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