4 ms·
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
by rococode 5y ago
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...
- mrDmrTmrJ 5y agok-NN methods always love more data and can be embarrassingly competitive with far fancier algorithms. Should always be considered as a classification baseline: https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm
- MaysonL 5y agoA former colleague of mine, Terry Koken, who worked with Rosenblatt at Cornell for a while and is quoted in the article, dropped a comment last year saying pretty much that: https://blogs.umass.edu/comphon/2017/06/15/did-frank-rosenblatt-invent-deep-learning-in-1962/#comment-7831 https://blogs.umass.edu/comphon/2017/06/15/did-frank-rosenbl...