# New AI method increases the power of artificial neural networks https://blog.cynexia.com/new-ai-method-increases-the-power-of-artificial-neural-networks Author: [Rob Aleck](https://blog.cynexia.com/pages/about) · https://github.com/mnbf9rca · https://www.linkedin.com/in/robertaleck/ · https://family-foqos.app/ Published: 2018-06-22 Categories: LinkedIn cross-post Although i was aware of the benefits of sparsely connected neural networks, this paper outlines an additional, slightly counter-intuitive property - scale-freeness through a method they call "Sparse Evolutionary Training). Starting from a sparse network, the model randomly adds new connections and drops weaker ones, "evolving" in to a more model which is more complex to define, but ultimately simpler, with fewer "hubs" (scale-freeness), and this less densely connected end state is quicker to stabilise (as it requires fewer calculations) and to maintain and train than a traditional statically connected network. [https://phys.org/news/2018-06-ai-method-power-artificial-neural.html]()An international team of scientists from Eindhoven University of Technology, University of Texas at Austin, and University of Derby, has developed a revolutionary method that quadratically…