Samsung electronics co., ltd. (20240354059). NEUROMORPHIC DEVICE AND DRIVING METHOD THEREOF simplified abstract
Contents
NEUROMORPHIC DEVICE AND DRIVING METHOD THEREOF
Organization Name
Inventor(s)
Sungmeen Myung of Suwon-si (KR)
Sangjoon Kim of Hwaseong-si (KR)
Seungchul Jung of Suwon-si (KR)
NEUROMORPHIC DEVICE AND DRIVING METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354059 titled 'NEUROMORPHIC DEVICE AND DRIVING METHOD THEREOF
The abstract describes a neuromorphic device with resistor lines, current sources, capacitors, and a switch for performing neuromorphic operations and outputting the results.
- The neuromorphic device includes resistor lines with serially connected resistors.
- Current sources control the current flowing in each resistor line to a specific value.
- Capacitors sample the voltage of each resistor line to represent the results of neuromorphic operations.
- A switch connects the capacitors in parallel after sampling to output the sum of the results of neuromorphic operations.
Potential Applications: - Neuromorphic computing - Artificial intelligence - Machine learning - Pattern recognition - Brain-inspired computing systems
Problems Solved: - Efficient neuromorphic computing - Real-time processing of complex data - Mimicking brain functions for AI applications
Benefits: - Faster processing speeds - Lower power consumption - Enhanced pattern recognition capabilities - Improved efficiency in AI tasks - Potential for advanced cognitive computing systems
Commercial Applications: Neuromorphic devices can be utilized in various industries such as: - Healthcare for medical imaging analysis - Finance for fraud detection - Automotive for autonomous driving systems - Robotics for object recognition - Security for biometric identification
Questions about Neuromorphic Devices: 1. How do neuromorphic devices differ from traditional computing systems?
Neuromorphic devices mimic the brain's structure and function, enabling more efficient and parallel processing compared to traditional systems.
2. What are the key advantages of using neuromorphic devices in AI applications?
Neuromorphic devices offer faster processing speeds, lower power consumption, and enhanced pattern recognition capabilities, making them ideal for AI tasks.
Original Abstract Submitted
a neuromorphic device includes a plurality of resistor lines, each comprising a plurality of resistors that are serially connected to each other; one or more current sources configured to control a current flowing in each of the resistor lines to a respective current value; a plurality of capacitors configured to be electrically connected to each of the resistor lines and to sample respective voltage of each of the resistor lines representing results of neuromorphic operations; and a switch configured to connect the plurality of the capacitors in parallel after the sampling the respective voltage of each of the resistor lines, to output a sum of the results of neuromorphic operations.
