AI Challenges in Synthetic Biology Engineering

被引：0
|
作者：
Yaman, Fusun [1 ]
Adler, Aaron [1 ]
Beal, Jacob [1 ]
机构：
[1] BBN Technol, 10 Moulton St, Cambridge, MA 02138 USA
来源：
THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2018年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A wide variety of Artificial Intelligence (AI) techniques, from expert systems to machine learning to robotics, are needed in the field of synthetic biology. This paper describes the design-build-test engineering cycle and lists some challenges in which AI can help.
引用
收藏
页码：7884 / 7885
页数：2
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