1 Transistor‐Dynamic Random Access Memory as Synaptic Element for Online Learning
The rapid advancements in the field of autonomous systems have led to a significant demand for artificial‐intelligence‐of‐things (AIoT) edge‐compatible neuromorphic training accelerators with continual/online learning capability. These accelerators require a large network of synaptic elements with h...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-08-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400912 |
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