18422178. ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE simplified abstract (Samsung Electronics Co., Ltd.)

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ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Dongyul Lee of Suwon-si (KR)

Jaeyung Yeo of Suwon-si (KR)

ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18422178 titled 'ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE

Simplified Explanation

The electronic device described in the abstract is equipped with a user interface, at least one processor, and a memory. The processor is configured to infer expected operations from user inputs, derive performance information, and adjust operating frequency using an AI-based DVFS manager.

  • User interface with interface circuitry
  • Processor with processing circuitry connected to the user interface
  • Memory storing instructions for the processor
  • Processor infers expected operations from user inputs
  • Processor derives performance information for expected operations
  • Processor configures operating frequency using an AI-based DVFS manager

Potential Applications

The technology can be applied in various electronic devices such as smartphones, tablets, laptops, and IoT devices to optimize performance based on user interactions.

Problems Solved

1. Efficient power management in electronic devices 2. Enhanced user experience through optimized performance

Benefits

1. Improved battery life 2. Enhanced processing efficiency 3. Seamless user experience

Potential Commercial Applications

Optimized performance electronic devices for consumer electronics market

Possible Prior Art

No prior art known at this time.

Unanswered Questions

How does the AI-based DVFS manager adapt to different usage patterns?

The article does not delve into the specific algorithms or methodologies used by the AI-based DVFS manager to adapt to varying usage patterns.

What impact does the AI-based DVFS manager have on overall device cost?

The article does not address the potential cost implications of implementing the AI-based DVFS manager in electronic devices.


Original Abstract Submitted

An electronic device disclosed in the present disclosure may comprise: a user interface comprising interface circuitry; at least one processor comprising processing circuitry operatively connected to the user interface; and a memory operatively connected to at least one processor, wherein the memory stores instructions, at least one processor configured to: infer an expected operation corresponding to an input received using the user interface; derive required performance information for the expected operation; and based on the derived required performance information, configure an operating frequency using an artificial intelligence (AI) dynamic voltage frequency scaling (DVFS) manager.