18443221. BINARY NEURAL NETWORK HARDWARE APPARATUS simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
BINARY NEURAL NETWORK HARDWARE APPARATUS
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
Sung Min Hwang of Daejeon (KR)
Jeong Woo Park of Daejeon (KR)
BINARY NEURAL NETWORK HARDWARE APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18443221 titled 'BINARY NEURAL NETWORK HARDWARE APPARATUS
The abstract describes a binary neural network hardware apparatus that includes a sense amplifier, an input unit, and a threshold voltage regulator.
- The sense amplifier compares a bit line voltage with a predetermined reference voltage.
- The input unit inputs the bit line voltage to the sense amplifier.
- The threshold voltage regulator is connected to an artificial intelligence binary synapse through the bit line and changes the bit line voltage in multiple levels.
Potential Applications: - This technology can be used in artificial intelligence systems for efficient processing of binary neural networks. - It can be applied in hardware accelerators for machine learning tasks. - The apparatus can enhance the performance of edge computing devices by enabling faster neural network computations.
Problems Solved: - Improves the speed and efficiency of binary neural network operations. - Enhances the accuracy of artificial intelligence systems. - Enables the implementation of energy-efficient neural network hardware.
Benefits: - Faster processing of binary neural networks. - Improved accuracy in artificial intelligence applications. - Energy-efficient hardware design for neural network computations.
Commercial Applications: Title: "Enhancing AI Performance with Binary Neural Network Hardware" This technology can be utilized in AI processors, edge computing devices, and hardware accelerators for machine learning tasks. It has the potential to revolutionize the efficiency and speed of neural network operations in various industries.
Questions about Binary Neural Network Hardware: 1. How does the threshold voltage regulator impact the performance of the binary neural network hardware? The threshold voltage regulator plays a crucial role in adjusting the bit line voltage levels, which ultimately affects the efficiency and accuracy of neural network computations.
2. What are the key advantages of using a sense amplifier in a binary neural network hardware apparatus? The sense amplifier enables the comparison of bit line voltages with reference voltages, allowing for precise and reliable operations within the neural network hardware.
Original Abstract Submitted
Disclosed is a binary neural network hardware apparatus. The binary neural network hardware apparatus includes a sense amplifier configured to compare a bit line voltage of a bit line with a predetermined reference voltage; an input unit configured to input the bit line voltage to the sense amplifier; and a threshold voltage regulator configured to be connected to an artificial intelligence binary synapse through the bit line and change the bit line voltage in multiple levels.
