The race toward Artificial General Intelligence (AGI) is forcing researchers to rethink how machines actually process information. Traditional computers, no matter how powerful, still struggle to match the brain’s ability to learn, adapt, and respond in real time. That is where neuromorphic computing comes in.
Neuromorphic systems are designed to mimic the structure of the human brain, using networks of artificial neurons and synapses to process data more efficiently. Instead of brute force calculations, they learn patterns, adapt to new situations, and handle tasks in a way that feels closer to biological thinking.
In this video guide, we break down what neuromorphic computing is, why it matters for the future of AI, and how it could bring us closer to machines that think more like us.
Updated
September 25, 2025
Link copied!
Copy failed!