3 papers
cs.LG2026
Estimation of Energy-dissipation Lower-bounds for Neuromorphic Learning-in-memory
Zihao Chen, Faiek Ahsan, Johannes Leugering +2
Neuromorphic or neurally-inspired optimizers rely on local but parallel parameter updates to solve problems that range from quadratic programming to Ising machines. An ideal realiz…
cs.NE2025
HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Gwenevere Frank, Gopabandhu Hota, Keli Wang +8
In this work, we present HiAER-Spike, a modular, reconfigurable, event-driven neuromorphic computing platform designed to execute large spiking neural networks with up to 160 milli…
cs.NE2025
ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers
Zihao Chen, Zhili Xiao, Mahmoud Akl +17
We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using a Fowler-Nordheim quantum mec…