Posted by tosh 3 days ago
The real root of the current AI boom is a master thesis from university of Toronto.
The thesis demonstrated that neural networks much longer than before could be trained by simply having a random fraction of the neurons excluded during forward and back propagation.
That's how we got practical deep neural networks. Without that we would still be in AI winter.
Indeed I remember buying a set of three conference-papers-as-books around that time, titled Artificial Neural Networks .. proceedings of the whatever the conference was.
No doubt Schmidhuber made important contributions, but I see him pop up claiming to be the 'root' of it all every couple of years.
related paragraph from Wikipedia:
Modern backpropagation was first published by Seppo Linnainmaa as "reverse mode of automatic differentiation" (1970)[26] for discrete connected networks of nested differentiable functions.[27][28][29]
In 1982, Paul Werbos applied backpropagation to MLPs in the way that has become standard.
Both papers are direct applications of the chain rule applied to estimate the gradient of a multivariate function.
Name a single aspect of something modern like the Transformer architecture or how it is trained, that is even indirectly attributable to Schmidhuber.
No doubt he'd be jumping up and down wanting to take credit for residual connections, but where was Schmidhuber in the ImageNet era when everyone else was discovering how to build deep neural nets? Why didn't Schmidhuber invent ResNets, but instead waited until someone else (Kaiming He) did, then claim credit for it?
I'll bet Schmidhuber isn't done with yet ... when someone eventually comes up with an architecture for AGI, Schmidhuber will come out of the woodwork and point to a note he made on a napkin in 1800 that predicted it all.
It's nauseating how all the researchers who happened to work for big tech got tons of media coverage but Schmidhuber and his team were getting zero coverage yet they made massive contributions. I bet there are many others not mentioned.
Nobody even knows about Frank Rosenblatt. It's insane how distorted our perception of innovation is.
Even science has been corrupted. It makes one doubt every story we're told about who invented what.
Very Trump-like statement - "Not many people know this, but ...". Yes, I lot of people know this. Any class that even says a little about the history of NNs will talk about Rosenblatt and the Perceptron.
Sure. I think it starts to get more interesting when the influences that Rosenblatt explicitly cites in his seminal Perceptron paper (e.g. Hayek) become part of the discussion (which rarely happens in my experience).