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== <span style="color: #FFFFFF;">Creating</span> == Deploying a neuromorphic edge application: (1) Choose task: ideal for always-on keyword detection, gesture recognition, anomaly detection β low-power, high-frequency sensor data. (2) Design SNN: small architecture (3-4 layers), LIF neurons, surrogate gradient training. (3) Train on GPU with SpikingJelly or Norse. (4) Convert to target hardware format (Loihi, Akida). (5) Validate accuracy and measure on-chip energy. (6) Compare against optimized INT4 ANN on MCU baseline β ensure neuromorphic offers genuine efficiency advantage for your workload. [[Category:Artificial Intelligence]] [[Category:Neuromorphic Computing]] [[Category:Hardware]] </div>
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