Analog-to-Digital Converters for Secure and Emerging AIoT Applications
AI algorithms based on convolutional neural networks (CNNs), coupled with their high computational requirements, have stimulated the development of novel energyefficient hardware. Analog neural networks (ANNs) with in-memory computing (IMC) using resistive random-access memory (RRAM) are promising a...
Main Author: | Chen, Ruicong |
---|---|
Other Authors: | Chandrakasan, Anantha P. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/151539 |
Similar Items
-
Development of AIoT applications
by: Lan, Haochong
Published: (2020) -
Nanowatt analog circuit design for AIoT sensors
by: Lee, Hei Yip
Published: (2024) -
Security Assessment of Agriculture IoT (AIoT) Applications
by: Erwin Kristen, et al.
Published: (2021-06-01) -
Activity-Scaling SAR with Direct Hybrid Encoding for Signed Expressions for AIoT Applications
by: Chen, Ruicong
Published: (2022) -
Low-power analog circuit design for AIoT sensors
by: Zhao, Pengju
Published: (2024)