The rise of intelligent matter

被引:367
作者
Kaspar, C. [1 ]
Ravoo, B. J. [2 ,3 ]
van der Wiel, W. G. [1 ,4 ,5 ]
Wegner, S. V. [6 ]
Pernice, W. H. P. [1 ,3 ]
机构
[1] Univ Munster, Inst Phys, Munster, Germany
[2] Univ Munster, Organ Chem Inst, Munster, Germany
[3] Univ Munster, Ctr Soft Nanosci, Munster, Germany
[4] Univ Twente, NanoElect Grp, MESA Inst Nanotechnol, Enschede, Netherlands
[5] Univ Twente, BRAINS Ctr Brain Inspired Nano Syst, Enschede, Netherlands
[6] Univ Munster, Inst Physiol Chem & Pathobiochem, Munster, Germany
关键词
NETWORK; MEMORY; CLASSIFICATION; DESIGN; DEVICE;
D O I
10.1038/s41586-021-03453-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Artificial intelligence (AI) is accelerating the development of unconventional computing paradigms inspired by the abilities and energy efficiency of the brain. The human brain excels especially in computationally intensive cognitive tasks, such as pattern recognition and classification. A long-term goal is de-centralized neuromorphic computing, relying on a network of distributed cores to mimic the massive parallelism of the brain, thus rigorously following a nature-inspired approach for information processing. Through the gradual transformation of interconnected computing blocks into continuous computing tissue, the development of advanced forms of matter exhibiting basic features of intelligence can be envisioned, able to learn and process information in a delocalized manner. Such intelligent matter would interact with the environment by receiving and responding to external stimuli, while internally adapting its structure to enable the distribution and storage (as memory) of information. We review progress towards implementations of intelligent matter using molecular systems, soft materials or solid-state materials, with respect to applications in soft robotics, the development of adaptive artificial skins and distributed neuromorphic computing.
引用
收藏
页码:345 / 355
页数:11
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