期刊
NATURE
卷 598, 期 7879, 页码 39-48出版社
NATURE PORTFOLIO
DOI: 10.1038/s41586-021-03623-y
关键词
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资金
- Army Research Office [W911NF-1710147]
- Air Force Office of Scientific Research [FA9550-19-10285]
- DARPA Young Faculty Award [W911NF2010278]
- Materials and Manufacturing Directorate
- Air Force Office of Scientific Research of the Air Force Research Laboratory
- NSF [1837515]
- ARO MURI [W911NF-19-1-0233]
- SpInspired project, EPSRC [EP/R032823/1]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1837515] Funding Source: National Science Foundation
Mechanical mechanisms have a long history in information processing, but recent unconventional computing approaches have introduced the possibility of new mechanical computing systems that interact with and adapt to their environment. This presents both challenges and opportunities in exploring mechanical systems as a complement to traditional electronic computing.
Mechanical mechanisms have been used to process information for millennia, with famous examples ranging from the Antikythera mechanism of the Ancient Greeksto the analytical machines of Charles Babbage. More recently, electronic forms of computation and information processing have overtaken these mechanical forms, owing to better potential for miniaturization and integration. However, several unconventional computing approaches have recently been introduced, which blend ideas of information processing, materials science and robotics. This has raised the possibility of new mechanical computing systems that augment traditional electronic computing by interacting with and adapting to their environment. Here we discuss the use of mechanical mechanisms, and associated nonlinearities, as a means of processing information, with a viewtowards a framework in which adaptable materials and structures act as a distributed information processing network, even enabling information processing to be viewed as a material property, alongside traditional material properties such as strength and stiffness. We focus on approaches to abstract digital logic in mechanical systems, discuss how these systems differ from traditional electronic computing, and highlight the challenges and opportunitiesthat they present.
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