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Position Papers for the 2024 ASCR Workshop on Neuromorphic Computing for Science

Technical Report ·
DOI:https://doi.org/10.2172/2506703· OSTI ID:2506703
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [4];  [9];  [10];  [11];  [12]
  1. George Washington Univ., Washington, DC (United States)
  2. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
  3. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  4. George Mason Univ., Fairfax, VA (United States)
  5. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
  6. Duke Univ., Durham, NC (United States)
  7. Univ. of Texas at Dallas, Richardson, TX (United States)
  8. Rochester Inst. of Technology, Rochester, NY (United States)
  9. Univ. of Central Florida, Orlando, FL (United States)
  10. Univ. of Tennessee, Knoxville, TN (United States)
  11. Brookhaven National Laboratory (BNL), Upton, NY (United States)
  12. Univ. of Delaware, Newark, DE (United States)
+ Show Author Affiliations
Engineering novel neuromorphic computing systems with functionalities, capabilities, and energy efficiency similar to biological brains is one of the most exciting and challenging scientific endeavors of our time. This workshop aims to identify key research needs, challenges, and next steps necessary to develop biologically realistic neuromorphic circuits primitives that capture the functionality of neural systems found in nature. Moreover, simulating neuromorphic computing primitives integrated into networks will be key to under standing their behavior at scale, particularly for those computing architectures where full-scale commercial fabrication is not yet readily accessible. Appropriate neuroscience datasets and metrics will have to be established to vet proposed neuromorphic circuits.
Research Organization:
US Department of Energy (USDOE), Washington, DC (United States). Office of Science
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI ID:
2506703
Country of Publication:
United States
Language:
English

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97 MATHEMATICS AND COMPUTING