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Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization.

, , and . ICRC, page 76-79. IEEE, (2020)

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Regular Expression Matching with Memristor TCAMs., , , , , , , , , and 2 other author(s). ICRC, page 1-11. IEEE, (2018)Physics-based memristor models., , and . ISCAS, page 217-220. IEEE, (2013)Dot-product engine as computing memory to accelerate machine learning algorithms., , , and . ISQED, page 374-379. IEEE, (2016)Prospects for Analog Circuits in Deep Networks., , and . CoRR, (2021)Integration of Physics-Derived Memristor Models with Machine Learning Frameworks., , , and . CoRR, (2024)Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories., , , and . NANOARCH, page 17:1-17:6. ACM, (2023)Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell from Hewlett Packard Labs., , , , , , and . MetroXRAINE, page 971-976. IEEE, (2023)Accelerating Discrete Fourier Transforms with dot-product engine., and . ICRC, page 1-5. IEEE Computer Society, (2016)Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning., , , , , , , , , and 10 other author(s). ICRC, page 1-13. IEEE, (2018)Rescuing Memristor-based Neuromorphic Design with High Defects., , , and . DAC, page 87:1-87:6. ACM, (2017)