Kenneth Michael Stewart

Orcid: 0000-0002-7719-5796

According to our database1, Kenneth Michael Stewart authored at least 16 papers between 2019 and 2023.

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Bibliography

2023
HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Speech2Spikes: Efficient Audio Encoding Pipeline for Real-time Neuromorphic Systems.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Creating Inclusive Voices for the 21st Century: A Non-Binary Text-to-Speech for Conversational Assistants.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

A Qualitative Study on the Expectations and Concerns Around Voice and Gesture Interactions in Vehicles.
Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022
Meta-learning spiking neural networks with surrogate gradient descent.
Neuromorph. Comput. Eng., December, 2022

Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder.
CoRR, 2021

Reflecting on Self-Aware Systems-on-Chip.
Proceedings of the A Journey of Embedded and Cyber-Physical Systems, 2021

2020
Neurorobots as a Means Toward Neuroethology and Explainable AI.
Frontiers Neurorobotics, 2020

Online Few-Shot Gesture Learning on a Neuromorphic Processor.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
The information processing factory: a paradigm for life cycle management of dependable systems.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019


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