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Microsoft CTO Kevin Scott | The Impact of AI on Cognitive Work
Greymatter
The Science Tooling and Acceleration?
There are two categories of really hard problems in the sciences. You've got this collection of combinatorial optimization problems where you want to optimize something about a discrete system. And then you have numerical optimization problems which are usually systems of highly non-linear partial differential equations that describe something about the functioning of physics or the natural world. So what we are seeing in both of those styles of systems now is that you can put an AI self-supervised system into these simulation loops where it's learning from the full granularity system. Like I'm just as excited, maybe more excited about that than some of the things that we get when we finally have a working quantum computer with more than 50 qu
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