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홈 | MPW / CDC | IP Library

"한국 반도체산업의 경쟁력"

IDEC에서 설계인력양성의 발판을 마련하겠습니다.

IP명 A Low Cost and Low Power Neuromorphic Core for Embedded AI System
Category Digital Application Embedded AI System
실설계면적 4㎛ X 4㎛ 공급 전압 1.2V
IP유형 Hard IP 동작속도 50MHz
검증단계 FPGA 참여공정 SS65-2001
IP개요 In this paper, we present a low cost and low power neuromorphic core for embedded AI system. The neuromorphic core is based on k-Nearest Neighbor (k-NN) and Radial Basis Function (RBF) algorithms. In order to reduce the operation workload in calculating distance, it adopts Manhattan distance (L1) instead of Euclidean distance (L2). Also, the neuromorphic controller adopts more efficient finite state machine (FSM) optimized with instructions to generate the concise instructions. Therefore, the neuromorphic core trains dataset in N-Cells rapidly and classifies test data with low power consumption. We will fabricate the low cost and low power neuromorphic core for embedded AI system with Samsung 65 um RFCMOS technology. The neuromorphic core operates in 1.2V, 50MHz frequency and the circuit is digital type.
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