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K. Byun

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#edge computing Open access Aug 2026

Physically implemented analog in-memory distance computing with InGaZnO transistor-based capacitive unit

Modern edge devices increasingly require real-time adaptation to their environment without relying on cloud-based updates, which can introduce latency and security risks. To meet these demands, memory-augmented neural networks (MANNs) have gained traction for enabling adaptive on-device learning. Hardware implementatio...

Changhoon Joe, K. Byun, Min-Seung Kang et al. · 0 citations

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