Passive frustrated nanomagnet reservoir computing
Abstract Reservoir computing (RC) has received recent interest because reservoir weights do not need to be trained, enabling extremely low-resource consumption implementations, which could have a transformative impact on edge computing and in-situ learning where resources are severely constrained. I...
| Những tác giả chính: | , , , , , , , , , , , , |
|---|---|
| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Nature Portfolio
2023-08-01
|
| Loạt: | Communications Physics |
| Truy cập trực tuyến: | https://doi.org/10.1038/s42005-023-01324-8 |