載入...
Impact of Phase‐Change Memory Flicker Noise and Weight Drift on Analog Hardware Inference for Large‐Scale Deep Learning Networks
The analog AI core concept is appealing for deep‐learning (DL) because it combines computation and memory functions into a single device. Yet, significant challenges such as noise and weight drift will impact large‐scale analog in‐memory computing. Here, effects of flicker noise and drift on large D...
Na minha lista:
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Wiley
2022-05-01
|
| 叢編: | Advanced Intelligent Systems |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1002/aisy.202100179 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|