They developed Memristor semiconductor devices using metal-organic films instead of silicon-based technology.
- This material enables the Memristor to mimic the way the biological brain processes information using networks of neurons and synapses.
What is Neuromorphic computing?
- Neuromorphic computing, or neuromorphic engineering, mimics the human brain's structure and function.
- It involves designing hardware and software that simulate neural networks and synapses to process information.
How does neuromorphic computing work?
- It mimics biological brains using hardware like spiking neural networks (SNNs).
- SNNs consist of nodes (spiking neurons) connected by artificial synapses, which use analog circuitry to transfer signals.
- This approach encodes data through discrete analog signal changes rather than binary systems used in standard computers.
Benefits of neuromorphic computing
- Adaptability: To new stimuli, excelling at solving novel problems in real-time.
- Event-driven computation: Ensuring only active parts consume energy, resulting in efficient power usage.
- High performance: As it integrates memory and processing in neurons, reducing latency.
- Parallel processing: Of multiple tasks across different neurons for faster operation.
- Challenges of neuromorphic computing: Lack of benchmarks and standards; Limited accessibility and software; Decreased accuracy, etc.
Processing of information by brain
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