18582006. ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE
Organization Name
Inventor(s)
ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18582006 titled 'ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE
The abstract describes an electronic device and a method for controlling the device. It involves determining if neural network models from an external device are suitable for the hardware of the electronic device, and if they can replace existing models in the device.
- The electronic device assesses compatibility of neural network models from an external device with its hardware.
- It evaluates if the identified models can effectively replace the current models in the device.
- The assessment is based on hardware specifications of both devices and information on the neural network models.
- This process helps optimize the performance of the electronic device by selecting the most suitable neural network models.
Potential Applications: - This technology can be used in smart devices to enhance their artificial intelligence capabilities. - It can improve the efficiency of neural network-based applications in various industries such as healthcare, finance, and automotive.
Problems Solved: - Ensures optimal performance of neural network models in electronic devices. - Facilitates seamless integration of external neural network models with existing hardware.
Benefits: - Enhanced performance and efficiency of electronic devices. - Cost-effective solution for upgrading neural network capabilities. - Streamlined process for selecting and integrating neural network models.
Commercial Applications: Title: "Optimizing Neural Network Models for Electronic Devices" This technology can be utilized in smartphones, smart home devices, and industrial equipment to enhance AI functionalities and improve user experience. It can also benefit companies developing AI-powered applications by providing a more efficient way to upgrade neural network models.
Questions about the technology: 1. How does this technology impact the development of AI-powered devices? 2. What are the potential cost savings for companies implementing this technology?
Original Abstract Submitted
An electronic device and a controlling method of an electronic device are provided. The electronic device includes identifying whether each of one or more neural network models included in a first external device is suitable for hardware of the electronic device and whether each of the one or more neural network models identified as suitable for the hardware of the electronic device is suitable to replace the neural network models included in the electronic device, based on first device information on a hardware specifications of the electronic device, second device information on a hardware specification of the first external device, first model information on the one or more neural network models included in the first external device, and second model information on the one or more neural network models included in the electronic device.
