Deep in-memory architectures for machine learning
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer...
| Main Author: | Kang, Mingu. |
|---|---|
| Other Authors: | Gonugondla, Sujan., Shanbhag, Naresh R., 1966-, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2020.
Cham : 2020. |
| Physical Description: |
1 online resource. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |