Produced with the GSA, this paper examines the three key constraints shaping edge AI deployment — latency, power, and security — against a forecast of 7.8 billion edge-enabled IoT devices by 2030. It makes the case that neuromorphic architectures can address all three simultaneously by processing data on or near the device, reducing latency and power demands while keeping sensitive information local rather than routing it to the cloud.

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