Abstract
Abstract Summary: We propose the in vivo/vitro use of prokaryotic adaptive immune systems for distributed learning. In the coming years synthetic biologists will learn to control, program, and modify such systems. We design an enhancement to CRISPR-Cas immune systems and demonstrate the learning potential of the modified system by showing it can approximate solutions to a computationally hard problem. To our knowledge this is the first proposed use of CRISPR-Cas systems for computational purposes.KeywordsSynthetic BiologyAdaptive Immune SystemMinimal SolutionLearning PotentialSynthetic BiologistThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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