Neuromorphic processors promise densely interconnected, event-driven architectures that mimic brain-like learning. They aim for on-device adaptation, self-pruning, and dynamic reconfiguration to sustain energy efficiency. Progress depends on disciplined edge deployment, reproducible manufacturing, and standardized interfaces for closed-loop optimization under real-world…

Synthetic data and real data offer distinct guarantees and risks. Synthetic data provide controlled, reproducible properties with privacy protections but may miss rare patterns or complex correlations. Real data preserve authentic signals yet raise disclosure risks and governance burdens. A…