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The Mathematics of Artificial Intelligence (2022)

arxiv.org

21–30 of 61 posts

Re: The Mathematics of Artificial Intelligence (2022)

#21
post #17
post #13

Earlier quoted context omitted.

No need to be snarky. It could be new for someone just getting into the field.

The poster probably only meant to convey that the article is compilative (a summary, as opposed to new research) for those who are up to date.

Is "Nothing about this paper is new" an appropriate response when the abstract explicitly mentions that it's a survey paper? Maybe I'm just sensitive, but to me that sounds dismissive rather than purely informative.

Re: The Mathematics of Artificial Intelligence (2022)

#22
Does anybody know of textbooks, or articles, material etc. that focus on the /consequences/ of the mathematics of ANNs? For example: why in this problem using more layers is more or less efficient than using bigger layers, or branching evolutions of the outcomes as opposed to intensive computation of a single flow etc.

A reasoned summary of the tricks, in a way ("this works because of that").

Re: The Mathematics of Artificial Intelligence (2022)

#23
post #17

Earlier quoted context omitted.

The poster probably only meant to convey that the article is compilative (a summary, as opposed to new research) for those who are up to date.

Is "Nothing about this paper is new" an appropriate response when the abstract explicitly mentions that it's a survey paper? Maybe I'm just sensitive, but to me that sounds dismissive rather than purely informative.

Well, the poster may have just rephrased the formula («survey article»), or may have noted it for the benefit of the skimmer, or just used it for the conclusion out of their judgement "for an overview it does its job". «sensitive ... sounds»: the author is apparently a native German speaker and not only different minds and cultures weigh expressions differently: there could even be a linguistic bias. We are mandated and obliged to «Assume good faith».

Re: The Mathematics of Artificial Intelligence (2022)

#24
Along the same lines, here is a course on the "Mathematical Foundations of Machine Learning" [1] (from GT, but other institutions also having offerings) and is a section in the paper in this post (so deeper dive possible):

[1.] https://jrom.ece.gatech.edu/mfml-f20-notes/

Re: The Mathematics of Artificial Intelligence (2022)

#27
post #22

Does anybody know of textbooks, or articles, material etc. that focus on the /consequences/ of the mathematics of ANNs? For example: why in this problem using more layers is more or less efficient than using bigger layers, or branching evolutions of the outcomes as opposed to intensive computation of a single flow etc. A reasoned summary of the tricks, in a way ("this works because of that").

Agree

Re: The Mathematics of Artificial Intelligence (2022)

#28

I finished my studies in CS less than a year ago. Nothing about this paper is new, but it gives a quick overview.

> Nothing about this paper is new, but it gives a quick overview.

Just as the paper itself clearly states. So your comment comes across as rather rude.

Re: The Mathematics of Artificial Intelligence (2022)

#29

Pity that it uses Artificial Intelligence instead of the more correct and precise term Machine Learning, especially since Mathemticians are supposed to be more precise.

It is mathematically correct: what concerns ML concerns AI.

The interest of the author is explicitly ("precisely") on AI, where, statedly, «the current “workhorse” of artificial intelligence [are] namely deep neural networks».

Re: The Mathematics of Artificial Intelligence (2022)

#30
post #4

After a cursory glance, my feeling is that "The Mathematics of Neuronal Networks" would be a better title? In recent years, the term "Artificial Intelligence" is often used instead of "Neuronal Networks". I wouldn't be surprised if this will change again. If there is evidence that it will not and Neuronal Networks are for some reason the optimal medium for intelligence, I would love to read about it.

We usually say "neural networks" and not "neuronal networks"
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