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cs.NE2026★ 1 cited
Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
James B Aimone
Neuromorphic computing (NMC) is increasingly viewed as a low-power alternative to conventional von Neumann architectures such as central processing units (CPUs) and graphics proces…
cs.NE2026
Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing
Bradley H. Theilman, James B. Aimone
The potential for neuromorphic computing to provide intrinsic fault tolerance has long been speculated, but the brain's robustness in neuromorphic applications has yet to be demons…
cs.NE2025
Solving Sparse Finite Element Problems on Neuromorphic Hardware
Bradley H. Theilman, James B. Aimone
We demonstrate that scalable neuromorphic hardware can implement the finite element method, which is a critical numerical method for engineering and scientific discovery. Our appro…