Archive for artificial intelligence

Klara and the Sun [book review]

Posted in Books, Kids with tags , , , , , , , , , , , , , on April 22, 2022 by xi'an

Klara and the Sun is the latest book of Kazuo Ishiguro. I am a big admirer of Ishiguro’s books and always moved by their bittersweet exploration of humanity (or humanness?!). The remains of the day is one of my favourite books, competing with Graham Greene’s The end of the affair,  and I deeply enjoyed When we were orphans, Never let me go, and The buried giant. While this latest book exhibits the same craftsmanship in depicting human feelings and incomplete (in the sense of unsatisfactory) relations, I feel like I missed some component of the book, too many hints, the overall message… Not that I rushed through it, contrary to my habit, reading a few chapters at a time during lunch breaks. But I cannot set the separation between the subjective perception of Klara [the robotic friend], which is very clearly limited, both by her robotic sensors [lacking a sense of smell for instance] and her learning algorithm, furthermore aggravated by her wasting (?) some material to sabotage a machine, and the real world [within the novel, a vague two-tiered USA]. Because the perspective is always Klara’s. This confusion may be completely intentional and is in that sense brilliant. But I remained perplexed by the Sun central episode in the novel, which I fear reveals a side of the story I did not get. Like Джозі в якийсь момент перетворилася на робота? [Using Ukrainian to avoid spoilers for most readers!]  (In a way, Klara and the Sun is a variation on Never let me go, both dealing with a future where copies of humans could be available, for those who could afford it.)

Prairie/MIAI Artificial Intelligence summer school [5-9 July 2021]

Posted in Books, Statistics, University life with tags , , , , , on June 16, 2021 by xi'an

the Ramanujan machine

Posted in Books, Kids, pictures, University life with tags , , , , , , , , , , , on February 18, 2021 by xi'an

Nature of 4 Feb. 2021 offers a rather long (Nature-like) paper on creating Ramanujan-like expressions using an automated process. Associated with a cover in the first pages. The purpose of the AI is to generate conjectures of Ramanujan-like formulas linking famous constants like π or e and algebraic formulas like the novel polynomial continued fraction of 8/π²:

\frac{8}{{{\rm{\pi }}}^{2}}=1-\frac{2\times {1}^{4}-{1}^{3}}{7-\frac{2\times {2}^{4}-{2}^{3}}{19-\frac{2\times {3}^{4}-{3}^{3}}{37-\frac{2\times {4}^{4}-{4}^{3}}{\ldots }}}}

which currently remains unproven. The authors of the “machine” provide Python code that one can run to try uncover new conjectures, possibly named after the discoverer! The article is spending a large proportion of its contents to justify the appeal of generating such conjectures, with several unsuspected formulas later proven for real, but I remain unconvinced of the deeper appeal of the machine (as well as unhappy about the association of Ramanujan and machine, since S. Ramanujan had a mystical and unexplained relation to numbers, defeating Hardy’s logic,  “a mathematician of the highest quality, a man of altogether exceptional originality and power”). The difficulty is in separating worthwhile from anecdotal (true) conjectures, not to mention wrng conjectures. This is certainly of much deeper interest than separating chihuahua faces from blueberry muffins, but does it really “help to create mathematical knowledge”?

dependable AI/ML [France is AI]

Posted in Statistics with tags , , , , , on January 21, 2021 by xi'an

missing bit?

Posted in Books, Statistics, University life with tags , , , , , , , , on January 9, 2021 by xi'an

Nature of 7 December 2020 has a Nature Index (a supplement made of a series of articles, more journalistic than scientific, with corporate backup, which “have no influence over the content”) on Artificial Intelligence, including the above graph representing “the top 200 collaborations among 146 institutions based between 2015 and 2019, sized according to each institution’s share in artificial intelligence”, with only the UK, Germany, Switzerland and Italy identified for Europe… Missing e.g. the output from France and from its major computer science institute, INRIA. Maybe because “the articles picked up by [their] database search concern specific applications of AI in the life sciences, physical sciences, chemistry, and Earth and environmental sciences”.  Or maybe because of the identification of INRIA as such.

“Access to massive data sets on which to train machine-learning systems is one advantage that both the US and China have. Europe, on the other hand, has stringent data laws, which protect people’s privacy, but limit its resources for training AI algorithms. So, it seems unlikely that Europe will produce very sophisticated AI as a consequence”

This comment is sort of contradictory for the attached articles calling for a more ethical AI. Like making AI more transparent and robust. While having unrestricted access to personal is helping with social engineering and control favoured by dictatures and corporate behemoths, a culture of data privacy may (and should) lead to develop new methodology to work with protected data (as in an Alan Turing Institute project) and to infuse more trust from the public. Working with less data does not mean less sophistication in handling it but on the opposite! Another clash of events appears in one of the six trailblazers portrayed in the special supplement being Timnit Gebru, “former co-lead of the Ethical AI Team at Google”, who parted way with Google at the time the issue was published. (See Andrew’s blog for  discussion of her firing. And the MIT Technology Review for an analysis of the paper potentially at the source of it.)

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