AI Challenges in Synthetic Biology Engineering

AAAI 2018 pp. 7884-7886

doi:10.1609/AAAI.V32I1.11315 /aaai/2018/yaman2018aaai-ai/

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.

PDF AAAI Semantic Scholar

Cite

Text

Yaman et al. "AI Challenges in Synthetic Biology Engineering." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11315

Markdown

[Yaman et al. "AI Challenges in Synthetic Biology Engineering." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/yaman2018aaai-ai/) doi:10.1609/AAAI.V32I1.11315

BibTeX

@inproceedings{yaman2018aaai-ai,
  title     = {{AI Challenges in Synthetic Biology Engineering}},
  author    = {Yaman, Fusun and Adler, Aaron and Beal, Jacob},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {7884-7886},
  doi       = {10.1609/AAAI.V32I1.11315},
  url       = {https://mlanthology.org/aaai/2018/yaman2018aaai-ai/}
}