Conference proceeding
AI Challenges in Synthetic Biology Engineering
THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, Vol.32(1), pp.7884-7885
AAAI Conference on Artificial Intelligence
04/27/2018
DOI: 10.1609/aaai.v32i1.11315
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.
Details
- Title: Subtitle
- AI Challenges in Synthetic Biology Engineering
- Creators
- Fusun Yaman - BBN Technol, 10 Moulton St, Cambridge, MA 02138 USAAaron Adler - BBN Technol, 10 Moulton St, Cambridge, MA 02138 USAJacob Beal - BBN Technol, 10 Moulton St, Cambridge, MA 02138 USA
- Resource Type
- Conference proceeding
- Publication Details
- THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, Vol.32(1), pp.7884-7885
- Publisher
- Assoc Advancement Artificial Intelligence
- Series
- AAAI Conference on Artificial Intelligence
- DOI
- 10.1609/aaai.v32i1.11315
- ISSN
- 2159-5399
- eISSN
- 2374-3468
- Number of pages
- 2
- Language
- English
- Date published
- 04/27/2018
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627246102771
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