In neuromorphic computing, time-series prediction is a significant challenge to recurrent neural network architecture. Here, the authors present ambipolar transistors implementing a physical echo-state network for efficient time-series and image tasks, achieving high accuracy via static and dynamic computing modes.
- Wen-Min Zhong
- Wenbin Zhang
- Ye Zhou
