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Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics.

, and . ICONS, page 17:1-17:8. ACM, (2020)

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Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics., and . ICONS, page 17:1-17:8. ACM, (2020)Choose your tools carefully: A Comparative Evaluation of Deterministic vs. Stochastic and Binary vs. Analog Neuron models for Implementing Emerging Computing Paradigms., , and . CoRR, (2023)Spintronic device modeling and evaluation using modular approach to spintronics. Purdue University, USA, (2016)A Deep Dive into the Computational Fidelity of High Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems., , and . CoRR, (2023)Design of Multi-bit SET Adder and Its Fault Simulation., and . VLSI Design, page 549-552. IEEE Computer Society, (2006)Connecting physics to systems with modular spin-circuits., , , , , , , and . CoRR, (2024)Reservoir Computing using Stochastic p-Bits., , and . CoRR, (2017)Modeling of Leakages in Nano-Scale DG MOSFET to Implement Low Power SRAM: A Device/Circuit Co-Design., , , , and . VLSI Design, page 183-188. IEEE Computer Society, (2007)Double magnetic tunnel junction based ∑Δ∑ hardware neuron., , , , , and . DRC, page 1-2. IEEE, (2024)Roadmap for Unconventional Computing with Nanotechnology., , , , , , , , , and 40 other author(s). CoRR, (2023)