Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices
Author:
Affiliation:
1. The University of Texas at San Antonio,Department of Computer Science
2. University of Connecticut,Department of Computer Science
3. Texas A&M University-Corpus Christi,Department of Computer Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9774496/9774497/09774756.pdf?arnumber=9774756
Reference23 articles.
1. Neuro. zero: a zero-energy neural network accelerator for embedded sensing and inference systems;lee;ENSS,2019
2. Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
3. Intermittent-Aware Neural Architecture Search
4. ePerceptive
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4. Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03
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