Power- and area-efficient analog-to-digital conversion for in-memory computing

In-memory computing is an emerging trend in Industrial Revolution 4.0 that focuses in artificial intelligent and machine learning. By moving the computation to the edge, in-memory computing reduces energy consumption and data size that needs to be processed further. To enable an efficient in-memory...

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Bibliographic Details
Main Author: Hans, Michael
Other Authors: Kim Tae Hyoung
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167799
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Institution: Nanyang Technological University
Language: English

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