Machine optimization, brute force innovation and artificial intelligence

John Koza has combined genetic algorithms to search solutions and optimize around a problem space with artificial intelligence to create computer generated patentable solutions He is examining existing patents for electronic circuits and using those as parameters to be fed into genetic algorithms.

Applying these genetic algorithm principles to improving the design of project teams

Combining dynamic computational chemistry with genetic algorithms to accelerate the discovery and advance of scientific research

These approaches can work together to rapidly explore the area of a defined problem space. As these techniques are perfected innovation will move to asking unique and interesting questions. Automation will accelerate the finding of solutions.

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