Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Edwards, Alexander P."'
Autor:
Doleh, Kristi, Humphrey, Leonard, Linseisen, Chandler M., Kitcher, Michael D., Martin, Joanna M., Cui, Can, Incorvia, Jean Anne C., Garcia-Sanchez, Felipe, Hassan, Naimul, Edwards, Alexander J., Friedman, Joseph S.
Domain wall (DW) devices have garnered recent interest for diverse applications including memory, logic, and neuromorphic primitives; fast, accurate device models are therefore imperative for large-scale system design and verification. Extant DW moti
Externí odkaz:
http://arxiv.org/abs/2406.00225
Conventional semiconductor-based integrated circuits are gradually approaching fundamental scaling limits. Many prospective solutions have recently emerged to supplement or replace both the technology on which basic devices are built and the architec
Externí odkaz:
http://arxiv.org/abs/2311.10721
Autor:
Zhou, Peng, Edwards, Alexander J., Mancoff, Frederick B., Aggarwal, Sanjeev, Heinrich-Barna, Stephen K., Friedman, Joseph S.
Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devices with analog r
Externí odkaz:
http://arxiv.org/abs/2308.11011
Autor:
Walker, Benjamin W., Edwards, Alexander J., Hu, Xuan, Frank, Michael P., Garcia-Sanchez, Felipe, Friedman, Joseph S.
Magnetic skyrmions are topological quasiparticles whose non-volatility, detectability, and mobility make them exciting candidates for low-energy computing. Previous works have demonstrated the feasibility and efficiency of current-driven skyrmions in
Externí odkaz:
http://arxiv.org/abs/2301.10700
Autor:
Hu, Xuan, Walker, Benjamin W., García-Sánchez, Felipe, Edwards, Alexander J., Zhou, Peng, Incorvia, Jean Anne C., Paler, Alexandru, Frank, Michael P., Friedman, Joseph S.
Magnetic skyrmions are nanoscale whirls of magnetism that can be propagated with electrical currents. The repulsion between skyrmions inspires their use for reversible computing based on the elastic billiard ball collisions proposed for conservative
Externí odkaz:
http://arxiv.org/abs/2203.13912
Autor:
Zhou, Peng, Edwards, Alexander J., Mancoff, Fred B., Houssameddine, Dimitri, Aggarwal, Sanjeev, Friedman, Joseph S.
We present the first experimental demonstration of a neuromorphic network with magnetic tunnel junction (MTJ) synapses, which performs image recognition via vector-matrix multiplication. We also simulate a large MTJ network performing MNIST handwritt
Externí odkaz:
http://arxiv.org/abs/2112.04749
Autor:
Chowdhury, Md. Fahim F., Misba, Walid Al, Rajib, Md Mahadi, Edwards, Alexander J., Bhattacharya, Dhritiman, Friedman, Joseph S., Atulasimha, Jayasimha
We demonstrate using micromagnetic simulations that a nanomagnet array excited by Surface Acoustic Waves (SAWs) can work as a reservoir that can classify sine and square waves with high accuracy. To evaluate memory effect and computing capability, we
Externí odkaz:
http://arxiv.org/abs/2112.04000
Autor:
Zaki, Abbas A., Parker, Noah C., Kim, Tae-Yoon, Ishak, Sam, Stovall, Ty E., Peng, Genchang, Dave, Hina, Harvey, Jay, Nourani, Mehrdad, Hu, Xuan, Edwards, Alexander J., Friedman, Joseph S.
Epilepsy can be treated with medication, however, $30\%$ of epileptic patients are still drug resistive. Devices like responsive neurostimluation systems are implanted in select patients who may not be amenable to surgical resection. However, state-o
Externí odkaz:
http://arxiv.org/abs/2106.06590
Autor:
Edwards, Alexander J., Bhattacharya, Dhritiman, Zhou, Peng, McDonald, Nathan R., Misba, Walid Al, Loomis, Lisa, Garcia-Sanchez, Felipe, Hassan, Naimul, Hu, Xuan, Chowdhury, Md. Fahim, Thiem, Clare D., Atulasimha, Jayasimha, Friedman, Joseph S.
Reservoir computing (RC) has received recent interest because reservoir weights do not need to be trained, enabling extremely low-resource consumption implementations, which could have a transformative impact on edge computing and in-situ learning wh
Externí odkaz:
http://arxiv.org/abs/2103.09353
Autor:
Zhou, Peng, McDonald, Nathan R., Edwards, Alexander J., Loomis, Lisa, Thiem, Clare D., Friedman, Joseph S.
Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained environments. This work proposes a novel hardware implementation of a
Externí odkaz:
http://arxiv.org/abs/2003.10948