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.
· npj Unconventional Computing · 0 citations