Neuromorphic engineering
Neuromorphic engineering builds chips that imitate the brain's architecture — networks of artificial neurons and synapses that compute with sparse, event-driven 'spikes' rather than clocked arithmetic, co-locating memory and processing as biological tissue does.
Because it acts only when signals change, neuromorphic hardware can run perception and control at a tiny fraction of the energy of conventional processors — critical for edge devices, robotics, and scaling AI sustainably.
Research chips from major labs show large efficiency gains, but software tools, training methods, and a clear killer application are still maturing.
The discovery loop, applied.
Through the Computational Discovery center, ASIZ aims the discovery loop at neuromorphic engineering: frontier models survey the literature and simulate the possibilities, rank the experiments most likely to resolve the open questions, and partner labs run the decisive ones — with results shared openly.