APPARATUS AND METHODS FOR ADAPTIVE DATA COMPRESSION
    2.
    发明申请
    APPARATUS AND METHODS FOR ADAPTIVE DATA COMPRESSION 审中-公开
    用于自适应数据压缩的装置和方法

    公开(公告)号:US20160344646A1

    公开(公告)日:2016-11-24

    申请号:US14718938

    申请日:2015-05-21

    Abstract: Embodiments of apparatuses and methods for adaptive data compression and associated contextual information are described. In various embodiments, an apparatus may include a context monitoring module to gather contextual information for transmission of data and a policy module to gather user preference on cost associated with transmission of data. The apparatus may further include an analysis module to determine whether to compress data prior to transmission, based at least in part on the contextual information and the user preference. Other embodiments may be described and/or claimed.

    Abstract translation: 描述了用于自适应数据压缩和相关联的上下文信息的装置和方法的实施例。 在各种实施例中,设备可以包括上下文监控模块,用于收集用于传输数据的上下文信息和策略模块,以收集与数据传输相关的成本的用户偏好。 该装置还可以包括分析模块,用于至少部分地基于上下文信息和用户偏好来确定是否在传输之前压缩数据。 可以描述和/或要求保护其他实施例。

    AI-ASSISTED CONTEXT-AWARE PIPELINE CREATION
    3.
    发明公开

    公开(公告)号:US20240231893A1

    公开(公告)日:2024-07-11

    申请号:US18570912

    申请日:2021-11-19

    CPC classification number: G06F9/485 G06F40/284

    Abstract: AI-assisted pipeline copilot techniques are described herein. In one example, a workflow method using an AI-assisted pipeline copilot involves receiving pipeline information from a user for an artificial intelligence (AI) pipeline and identifying key words in the pipeline information. A recommended next task component to add to the AI pipeline is then determined using a neural network model based on: a mapping of the key words to AI pipeline stages and one or more previous task components added to the AI pipeline. Connections between the recommended next task and the existing pipeline can also be inferred with a second neural network model. The recommended next task components and connections can then be provided to the user (e.g., with a graphical user interface).

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