彭盛裕教授團隊（PECK）開發 AGRU 類比 AI 晶片，直接在電流域處理類比訊號，免除 ADC 轉換與數位訊號處理，大幅提升穿戴醫療裝置的續航力與反應速度。神經脈衝分類準確率達 98%、心電圖分類 98.5%，整合感測功耗僅 99.36 µW；以 180nm 製程透過架構創新達成高效能，並相容 PyTorch 訓練框架。榮獲經濟部智慧創新大賞銀牌。Prof. Sheng-Yu Peng's team (PECK) developed an AGRU analog AI chip that processes analog signals directly in the current domain, eliminating ADC conversion and digital signal processing to improve the battery life and response time of wearable medical devices. The chip achieves 98% neural-spike classification accuracy and 98.5% ECG classification accuracy with total sensing power of only 99.36 µW. Fabricated in a 180 nm process, it delivers high efficiency through architectural innovation, remains compatible with the PyTorch training framework, and received a Silver Award at the MOEA Best AI Awards.
消息來源：Source: 工商時報 CTEECTEE