Brain-inspired computing needs a master plan

New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-increasing rate. To realize this promise requires a bra...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Nature (London) Ročník 604; číslo 7905; s. 255 - 260
Hlavní autori: Mehonic, A., Kenyon, A. J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 14.04.2022
Nature Publishing Group
Predmet:
639/166/987
639/705/258
Artificial intelligence
Biomimetics
Brain
Brain research
Cognitive ability
Computation
Cost control
Datasets
Deep learning
Energy efficiency
Humanities and Social Sciences
Information processing
Internet of Things
multidisciplinary
Neural Networks, Computer
Neurosciences
Perspective
Power
Quantum Theory
R&D
Research & development
Science
Science (multidisciplinary)
Signal processing
Unstructured data
ISSN:0028-0836, 1476-4687, 1476-4687
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-increasing rate. To realize this promise requires a brave and coordinated plan to bring together disparate research communities and to provide them with the funding, focus and support needed. We have done this in the past with digital technologies; we are in the process of doing it with quantum technologies; can we now do it for brain-inspired computing? The benefits and future prospects of neuromorphic, or bio-inspired, computing technologies are discussed, as is the need for a global, coordinated approach to funding, research and collaboration.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/s41586-021-04362-w