Neuromorphic computing builds chips that mimic how neurons fire in the brain. Instead of traditional Von Neumann architecture (separate CPU and memory, sequential processing), neuromorphic chips process data where it is stored, in parallel, using spikes instead of binary values.
Here are the 8 questions developers and engineering leaders actually ask.
1. What Is Neuromorphic Computing in Simple Terms?
Traditional chips: data moves between memory and processor. Instructions execute sequentially. Power consumption scales with clock speed.
Neuromorphic chips: processing happens at the data. "Neurons" fire only when thresholds are met (event-driven). Power consumption scales with activity, not clock speed. A neuromorphic chip doing nothing uses almost zero power.
Think of it as the difference between a spreadsheet (every cell recalculates on every change) and a reactive system (only affected nodes update when inputs change).