Protonic All-Solid-State Electrochemical Device as an Artificial Synapse for CMOS-Compatible Neuromorphic Computing
The development of artificial intelligence (AI) has changed the overall landscape of information technology.[1] However, conventional computing hardware is energetically unfavorable to handle multifarious AI tasks because the frequent data transfer between the physically separated microprocessors an...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152130 |