Roadmap to neuromorphic computing with emerging technologies
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- 2024
- APL Materials
Paper
Publications
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Efficiency attacks on spiking neural networks
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- Sanchari Sen
- et al.
- 2022
- DAC 2022
Conference paperQuantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping
- Aditi Anand
- Sanchari Sen
- et al.
- 2021
- Frontiers in Computational Neuroscience
PaperRoadmap of Spin-Orbit Torques
- Qiming Shao
- Peng Li
- et al.
- 2021
- IEEE Transactions on Magnetics
PaperResistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
- Indranil Chakraborty
- Mustafa Ali
- et al.
- 2020
- Proceedings of the IEEE
PaperRoadmap on emerging hardware and technology for machine learning
- Karl Berggren
- Qiangfei Xia
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- 2020
- Nanotechnology
PaperNeural network accelerator design with resistive crossbars: Opportunities and challenges
- Shubham Jain
- Aayush Ankit
- et al.
- 2019
- IBM J. Res. Dev
PaperUsing graphical models as explanations in deep neural networks
- Franck Le
- Mudhakar Srivatsa
- et al.
- 2019
- MASS 2019
Conference paperNeural networks at the edge
- Deboleena Roy
- Gopalakrishnan Srinivasan
- et al.
- 2019
- SMARTCOMP 2019
Conference paperEnergy efficient computation using injection locked bias-field free spin-hall nano-oscillator array with shared heavy metal
- Karthik Yogendra
- Minsuk Koo
- et al.
- 2017
- NANOARCH 2017
Conference paper