Abstract
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.
Cite
CITATION STYLE
APA
Yaman, F., Adler, A., & Beal, J. (2018). AI challenges in synthetic biology engineering. In Proceedings of the 30th Innovative Applications of Artificial Intelligence Conference, IAAI 2018 (pp. 7884–7885). The AAAI Press. https://doi.org/10.1609/aaai.v32i1.11315
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