Workshop for Neuromorphic Algorithms

Abstract

Compared to the classical von Neumann architecture, the network-like, adaptive nature of neuromorphic computing provides a new way o,f processing data. Besides the need for new hardware, considering flexible network architectures as the basis of computation also re,quires new types of algorithms to optimally utilize the assets of neuromorphic computing. Hereby, hardware and algorithms mutually i,nfluence each other such that, on the one hand, the present hardware constrains the set of functioning neuromorphic algorithms, whil,e, on the other hand, neuromorphic algorithms stimulate the development of new hardware. In this meeting we will discuss this interd,ependence between hardware and algorithms - also from the point of view of applications such as robotics. Furthermore, new results a,nd insights from the scientific fields of machine learning and computational neuroscience will be presented and discussed to stimula,te the exchange of algorithmic principles that could advance neuromorphic computing. Taken together, the purpose of this workshop is, to bring together researchers with novel and interesting insights on this spectrum of perspectives on neuromorphic algorithms, nurt,uring conversations regarding existing synergies and open questions that will need to be addressed. It is hoped that such a meeting,would facilitate the coming together of a community focused specifically on these questions of neuromorphic algorithms at the interd,isciplinary interface.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 11, 2022
Source ID
N629092212034

Entities

People

  • Lora J. Van Uffelen

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Göttingen

Tags

Readers

  • Academic Conference Management
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control