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08/30/2023
A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron
Spiking neural network offers the most bio-realistic approach to mimic t...
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07/27/2023
Functional Specification of the RAVENS Neuroprocessor
RAVENS is a neuroprocessor that has been developed by the TENNLab resear...
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11/08/2022
Disclosure of a Neuromorphic Starter Kit
This paper presents a Neuromorphic Starter Kit, which has been designed ...
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06/28/2022
The Case for RISP: A Reduced Instruction Spiking Processor
In this paper, we introduce RISP, a reduced instruction spiking processo...
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09/02/2021
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment
The OpenAI Gym project contains hundreds of control problems whose goal ...
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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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02/04/2020
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks
Inspired by the connectivity mechanisms in the brain, neuromorphic compu...
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09/26/2019
Exascale Deep Learning to Accelerate Cancer Research
Deep learning, through the use of neural networks, has demonstrated rema...
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06/06/2019
Stochasticity and Robustness in Spiking Neural Networks
Artificial neural networks normally require precise weights to operate, ...
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03/25/2019
Spike-based primitives for graph algorithms
In this paper we consider graph algorithms and graphical analysis as a n...
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02/02/2019
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data
We present a deep learning approach for vertex reconstruction of neutrin...
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05/19/2017