Samsung electronics co., ltd. (20240202590). ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL simplified abstract
Contents
- 1 ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Artificial Intelligence Model Processing
- 1.13 Original Abstract Submitted
ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL
Organization Name
Inventor(s)
Junhyuk Lee of Gyeonggi-do (KR)
Hyunbin Park of Gyeonggi-do (KR)
Seungjin Yang of Gyeonggi-do (KR)
ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202590 titled 'ELECTRONIC DEVICE AND OPERATION METHOD OF ELECTRONIC DEVICE FOR PERFORMING CALCULATION USING ARTIFICIAL INTELLIGENCE MODEL
Simplified Explanation
An electronic device is designed to efficiently process artificial intelligence models by skipping unnecessary calculations based on the type of activation function present in the model.
- The device loads and compiles an artificial intelligence model.
- It checks if the model includes a specific type of activation function.
- If the function is present, it skips certain calculations.
- If the function is not present, it performs calculations on input values.
Key Features and Innovation
- Efficient processing of artificial intelligence models based on activation function type.
- Optimization of calculations to improve performance.
- Adaptive approach to handling different types of models.
Potential Applications
This technology can be applied in various fields such as:
- Machine learning
- Computer vision
- Natural language processing
Problems Solved
- Reducing unnecessary calculations in artificial intelligence models.
- Improving the efficiency of model processing.
- Enhancing overall performance of electronic devices.
Benefits
- Faster processing of AI models.
- Reduced computational load.
- Enhanced accuracy in model calculations.
Commercial Applications
- This technology can be utilized in industries such as:
- Healthcare for medical image analysis
- Finance for fraud detection
- Automotive for autonomous driving systems
Prior Art
Researchers can explore prior art related to optimization techniques in artificial intelligence model processing and activation function analysis.
Frequently Updated Research
Stay updated on the latest advancements in artificial intelligence model optimization and activation function analysis to enhance the efficiency of electronic devices.
Questions about Artificial Intelligence Model Processing
How does the presence of different activation functions impact the efficiency of model calculations?
The presence of different activation functions can affect the computational load and performance of AI models. By identifying and optimizing calculations based on the type of activation function, efficiency can be significantly improved.
What are the implications of skipping calculations in AI model processing?
Skipping calculations based on the activation function type can lead to faster processing times and reduced computational resources, ultimately improving the overall performance of electronic devices.
Original Abstract Submitted
according to certain embodiments, an electronic device comprises: a processor and memory storing instructions; and wherein the instructions, when executed by the processor, further cause the electronic device to: load and compile an artificial intelligence model stored in the memory; determine whether the compiled artificial intelligence model includes a first-type activation function; when the first-type activation function is included in the compiled artificial intelligence model, skip a calculation with respect to a designated value when the designated value exists in a feature map and calculate a value to be calculated subsequent to the designated value; and when the first-type activation function is not included in the compiled artificial intelligence model, perform a calculation with respect to input values of the feature map.
