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What are the neuromorphic computing applications for identity?
Neuromorphic computing enhances identity systems by mimicking neural networks for real-time, low-power biometric authentication. These chips process facial recognition, voice patterns, or behavioral traits (e.g., typing rhythm) with high accuracy and energy efficiency. Used in edge devices, they enable secure, continuous authentication without cloud dependency. Applications include fraud detection in payments, adaptive access controls, and privacy-preserving identity verification for IoT ecosystems.
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