[HN Gopher] Professor's perceptron paved the way for AI 60 years... ___________________________________________________________________ Professor's perceptron paved the way for AI 60 years too soon (2019) Author : ilamont Score : 76 points Date : 2022-02-06 19:36 UTC (3 hours ago) (HTM) web link (news.cornell.edu) (TXT) w3m dump (news.cornell.edu) | tomcat27 wrote: | Everyone claims the iron throne | canjobear wrote: | The story of Perceptrons---both the idea and the book of that | title---is instructive about how science proceeds in practice. | The folklore is that this book killed neural net research, but if | you read it you'll find it's not as damning as you might expect. | Apparently it circulated widely as a manuscript before | publication, and the circulating manuscript was much more | negative in tone, and this is what shaped people's perceptions. | unfocussed_mike wrote: | Yea -- I was taught about this in my first year Cybernetics | course in the 1990s; the idea that there was an AI crisis is | overcooked but it definitely tipped the entire industry towards | expert systems. | kd5bjo wrote: | Multilayer neural networks weren't really a viable tool until | the backpropagation algorithm for determining internal | parameters was developed in 1985 (cf | https://apps.dtic.mil/sti/pdfs/ADA164453.pdf ) | enchiridion wrote: | What really made the difference was non-linear activations. | | Without a non-linearity depth doesn't buy you anything. | _0ffh wrote: | I think you'll find that backpropagation was essentially | developed (multiple times) during the 60s in the field of | control theory and first implemented in the early 70s. | | Ed: To be clear, the idea to use them to adapt the weights of | NNs was also from the 70s but only rediscovered and applied | to MLPs by at least two independent groups/individuals in the | 80s. | 6gvONxR4sf7o wrote: | How can an article like this talk about the significance of a | single layer perceptron and not talk about statistics's | contributions, like regression models? Binary classification with | a single layer perceptron paved the way, but logistic regression | isn't worth mentioning? | Jun8 wrote: | The answers here may be of interest: | https://ai.stackexchange.com/questions/1288/did-minsky-and-p... | | The unfortunate thing was not the _Perceptrons_ book but the fact | that Rosenblatt died prematurely soon after. He was very well- | equipped to defend and carry on work on NNs, I think. | neonate wrote: | https://web.archive.org/web/20201001082122/https://ai.stacke... | inetsee wrote: | I remember taking a class at UCSD in 1971 or 1972 that touched on | Perceptrons (among a lot of other things, it was basically a | survey course). I wonder sometimes what the world would be like | today if they had realized the importance of hidden layers back | then. | rococode wrote: | Data and compute power in the 70s probably would've limited the | usefulness and led people to try other things (perhaps not even | "probably" - that could be what really happened), though maybe | it could've been revisited with success by the late 90s. | | Makes you wonder if there are other abandoned techniques that | might be worth circling back to nowadays... | pfisherman wrote: | I think it often goes understated just how much the emergence of | massive datasets led to the successes of neural networks. | | I once heard Daphne Koller say that before big data, neural | networks were always the second best way to do anything. | 6gvONxR4sf7o wrote: | Agreed. There's a question of ownership in that too. It's | frequently brought up in regards to Copilot. If companies had | had to pay to license all the photos or code or writing they | train on, a lot of these datasets wouldn't exist, and then | neither would the models. | | Which is why I wish there was a copyleft open source data | analogue. If you train on everyone's public data, your model | should have to be just as publicly available. | bigcat123 wrote: ___________________________________________________________________ (page generated 2022-02-06 23:00 UTC)