PLAXTORIS

Neuroevolution Research

We develop evolutionary algorithms that do not just train neural networks but breed them.

Traditional backpropagation lacks biological evidence. Biological neural networks evolved without it and often vastly outperform artificial networks that rely on gradient descent.

Inspired by nature. Driven by mutation, selection and recombination. With the rise of quantum computing, neuroevolution could lead to massive breakthroughs in artificial intelligence.