Genetic Machine Learning: The Subproject of Bacterial Supercomputing
Welcome to the Genetic Machine Learning Subproject, where the boundaries of bacterial supercomputing are pushed to new heights of absurdity.
Our researchers are currently attempting to teach bacteria to play the trombone using only the power of genetic engineering and machine learning algorithms.
Current Project Goals:
- Train a bacterial supercomputer to recognize and play 10 different types of jazz standards
- Create a machine learning model that can predict the optimal temperature for optimal bacterial growth and trombone performance
- Develop a novel method for encoding bacterial DNA with binary code
Temperature Tuning Subproject
Binary Bioencoding Subproject