18429937. SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE simplified abstract (Semiconductor Energy Laboratory Co., Ltd.)
Contents
- 1 SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE
Organization Name
Semiconductor Energy Laboratory Co., Ltd.
Inventor(s)
Yoshiyuki Kurokawa of Sagamihara (JP)
SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18429937 titled 'SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE
Simplified Explanation
The patent application describes a neuron circuit that can switch between input and hidden functions, an error circuit that can switch between hidden and output functions, and a switching circuit that can change connections between circuits.
- Neuron circuit can switch between input and hidden functions
- Error circuit can switch between hidden and output functions
- Switching circuit can change connections between circuits
- Synapse circuit includes analog memory, writing circuit, and weighting circuit
- Analog memory uses transistor with extremely low off-state current
Potential Applications
The technology described in the patent application could have potential applications in:
- Artificial intelligence
- Robotics
- Neuromorphic computing
Problems Solved
This technology could potentially solve the following problems:
- Efficient switching between different functions
- Improved memory storage and data processing
- Enhanced circuit connectivity and adaptability
Benefits
The benefits of this technology may include:
- Increased efficiency in neural network operations
- Enhanced adaptability and flexibility in circuit configurations
- Improved performance in complex computing tasks
Potential Commercial Applications
The technology could be applied in various commercial sectors, such as:
- Semiconductor industry
- Information technology
- Biomedical engineering
Possible Prior Art
One possible prior art related to this technology is the use of analog memory in neural network circuits for storing connection strengths between neurons.
Unanswered Questions
How does this technology compare to existing neural network architectures?
This article does not provide a direct comparison to existing neural network architectures.
What are the potential limitations or drawbacks of this technology?
The article does not address any potential limitations or drawbacks of this technology.
Original Abstract Submitted
A neuron circuit can switch between two functions: as an input neuron circuit, and as a hidden neuron circuit. An error circuit can switch between two functions: as a hidden error circuit, and as an output neuron circuit. A switching circuit is configured to be capable of changing the connections between the neuron circuit, a synapse circuit, and the error circuit. The synapse circuit includes an analog memory that stores data that corresponds to the connection strength between the input neuron circuit and the hidden neuron circuit or between the hidden neuron circuit and the output neuron circuit, a writing circuit that changes the data in the analog memory, and a weighting circuit that weights an input signal in reaction to the data of the analog memory and outputs the weighted output signal. The analog memory includes a transistor comprising an oxide semiconductor with extremely low off-state current.
