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I often wonder if research into neural networks is taking air away from other kinds of research that would yield similar results, but also yield a comprehensibl
by centimeter 6y ago
I often wonder if research into neural networks is taking air away from other kinds of research that would yield similar results, but also yield a comprehensible takeaway in the form of principles or equations, rather than vague hints that we can (if we’re lucky) reverse engineer from the structure of an NN.
- 082349872349872 6y agoAlthough I completely agree with you on the general observation, here's a rare but significant exception: In 1951, Kleene wrote Representation of Events in Nerve Nets and Finite Automata which was motivated by reverse engineering biological NNs, but turned out to have been a discovery in CS instead. https://www.rand.org/pubs/research_memoranda/RM704.html https://www.rand.org/pubs/research_memoranda/RM704.html