ElfCore: A 28nm Neural Processor Enabling Dynamic Structured Sparse Training and Online Self-Supervised Learning with Activity-Dependent Weight Update
Published:Dec 24, 2025 12:45
•1 min read
•ArXiv
Analysis
This article introduces ElfCore, a 28nm neural processor. The key features are dynamic structured sparse training and online self-supervised learning with activity-dependent weight updates. This suggests a focus on efficiency and adaptability in neural network training, potentially for resource-constrained environments or applications requiring continuous learning. The use of 28nm technology indicates a focus on energy efficiency and potentially lower cost compared to more advanced nodes, which is a significant consideration.
Key Takeaways
Reference
“The article likely details the architecture, performance, and potential applications of ElfCore.”