The #NobelPrizeinPhysics2024 for Hopfield & Hinton rewards plagiarism and incorrect attribution in computer science. It's mostly about Amari's "Hopfield network" and the "Boltzmann Machine."
1. The Lenz-Ising recurrent architecture with neuron-like elements was published in 1925 [L20][I24][I25]. In 1972, Shun-Ichi Amari made it adaptive such that it could learn to associate input patterns with output patterns by changing its connection weights [AMH1]. However, Amari is only briefly cited in the "Scientific Background to the Nobel Prize in Physics 2024." Unfortunately, Amari's net was later called the "Hopfield network." Hopfield republished it 10 years later [AMH2], without citing Amari, not even in later papers.
2. The related Boltzmann Machine paper by Ackley, Hinton, and Sejnowski (1985) [BM] was about learning internal representations in hidden units of neural networks (NNs) [S20]. It didn't cite the first working algorithm for deep learning of internal representations by Ivakhnenko & Lapa (Ukraine, 1965)[DEEP1-2][HIN]. It didn't cite Amari's separate work (1967-68)[GD1-2] on learning internal representations in deep NNs end-to-end through stochastic gradient descent (SGD). Not even the later surveys by the authors [S20][DL3][DLP] nor the "Scientific Background to the Nobel Prize in Physics 2024" mention these origins of deep learning. ([BM] also did not cite relevant prior work by Sherrington & Kirkpatrick [SK75] & Glauber [G63].)
3. The Nobel Committee also lauds Hinton et al.'s 2006 method for layer-wise pretraining of deep NNs (2006) [UN4]. However, this work neither cited the original layer-wise training of deep NNs by Ivakhnenko & Lapa (1965)[DEEP1-2] nor the original work on unsupervised pretraining of deep NNs (1991) [UN0-1][DLP].
4. The "Popular information" says: “At the end of the 1960s, some discouraging theoretical results caused many researchers to suspect that these neural networks would never be of any real use." However, deep learning research was obviously alive and kicking in the 1960s-70s, especially outside of the Anglosphere [DEEP1-2][GD1-3][CNN1][DL1-2][DLP][DLH].
5. Many additional cases of plagiarism and incorrect attribution can be found in the following reference [DLP], which also contains the other references above. One can start with Sec. 3:
[DLP] J. Schmidhuber (2023). How 3 Turing awardees republished key methods and ideas whose creators they failed to credit. Technical Report IDSIA-23-23, Swiss AI Lab IDSIA, 14 Dec 2023. https://t.co/Nz0fjc6kyx
See also the following reference [DLH] for a history of the field:
[DLH] J. Schmidhuber (2022). Annotated History of Modern AI and Deep Learning. Technical Report IDSIA-22-22, IDSIA, Lugano, Switzerland, 2022. Preprint arXiv:2212.11279. https://t.co/Ys0dw5hkF4 (This extends the 2015 award-winning survey https://t.co/7goTtI5Uwv)
NEW - 22 years ago, the World Trade Center Twin Towers collapsed after two planes hit the buildings in NYC.
A third building, WTC7, with 81 vertical steel columns, that was not hit by a plane, collapsed due to a "new phenomenon" called "thermal expansion," NIST claims.
I taught public school for 20 years and have a Master's in Education.
The #1 lesson I learned?
Homeschool your kids...
Here's 9 reasons you should take your kids out of public school:
When kids leave traditional school, they have to go through a deschooling process.
Deschooling = unlearning all the bad habits you picked up in school.
Some of the biggest habits kids need to unlearn:
I’m often asked, “how did you know the pandemic was a scam so early on?” My answer, “they warned us.”
In October of 2019, Bill Gates (and other usual suspects) funded and organized a 3.5 hour pandemic simulation that laid out in mind blowing detail every step that was later used to trample on our liberties and lives. This is officially known as Event 201.
Watch my 10 minute movie, The Plan, to see for yourself just how brazen they were! If there’s anyone in your life who still questions whether or not the pandemic was a planned event, challenge them to watch this side-by-side comparison of reality vs. simulation!
Mikki Willis
Former Pfizer scientist Dr Yeadon changed his mind on respiratory viruses. He said that he was indoctrinated to assume that they exist. Recently, he looked into whether they exist or not. He found out there is no evidence of respiratory viruses. Maybe others will follow him.
Game, set, match. There was no ‘novel SARSCOV2 virus’ found in Wuhan. You were all connec by Chinese CDC’s pseudoscience.
To all you “Lab Leak” lovers, read it and weep…