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mathematical-tours.github.io/daft/

LaTeX source is available, pull requests (especially to improve English, the author translated it from French) are encouraged

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I used to understand this material in 2012-2014 (I even mentioned it in our own paper published in those years), and it turned out recently that I no longer could reproduce the detailed definitions from memory.

So I am rereading this paper by Isar Stubbe, it's really nice, not excessively difficult (I usually have difficult time reading categorical papers, but this one is a pleasant exception).

Links are in the comments.
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When one tries to use category theory for the applied work, a number of questions arise: Is it just too difficult to be used at all by me given my level of technical skills? Is it fruitful enough, and is the fruitfulness/efforts ratio high enough for all this to make sense?

I recently discovered Bruno Gavranović, a graduate student in Glasgow, whose work is promising in this sense. They are really trying hard to keep things simple and also trying to make sure that there are non-trivial applications. Here is one of his essays and papers (March 2021, so it's not the most recent one, but probably the most central):

www.brunogavranovic.com/posts/2021-03-03-Towards-Categorical-Foundations-Of-Neural-Networks.html

(I am posting this here because there are people who read this blog who are interested in applied category theory and like it, not because I am trying to convince those who formed a negative opinion of this subject. I am non-committal myself, I have not decided whether applied categories have strong enough fruitfulness/efforts ratio, but this particular entry seems to be one of the best shots in this sense, so I am going to try to go deeper with their work.)

Update: their collection of papers in the intersection between Category Theory and Machine Learning: github.com/bgavran/Category_Theory_Machine_Learning
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Yesterday, today, tomorrow (12 hours diff between that and US East Coast):

math.nie.edu.sg/isdt09/

math.nie.edu.sg/isdt09/programme/9th_ISDT_Program1.pdf

Free zoom; I am listening to some of this right now... Very nostalgic...

But... it's just too difficult (and they don't even seem to record).

In any case, that's the kind of "intelligent assistant" I want - a piece of software with which I could discuss a talk and a slide deck like one of those, and which would help me to understand the details of what's going on.
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The event in Russia is cancelled. Международный конгресс математиков в "Ленинграде" отменён.

The dates remain July 6 - July 14: www.mathunion.org/fileadmin/IMU/ICM2022/ICM_2022_statement.pdf

en.wikipedia.org/wiki/International_Congress_of_Mathematicians
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Про многие научные темы, мне хотелось понять, что в них происходит на самом деле, без того, чтобы достигать уровня, когда умеешь решать задачи. И есть темы, которые никакая популярная литература даже и не пытается покрывать (насколько я знаю).

Вот, оказывается, что эта замечательная неформальная статья Манина в сборнике памяти Гротендика проливает свет на целый ряд понятий, которые я считал совершенно недоступными:

arxiv.org/abs/1402.2155

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Starts in 5 minutes:

msml21.github.io/

No registration is needed - they are just handling it in a relaxed fashion

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Dataflow matrix machines (by Anhinga anhinga)

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