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10/05/2022
Stochastic Neuromorphic Circuits for Solving MAXCUT
Finding the maximum cut of a graph (MAXCUT) is a classic optimization pr...
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07/27/2021
Neuromorphic scaling advantages for energy-efficient random walk computation
Computing stands to be radically improved by neuromorphic computing (NMC...
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05/21/2020
Solving a steady-state PDE using spiking networks and neuromorphic hardware
The widely parallel, spiking neural networks of neuromorphic processors ...
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04/21/2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Training neural networks for neuromorphic deployment is non-trivial. The...
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02/25/2020
Evaluating complexity and resilience trade-offs in emerging memory inference machines
Neuromorphic-style inference only works well if limited hardware resourc...
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05/28/2019
Composing Neural Algorithms with Fugu
Neuromorphic hardware architectures represent a growing family of potent...
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12/04/2018
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future
The Artificial Intelligence (AI) revolution foretold of during the 1960s...
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10/26/2018
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication
This paper presents a new technique for training networks for low-precis...
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05/01/2018
