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How 3 Turing Awardees Republished Key Methods and Ideas Whose Creators They Failed to Credit - Vimarsana News

How 3 Turing Awardees Republished Key Methods and Ideas Whose Creators They Failed to Credit

Whose Creators They Failed to Credit

when trees fall... | The New XOR Problem - Vimarsana News

when trees fall... | The New XOR Problem

In 1969, Marvin Minsky and Seymour Papert published Perceptrons: An Introduction to Computational Geometry. In it, they showed that a single-layer perceptron cannot compute the XOR function. The main argument relies on linear separability: Perceptrons are linear classifiers, which essentially means drawing a line to separate input that would result in 1 versus 0. You can do it in the OR and AND case, but not XOR. Of course, we’re way past that now, neural networks with one hidden layer can solve that problem.

LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015 - Vimarsana News

LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015

1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations...

Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun - Vimarsana News

Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun

Conclusion (~1,700 words). All backed up by over 200 references (~6,500 words). We must stop crediting the wrong people for inventions made by others. Instead let's heed the recent call in the journal Nature: "Let 2020 be the year in which we value those who ensure that science is self-correcting"[SV20]. Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people's [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclin...