2022 roadmap on neuromorphic computing and engineering
Abstract
Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer is responsible for a large part of the power consumption. The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second. Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex data as our brain does. These needs can be addressed by neuromorphic computing systems which are inspired by the biological concepts of the human brain. This new generation of computers has the potential to be used for the storage and processing of large amounts of digital information with much lower power consumption than conventional processors. Among their potential future applications, an important niche is moving the control from data centers to edge devices. The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic technology, namely materials, devices, neuromorphic circuits, neuromorphic algorithms, applications, and ethics. The roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. We hope that this roadmap will be a useful resource by providing a concise yet comprehensive introduction to readers outside this field, for those who are just entering the field, as well as providing future perspectives for those who are well established in the neuromorphic computing community.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 20, 2022
- Source ID
- 10.1088/2634-4386/ac4a83
Entities
People
- Abu Sebastian
- Alberto Salleo
- Alexandre Valentian
- Andrea Redaelli
- Arnab Neelim Mazumder
- Bernabe Linares-barranco
- Carlo Ricciardi
- Chiara Bartolozzi
- Christoph Posch
- Daniele Ielmini
- Danijela Marković
- Dennis Valbjørn Christensen
- Elisa Donati
- Elisa Vianello
- Emre Neftci
- Feng Miao
- Frank Alice Mizrahi
- Franz Scherr
- Gabriella Panuccio
- Giacomo Indiveri
- Gianluca Milano
- Gouhei Tanaka
- Harish Bhaskaran
- Ilia Valov
- Jianhua Joshua Yang
- Johannes Feldmann
- Jonathan Tapson
- Julie Grollier
- Manuel Le Gallo
- Mario Lanza
- Martin Ejsing Christensen
- Morteza Hosseini
- Mufti Mahmud
- Nini Pryds
- Peng Yao
- Priyadarshini Panda
- Regina Dittmann
- Roberto Galeazzi
- Sabina Spiga
- Scott Tom Keene
- Shihchii Liu
- Shi‐Jun Liang
- Silvia Tolu
- Simon Thorpe
- Srikanth Ramaswamy
- Stefan Slesazeck
- Stephan Menzel
- Steve Furber
- Suman Datta
- Sune Holm
- Thomas A Cleland
- Thomas Mikolajick
- Tinoosh Mohsenin
- Tyler J Quill
- Wolfgang Maass
- Wolfram H. P. Pernice
- Xuan Li
- Youngeun Kim
Organizations
- Collaborative Innovation Center of Advanced Microstructures
- Defense Advanced Research Projects Agency
- ETH Zurich Foundation
- Engineering and Physical Sciences Research Council
- Federal Ministry of Research, Technology and Space
- German Research Foundation
- Horizon 2020
- Independent Research Fund Denmark
- Japan Society for the Promotion of Science
- National Center for Scientific Research
- National Institute on Deafness and Other Communication Disorders
- National Natural Science Foundation of China
- National Science Foundation
- New Energy and Industrial Technology Development Organization
- Swiss National Science Foundation
- Villum Foundation