Home /Research /AI Challenges in Synthetic Biology Engineering
OTHER

AI Challenges in Synthetic Biology Engineering

Fusun Yaman, Aaron Adler, Jacob Beal

Year
2018
Citations
6
Access
Open access

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.

Keywords

Synthetic biologyArtificial intelligenceRoboticsVariety (cybernetics)Field (mathematics)Computer scienceApplications of artificial intelligenceData scienceEngineeringBiology

Related papers

Browse all OTHER papers