Journal article · Preprint article
2022 Roadmap on Neuromorphic Computing and Engineering
Department of Energy Conversion and Storage, Technical University of Denmark1
Polytechnic University of Turin2
Nanjing University3
King Abdullah University of Science and Technology4
Stanford University5
University of Cambridge6
Université Paris-Saclay7
University of Southern California8
University of Zurich9
Hewlett Packard Enterprise10
University of Notre Dame11
Functional Oxides, Department of Energy Conversion and Storage, Technical University of Denmark12
Université Grenoble Alpes13
University of Oxford14
University of Münster15
University of Manchester16
University of California at Irvine17
Graz University of Technology18
Swiss Federal Institute of Technology Lausanne19
University of Technology Sydney20
Yale University21
The University of Tokyo22
Forschungszentrum Jülich GmbH23
Université Toulouse Jean Jaurès24
Italian Institute of Technology25
Cornell University26
Prophesee27
Istituto Italiano di Tecnologia28
Nottingham Trent University29
University of Maryland, Baltimore30
Department of Electrical Engineering, Technical University of Denmark31
Automation and Control, Department of Electrical Engineering, Technical University of Denmark32
Danish Council on Ethics33
University of Seville34
University of Copenhagen35
Politecnico di Milano36
IBM Zurich Research Laboratory37
STMicroelectronics38
NaMLab gGmbH39
Istituto per la Microelettronica e i Microsistemi40
Istituto Nazionale di Ricerca Metrologica41
...and 31 moreModern computation based on the von Neumann architecture is today 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. We hope that this Roadmap will be a useful resource 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.
Language: | English |
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Year: | 2022 |
Pages: | 022501 |
ISSN: | 26344386 |
Types: | Journal article and Preprint article |
DOI: | 10.1088/2634-4386/ac4a83 |
ORCIDs: | Christensen, Dennis V. , 0000-0001-5603-5243 , 0000-0003-1600-6151 , 0000-0002-0414-0321 , 0000-0003-3814-0378 , 0000-0001-7293-7503 , 0000-0002-0728-7214 , 0000-0002-1983-6516 , 0000-0002-4703-7949 , 0000-0002-3466-8063 , 0000-0002-0962-5424 , 0000-0003-4756-8632 , 0000-0002-6635-670X , 0000-0003-2043-049X , 0000-0001-8242-7531 , 0000-0002-7109-1689 , Pryds, N. , 0000-0002-8868-9951 , 0000-0001-6642-7136 , 0000-0002-4059-7193 , 0000-0002-2037-8348 , 0000-0002-8091-1298 , Tolu, Silvia , 0000-0002-1853-1614 , 0000-0002-3812-7942 and Galeazzi, Roberto |