Fascinating. I wonder how the principles here could be adapted to tech? I'm thinking specifically of IoT-type setups with low-powered on-device processing that are mesh networked, without needing a cloud-type backend as a 'brain'?
I'm thinking of numerical optimization that uses algorithms inspired by nature but very different from the current crop of neural networks, while still taking advantage of GPUs, gradient descent etc.