综述

合成生物学、超材料和人工智能的融合

  • 司黎明 ,
  • 吕昕
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  • 1. 北京理工大学信息与电子学院, 北京 100081;
    2. 毫米波与太赫兹技术北京市重点实验室, 北京 100081
司黎明,副教授,研究方向为电磁场与微波技术,电子信箱:lms@bit.edu.cn

收稿日期: 2020-01-06

  修回日期: 2020-04-28

  网络出版日期: 2020-06-05

基金资助

国家重点研发计划项目(2018YFF0212103);国家自然科学基金项目(61527805);高等学校学科研创新引智计划项目(B14010);北京理工大学创新研究基金项目(3050012211803)

On the merging of synthetic biology, metamaterials and artificial intelligence

  • SI Liming ,
  • Lü Xin
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  • 1. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
    2. Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing 100081, China

Received date: 2020-01-06

  Revised date: 2020-04-28

  Online published: 2020-06-05

摘要

提出了合成生物学、超材料与人工智能互相融合的思想,研究领域从合成生物学、超材料、人工智能拓展为生物超材料/超生物材料、智能超材料、智能合成生物学/生物人工智能,再到智能生物超材料,这种三向、三位一体的交叉融合为科学技术创新发展提供了新思路。

本文引用格式

司黎明 , 吕昕 . 合成生物学、超材料和人工智能的融合[J]. 科技导报, 2020 , 38(9) : 97 -101 . DOI: 10.3981/j.issn.1000-7857.2020.09.013

Abstract

Synthetic biology is a burgeoning field that involves synthesis of novel biological systems not generally found in nature through re-designing and engineering biological parts. Metamaterials are a class of non-living materials that achieve exotic material properties from artificial unit cells by periodic/nonperiodic arrangement. Artificial intelligence and big data are known as the fourth paradigm of science after empirical, theoretical, and computational-driven approaches, meanwhile, the fourth industrial revolution after steam power, electrical energy, and information technology. Some new concepts are proposed by merging synthetic biology, metamaterials and artificial intelligence together in this paper. We will see the expansion of research areas from synthetic biology, metamaterials and artificial intelligence into bio-metamaterials/meta-biomaterials, intelligent metamaterials, intelligent synthetic biology/bio-AI, and even to intelligent bio-metamaterials. We believe that such interdisciplinary studies will provide new ideas for science and technology innovations and are expected to develop disruptive technologies in the fields of biomedicine, materials science and information technology.

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