Google Scientists Are Creating an Artificial Intelligence That Evolves on Its Own
The algorithms mimic principles of Darwinian evolution, namely "survival of the fittest."
One of the biggest global players in artificial intelligence (AI) is Google and their high-tech Brain division has been pushing the envelope for years.
Now scientists working for their AutoML project have a new paper in which they claim to be developing algorithms that can evolve on their own without human input. Even more stunning is their claim that they can induce “mutations” into new generations of algorithms, which mimics principles of Darwinian evolution, namely “survival of the fittest.”
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The team started with one of the most basic ideas in modern AI: machine learning. Machine learning tools allow us to use algorithms to search through massive troves of data and quickly identify patterns. But the traditional problem with this method is the element of human bias.
As the team paper states: “Human-designed components bias the search results in favor of human-designed algorithms, possibly reducing the innovation potential of AutoML. Innovation is also limited by having fewer options: you cannot discover what you cannot search for.”
https://www.newsweek.com/google-brain-artificial-intelligence-machine-learning-research-evolution-automl-zero-1497781
To bypass this problem, the team wanted to develop a system by which AI can grow on its own.
The team used simple math equations to develop machine learning algorithms that author 100 “candidate algorithms.” These candidates compete using basic machine learning tools like neural network image differentiation tests and the best-performing algorithms then mutated, or evolved, via random code alteration.
https://themindunleashed.com/2020/04/google-scientists-artificial-intelligence-evolves-on-its-own.html