In-memory computing by RRAM for machine learning
The Internet data has reached exa-scale (1018 bytes), which has introduced emerging need to re-examine the state-of-the-art hardware architectures for data-oriented computing. There is an increasing need in the current artificial intelligence and machine learning developments. The traditional pure s...
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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/73177 |