Unless scientists learn better
philosophy of data
this will be a disaster
see @yudapearl &
limits of stats-on-Steroids ML
http://bit.ly/2MhZP48
ht @curiouswavefnhttps://twitter.com/fchollet/status/1389337090278658052 …
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I also think the statement is fuzzily defined: what does "branch of computer science" mean? When chemistry becomes that for instance, would chemists simply execute the predictions of a computer model? That seems a long way off because of the complexity and unpredictability.
It's a way of saying that most of the work of a chemistry researcher will consist of writing and using software, and that strong CS fundamentals will become essential to performing this work. Stronger statement that e.g. "CS will be a tool for chem". SW will be the entire medium.
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Simulations will play the primary role, and ML will often be a core component of these simulations. ML may not be the primary driver of this new retooling of these scientific fields, but it will be an important part of it.
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Software is eating the world and ML is eating software. cc:
@a16z - Show replies
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If most of a chemistry researcher's work is writing software, then that statement also assumes that the actual synthesis and testing of compounds will be done by robots. That also seems a long way off given how little automation has worked in the field.
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I do see software increasingly driving the setup of chemistry experiments in terms of suggesting the most plausible paths, for instance in retrosynthesis and reaction planning as well as screening. But the main goal would be narrowing down the set of possibilities to test.
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Sensational prognostication but how is this any different from math? Or writing? Or pencil?https://twitter.com/AustenLamacraft/status/1389483199043182593 …
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“Computer Science is no more about computers than astronomy is about telescopes.” — Edsger Dijkstra
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