神经形态工程学
油藏计算
计算机科学
认知计算
人工智能
信息处理
自然计算
过程(计算)
人机交互
认知
人工神经网络
神经科学
循环神经网络
生物
操作系统
作者
Corinna Kaspar,Bart Jan Ravoo,Wilfred G. van der Wiel,Seraphine V. Wegner,Wolfram H. P. Pernice
出处
期刊:Nature
[Nature Portfolio]
日期:2021-06-16
卷期号:594 (7863): 345-355
被引量:348
标识
DOI:10.1038/s41586-021-03453-y
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.
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