17806453. MACHINE LEARNING DATA COLLECTION, VALIDATION, AND REPORTING CONFIGURATIONS simplified abstract (QUALCOMM Incorporated)

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MACHINE LEARNING DATA COLLECTION, VALIDATION, AND REPORTING CONFIGURATIONS

Organization Name

QUALCOMM Incorporated

Inventor(s)

Rajeev Kumar of San Diego CA (US)

Xipeng Zhu of San Diego CA (US)

MACHINE LEARNING DATA COLLECTION, VALIDATION, AND REPORTING CONFIGURATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17806453 titled 'MACHINE LEARNING DATA COLLECTION, VALIDATION, AND REPORTING CONFIGURATIONS

Simplified Explanation

The patent application describes a device in a wireless network that can process information using machine learning and report data through wireless communication. The device can be configured based on a model ID, a machine learning function, or a machine learning use case. It can also receive data reports based on the configuration.

  • The device in a wireless network can process information using machine learning.
  • It can report data through wireless communication.
  • The device can be configured based on a model ID, a machine learning function, or a machine learning use case.
  • It can receive data reports based on the configuration.

Potential Applications

This technology has potential applications in various fields, including:

  • Internet of Things (IoT) devices that can process and report data using machine learning.
  • Smart homes that can analyze and report data on energy usage, security, or appliance performance.
  • Industrial settings where machines can use machine learning to optimize performance and report any issues.
  • Healthcare devices that can analyze patient data and provide insights or alerts.

Problems Solved

This technology solves several problems, such as:

  • Efficient processing and reporting of data in wireless networks.
  • Automation of data analysis and reporting using machine learning.
  • Customization of machine learning configurations based on specific model IDs, functions, or use cases.
  • Improved decision-making and insights based on the analyzed data.

Benefits

The benefits of this technology include:

  • Enhanced efficiency and accuracy in processing and reporting data.
  • Real-time insights and alerts based on machine learning analysis.
  • Customizable configurations for different machine learning models, functions, or use cases.
  • Improved decision-making and optimization in various industries and applications.


Original Abstract Submitted

A device in a wireless network may process information with machine learning associated with a model ID, a machine learning function, or a machine learning use case and report data via the wireless communication based on a configuration associated with the model ID, the machine learning function, or the machine learning use case. A device may provide a configuration for machine learning associated with a model ID, a machine learning function or, a machine learning use case; and may receive a report of data based on the configuration associated with the model ID, the machine learning function, or the machine learning use case.

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