:2024-04-25

    申请号:US17965080

    申请日:2022-10-13

    CPC classification number: G06N3/063 G06F40/20 G06N3/08

    Abstract: Systems and methods for predicting application failures using a hybrid neural network with multi-threaded inputs are provided. A method includes storing, in a first database, information relating to a plurality of digital applications, and storing, in a second database, information relating to historical performance issues associated with the plurality of digital applications. The method may include training the hybrid neural network according to the particulars disclosed herein. The method may also include detecting a trigger event relating to one of the plurality of digital applications, and via the particulars disclosed herein, using the hybrid neural network to output a set of predicted application failures.

    STRATEGIC PARTNER GOVERNANCE FRAMEWORK AND PERFORMANCE TRACKING
    2.
    发明申请
    STRATEGIC PARTNER GOVERNANCE FRAMEWORK AND PERFORMANCE TRACKING 审中-公开
    战略合作伙伴管理框架和绩效跟踪

    公开(公告)号:US20150302336A1

    公开(公告)日:2015-10-22

    申请号:US14255264

    申请日:2014-04-17

    CPC classification number: G06Q10/06393 G06Q10/0635

    Abstract: Systems, apparatus, methods, and computer program products are provided for managing the productivity and performance of a business' offsite service providers. Productivity is measured multi-dimensionally taking into account the unique business metrics that result in increased productivity. In addition, the framework herein provided can dynamically be adjusted over time at allow for different business metrics to be considered and/or assign a pre-determined level of importance to a business metric (i.e., proper weighting), resulting in a final productivity score that allows for comparison amongst service providers.

    Abstract translation: 提供系统,设备,方法和计算机程序产品,用于管理企业的非现场服务提供商的生产率和性能。 考虑到导致提高生产力的独特业务指标,生产力被多维度测量。 此外,本文提供的框架可以随时间而动态地调整,以允许不同的业务度量被考虑和/或为业务度量(即适当的加权)分配预定的重要程度,从而得到最终生产率得分 这允许在服务提供商之间进行比较。

    DYNAMIC METAVERSE ACCOMMODATIONS
    3.
    发明申请

    公开(公告)号:US20250131646A1

    公开(公告)日:2025-04-24

    申请号:US18381680

    申请日:2023-10-19

    Abstract: Systems, methods, and apparatus are provided for generating dynamic metaverse accommodations using artificial intelligence. A user device may initiate a metaverse session. Deep learning networks may derive a user profile based on data from the user device and generate a set of samples from the user profile. The generated samples may include user characteristics and avatar features associated with the user characteristics. The generated samples may be used to train a multitask machine learning model. Deep learning networks may generate a metaverse accommodation targeted to the user profile. The accommodation may be rendered in the metaverse environment. The accommodation may be transmitted to an actuator at the user device. The accommodation may be stored in association with user characteristics in a distributed ledger.

Patent Agency Ranking