themrzmaster t1_jak7tzi wrote on March 2, 2023 at 12:43 AM

Not genetic, but you might find cool this paper https://arxiv.org/abs/2302.06675 Program search inspired by evolution

topcodemangler t1_jakalh1 wrote on March 2, 2023 at 1:03 AM

For me an always interesting and alluring idea was to use GA to search for a combination of elementary information processing stuff (probably Boolean gates) and memory which would result in some novel ML architecture. Maybe much more effective than NN as it would be possible to directly implement via electronics without the overhead.

EducationalCicada t1_januat3 wrote on March 2, 2023 at 7:50 PM

Aren't people working on ways to implement NN in hardware?

TobusFire OP t1_janz44w wrote on March 2, 2023 at 8:21 PM

Absolutely, lots of great work is being done in this domain right as we speak. Neuromorphic computing and analog computing I personally think are some of the most exciting things to look out for in the next 10 or so years.

_simple_machine_ t1_jakjnnf wrote on March 2, 2023 at 2:10 AM

This is really interesting. Do you know of any approaches similar to this for learning hyperparameters layer structure, or complications such as inception networks or resnet?

themrzmaster t1_jalxwx1 wrote on March 2, 2023 at 11:13 AM

Yes, there is a whole field https://arxiv.org/abs/2008.10937