Samsung electronics co., ltd. (20240135189). ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE simplified abstract

From WikiPatents
Revision as of 02:27, 26 April 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE

Organization Name

samsung electronics co., ltd.

Inventor(s)

Taegeon Um of Suwon-si (KR)

Minhyeok Kweun of Suwon-si (KR)

Byungsoo Oh of Suwon-si (KR)

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

This abstract first appeared for US patent application 20240135189 titled 'ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE

Simplified Explanation

The abstract describes an electronic device and a controlling method for the device, which includes a communicator, memory for storing data for a neural network model, processors for training and preprocessing the model, and controlling the communication with external devices for processing input values.

  • The electronic device includes a communicator, memory for storing data for a neural network model, and processors for training and preprocessing the model.
  • The device controls the communication with external devices to process input values and obtain corresponding output values.
  • The processors determine operation speeds for preprocessing and training processes, and adjust communication with external devices based on these speeds.

Potential Applications

This technology could be applied in various fields such as artificial intelligence, machine learning, data processing, and communication systems.

Problems Solved

This technology solves the problem of optimizing the training and preprocessing processes of a neural network model by adjusting operation speeds and utilizing external devices for processing input values.

Benefits

The benefits of this technology include improved efficiency in training neural network models, faster processing speeds, and enhanced communication capabilities with external devices.

Potential Commercial Applications

This technology could be commercially applied in industries such as healthcare, finance, telecommunications, and autonomous systems for data analysis, pattern recognition, and decision-making processes.

Possible Prior Art

One possible prior art for this technology could be the use of external devices for processing input values in neural network models to improve efficiency and speed of training processes.

Unanswered Questions

How does this technology compare to existing methods for training neural network models?

This article does not provide a direct comparison between this technology and existing methods for training neural network models.

What are the limitations of using external devices for preprocessing in neural network models?

This article does not address the potential limitations or challenges of utilizing external devices for preprocessing in neural network models.


Original Abstract Submitted

an electronic device and a controlling method of the electronic device are provided. the electronic device includes a communicator; at least one memory configured to store data for a neural network model; at least one first processor configured to perform a training process of the neural network model; and at least one second processor configured to: perform a plurality of preprocessing processes for the training process, determine a first operation speed of at least one preprocessing process of the plurality of preprocessing processes performed by the at least one second processor and a second operation speed of the training process performed by the at least one first processor, based on the first operation speed being slower than the second operation speed, control the communicator to transmit at least one input value for the at least one preprocessing process to an external device connected to the electronic device, and obtain an output value corresponding to the at least one input value by receiving, through the communicator, a processing result of the external device for the at least one input value from the external device.