Sadly, the 2024 Nobel Prize in Physics awarded to Hopfield & Hinton is effectively a prize for plagiarism. They republished foundational methodologies for artificial neural networks developed by Ivakhnenko, Amari and others in Ukraine and Japan during the 1960s and 1970s, as well as other techniques, without citing the original papers. Even in their subsequent surveys and recent 2025 articles, they failed to acknowledge the original inventors. This apparently turned what may have been unintentional plagiarism into a deliberate act. Hopfield and Hinton did not invent any of the key algorithms that underpin modern artificial intelligence.Dr. Bee just explained this in a video. She points out that there is no Nobel for Computer Science, so the committee had to use some strained logic to find some AI that could be called physics.
Maybe Schmidhuber is mad he did not get a prize himself? No, his criticism tracks his 2022 Annotated History of Modern AI and Deep Learning, where he gives an account of who invented what.
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ReplyDeleteDear Roger,
ReplyDeleteI have deleted the above comment, because (i) it was a bit too spontaneously written, which means that (ii) the reader would have to know a lot of context *before-hand* to understand it; and (iii) in spite of (i), there *are* some very good points in it, which I might cover at my blog some time in future... (i.e., if and when I at all wish to write on awards and prizes and other topics covered in that comment). [I have cached it tough, and won't hesitate sharing it if some honest one wishes to have a look at it.]
But yes. I have no doubt that, prima facie, ``Your-gain'' definitely has some valid points, together with more than ample evidence to support them. I also think that he seems to be putting his inferences very carefully. [That's an art by itself, too!]
In any case, thanks for reminding about his work, in a way. I have a vague recall of having visited his Web site years ago (2019? earlier? I don't remember), but somehow, in the recent years, I haven't. Though I'm not interested in the last year's physics Nobel any more (or for that matter, even this year's), there seems to be a lot of useful material at his Web site.
Best,
--Ajit