The Evolution of Neuromorphic Engineering: Traditional von Neumann architectures are approaching their physical limits regarding power consumption and heat dissipation. To circumvent this, researchers are turning to neuromorphic computing—systems modeled directly on the human brain's neural structure.
By utilizing physical artificial neurons and synapses, these chips process information in parallel and consume orders of magnitude less energy. Recent breakthroughs in memristor technology allow these analog circuits to "remember" their state even when powered off, paving the way for low-latency, edge-deployed AI that doesn't rely on massive cloud server farms.