Publications

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Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation

International Conference on Neuromorphic Systems

William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone

Conference Presentation – 2022 Conference Presentation 2022

Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing

James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Craig Michael Vineyard, Felix Wang

Marketing or Promotional – 2022 Marketing or Promotional 2022

Distributed Localization with Grid-based Representations on Digital Elevation Models

International Conference on Neuromorphic Systems

Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone

Conference Presentation – 2022 Conference Presentation 2022

Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation

International Conference on Neuromorphic Systems

William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone

Conference Paper – 2022 Conference Paper 2022

Distributed Localization with Grid-based Representations on Digital Elevation Models

International Conference on Neuromorphic Systems

Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone

Conference Paper – 2022 Conference Paper 2022

Evaluating the Potential of Neuromorphic Computing for Scientific Computing Applications

2022 ASC PI Meeting

James Bradley Aimone

Presentation (non-conference) – 2022 Presentation (non-conference) 2022

COINFLIPS: CO-designed Improved Neural Foundations Leveraging Inherent Physics Stochasticity

2022 NICE Conference

James Bradley Aimone

Conference Presentation – 2022 Conference Presentation 2022

Spiking Neural Approaches to SAR ATR

SPIE Defense and Commercial Sensing

Craig Michael Vineyard, James Bradley Aimone, Ryan Anthony Dellana, Esteban J. Guillen, Aaron Jamison Hill, William Mark Severa, Javier Zazueta

Conference Presentation – 2022 Conference Presentation 2022

Localization through Grid-based Encodings on Digital Elevation Models

Neuro-Inspired Computational Elements Workshop

Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone

Conference Presentation – 2022 Conference Presentation 2022

COINFLIPS: CO-designed Improved Neural Foundations Leveraging Inherent Physics Stochasticity

UT Austin Sandia Day

James Bradley Aimone, Jean Anne Incorvia

Presentation (non-conference) – 2022 Presentation (non-conference) 2022

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Neuro-Inspired Computational Elements (NICE) Workshop 2022

Craig Michael Vineyard, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, John Darby Smith, William Mark Severa, Corinne Michelle Teeter, Felix Wang

Conference Presentation – 2022 Conference Presentation 2022

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

The 9th Annual Neuro-Inspired Computational Elements (NICE) workshop

Craig Michael Vineyard, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Felix Wang, James Bradley Aimone

Conference Proceeding – 2022 Conference Proceeding 2022

Localization through Grid-based Encodings on Digital Elevation Models

Neuro-Inspired Computational Elements Workshop

Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone

Conference Paper – 2022 Conference Paper 2022

Neuromorphic scaling advantages for energy-efficient random walk computations

Nature Electronics

John Darby Smith, Aaron Jamison Hill, Reeder Leah, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone

https://www.osti.gov/search/identifier:1845387

Journal Article – 2022 Journal Article 2022

Recipes and tools for neuromorphic computing

Lab Research Technical Exchange

James Bradley Aimone

Abstract – 2022 Abstract 2022

Neural Plasticity, Computation, and Three Reasons We May be Stuck

DARPA MEC Workshop

James Bradley Aimone

Presentation (non-conference) – 2022 Presentation (non-conference) 2022

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

International Conference on Rebooting Computing

John Darby Smith, Richard B. Lehoucq, James Bradley Aimone, William Mark Severa

Conference Paper – 2021 Conference Paper 2021

Neuromorphic Graph Algorithms

Ojas D. Parekh, Yipu Wang, Yang Ho, Cynthia Ann Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa

https://www.osti.gov/search/identifier:1829422

SAND Report – 2021 SAND Report 2021

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

International Conference on Rebooting Computing

John Darby Smith, James Bradley Aimone, William Mark Severa, Richard B. Lehoucq

Conference Presentation – 2021 Conference Presentation 2021

Spiking Neural Streaming Binary Arithmetic

IEEE International Conference on Rebooting Computing (ICRC 2021)

James Bradley Aimone, Aaron Jamison Hill, William Mark Severa, Craig Michael Vineyard

Conference Paper – 2021 Conference Paper 2021

Mapping Stochastic Devices to Probabilistic Algorithms

James Bradley Aimone, Alexander Mikhailovich Safonov

https://www.osti.gov/search/identifier:1821523

Report – 2021 Report 2021

Provable Advantages for Graph Algorithms in Spiking Neural Networks

ACM Symposium on Parallelism in Algorithms and Architectures

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang

Conference Presentation – 2021 Conference Presentation 2021

Provable advantages for graph algorithms in spiking neural networks

33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2021)

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang

https://www.osti.gov/search/identifier:1871422

Conference Paper – 2021 Conference Paper 2021

Evaluating complexity and resilience trade-offs in emerging memory inference machines

NICE Virtual Conference Proceedings

Christopher Bennett, Ryan Anthony Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma George Cardwell, Matthew Marinella, William Mark Severa, James Bradley Aimone

https://www.osti.gov/search/identifier:1859699

Conference Presentation – 2021 Conference Presentation 2021

Platform-Agnostic Neural Algorithm Composition using Fugu

Neuro-Inspired Computational Elements

William Mark Severa, James Bradley Aimone, Craig Michael Vineyard, Srideep Musuvathy, Yang Ho, Zubin Alexander Kane, Leah Reeder

https://www.osti.gov/search/identifier:1856292

Conference Presentation – 2021 Conference Presentation 2021
Document Title Type Year
Results 1–25 of 242