Neuromorphic Chips
Neuromorphic chips are semiconductor devices that mimic the structure and functioning of the human brain. Their design is based on the use of artificial neurons and synapses, providing energy efficiency, fast computation, and self-adaptive capabilities.
Core Concept
- Neuromorphic computing uses Artificial Neural Networks (ANN) and Spiking Neural Networks (SNN).
- In SNN, artificial neurons communicate through electrical signals (spikes), making data processing more efficient.
- Technologies like memristors store and process data similar to biological neurons.
Key Features
- Brain-inspired Design: Based on the structure of the brain’s neocortex.
- Integration of Memory and Processing: Combines memory and processing to speed up and make data processing efficient.
- Event-driven ....
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