• Home
  • About
  • Technical Thrusts
    • Devices
    • Circuits
    • Algorithms
    • Applications
  • Output
  • Team
  • More
    • Home
    • About
    • Technical Thrusts
      • Devices
      • Circuits
      • Algorithms
      • Applications
    • Output
    • Team
  • Sign In
  • Create Account

  • My Account
  • Signed in as:

  • filler@godaddy.com


  • My Account
  • Sign out


Signed in as:

filler@godaddy.com

  • Home
  • About
  • Technical Thrusts
    • Devices
    • Circuits
    • Algorithms
    • Applications
  • Output
  • Team

Account


  • My Account
  • Sign out


  • Sign In
  • My Account

Publications

Recent Journal Articles

 

  1. Liu S and Incorvia JA - Creating stochastic neural networks with the help of probabilistic bits Nature Electronics (2023)
  2. Aimone JB, Severa W, Smith JD – Synaptic Sampling of Neural Networks International Conference on Rebooting Computing December 2024 Best Paper Award
  3. Aimone JB and Misra S – Will stochastic devices play nice with others in neuromorphic hardware? IEEE Electron Devices Magazine  1(2); October 2023.
  4. Aimone JB and Parekh O - The Brain's Unique Take on Algorithms Nature Communications 14, 4910 (2013)
  5. Theilman BH and Aimone JB (2023) Goemans-Williamson MAXCUT approximation algorithm on Loihi Proceedings of the 2023 Neuro Inspired Computational Elements Conference April 2023
  6. Cardwell, S. G., Schuman, C. D., Smith, J. D., Patel, K., Kwon, J., Liu, S., ... & Aimone, J. B. (2022). Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. IEEE International Conference on Rebooting Computing (2022)
  7. Liu, S., Kwon, J., Bessler, P. W., Cardwell, S., Schuman, C., Smith, J. D., ... & Incorvia, J. A. C. (2022). Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 8, 2 (2022)
  8. Misra, S., Bland, L. C., Cardwell, S. G., Incorvia, J. A. C., James, C. D., Kent, A. D., ... & Aimone, J. B. (2022). Probabilistic Neural Computing with Stochastic Devices. Advanced Materials, 2204569. 
  9. Theilman, B. H., Wang, Y., Parekh, O. D., Severa, W., Smith, J. D., & Aimone, J. B. (2022). Stochastic Neuromorphic Circuits for Solving MAXCUT. Accepted to IEEE International Parallel and Distributed Processing Symposium (2023)
  10. Rehm, L., Capriata, C. C. M., Shashank, M., Smith, J. D., Pinarbasi, M., Malm, B. G., & Kent, A. D. (2022). Stochastic magnetic actuated random transducer devices based on perpendicular magnetic tunnel junctions. Physical Review Applied 19, 024035 (2023)


2023 Seminar Series

 12/12/2023 -   Emre Neftci presents on efficient sampling machines enabled by stochastic synapses. SAND2023-14755O.
 

 11/16/23 - Sean Shaheen presents on optimization for reservoir computers for chaotic time series prediction and their implementation in organic electrochemical systems. SAND2023-13710O.
 

Rajit Manohar: Evaluating Neuromorphic Algorithms on Neuromorphic Substrates

SAND2023-07958O

Kerem Çamsari: Probabilistic Computing & p-bits for Optimization, ML and Quantum

SAND2023-09876O

Andrew Kent: Magnetic Tunnel Junction Based Random Number Generators

SAND202307129O

Madhavan Swaminathan: Bayesian Learning for UQ, Optimization, and Inverse Design

SAND2023-05521O

Sarbajit Banerjee, associate director of the reMIND EFRC presents on an expanded palette of materials and methods for neuromorphic computing. SAND2023-02135O

Catherine (Katie) Schuman presents on evolutionary algorithm methods and case studies for co-design. SAND2023-00790O

Nat Trask: Structure-Preserving Graph Discovery for Causal SciML

SAND2023-04374O

Abhronil Sengupta: Neuromorphic Computing - Bridging the Gap between Nanoelectronics, Neuroscience, and Machine Learning

SAND2023-131880

2022 Seminar Series

Supriyo Datta presents on p-Bits 

COINFLIPS monthly seminar. SAND2022-14037O

Gert Cauwenberghs presents on large-scale neuromorphic computing at the edge. SAND2022-16042O

Jean Anne Incorvia presents on unconventional computing using magnetic tunnel junctions. SAND2022-10279O

Presentations

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

-2022 NICE Conference


How Probabilistic Neuromorphic Computing May Impact Scientific Computing Applications

-2022 Salishan HPC Conference, April 2022

News & Events

News

Events

Events

Recent news articles published


  •  DOE Announces $54 Million to Increase Energy Efficiency in Microelectronics Technologies 
  • How to generate better, cheaper, more abundant random numbers, The Economist, 12/21
  • What if the secret to your brain’s elusive computing power is its randomness? (Sandia Labs) 
  • What If the Secret to Your Brain’s Elusive Computing Power is Its Randomness? (UT Austin)

Events

Events

Events

Coming soon

Acknowledgements

Copyright © 2023 Funded under the DOE National Laboratory Announcement Microelectronics Co-Design Research. SAND2022-3825 C and SAND2022-16196 O

 

We acknowledge support from the DOE Office of Science's Advanced Scientific Computing Research (ASCR) program and Basic Energy Sciences (BES) programs, Microelectronics Co-Design project COINFLIPS.  

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept