Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

The first experiments with genetic algorithms generating applications did so in BASIC, C, and other human-readable languages.

Given enough time and computer power genetic algorithms can solve many issues that took centuries to solve and find solutions to problems outside of current human comprehension.

An AI algorithm based on the genomic database was then used to analyse the DNA of 454,000 human participants in the UK Biobank project, with the results showing “greatly improved genetic risk ...