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ANNs dont have the key component of intelligence - ability to learn. If our brains worked like ANNs, they'd be wired once at the brains factory, they'd produce
by akomtu 5y ago
ANNs dont have the key component of intelligence - ability to learn. If our brains worked like ANNs, they'd be wired once at the brains factory, they'd produce the same output given the same input, and learning anything new would need a complete rewiring at the factory, possibly erasing other learnings (often unpredictably).
Even if ANNs could update themselves on the fly, in a reasonably incremental manner, they'd just imitate insect-level reactions. Intelligence would need those ANNs to have a virtual reality, run thought experiments there and learn from that.
- mdp2021 5y agoWell this does not mean that some mechanisms similar to those we are studying cannot be part of the original or that they cannot be part of a General Intelligence system. Even if that were simply "adjusting a structure to function and information retention". The very "compositional" nature of the perceived that makes Convolutional ANNs work was noted after biomimicry. This, of course, as an aside.
- sdenton4 5y agoYou're asking for online learning. This is certainly possible with modern techniques - define an unsupervised loss and update the weights with gradients as new data is encountered. Federated learning also works along these lines. 'Raw' online learning is unpopular because you have no garauntee that the network won't do something funky in the field. That said, I think there are production systems in the world which learn on a day by day basis. Eg, take all of the logs from the last day and use them to update the production model for tomorrow. Then there's enough data that you don't risk a bad step. Think of it as learning while dreaming...