Silicon brain
A three-dimensional silicon circuit network using non-volatile memory cells addresses integration and power consumption issues in semiconductor memory, replicating human brain neural networks for efficient data processing and reduced power consumption.
Patent Information
- Application Number
- JP2022117619
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2022-03-02
- Filing Date
- 2022-07-23
- Publication Date
- 2025-08-14
- Estimated Expiration
- 2042-07-23
AI Technical Summary
Conventional semiconductor memory technologies face limitations in integration density and power consumption, particularly in replicating the neural networks of the human brain, leading to inefficiencies in data processing and increased power demands.
A three-dimensional silicon circuit network is implemented using non-volatile memory cells connected in specific configurations, allowing for the reproduction of human brain-like information processing without relying on bit-based computing.
This approach significantly enhances data processing efficiency and reduces power consumption by mimicking the neural network structure of the human brain, overcoming the von Neumann bottleneck and enabling more effective artificial intelligence capabilities.