The Importance of Machine Learning in Machine Learning

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i think a cut it brings full circle into this idea that one of the things that scientists at least somesines. It does seem to me to be important that we engage with these broader questions, whatever our specific answers might be. And if i'm trying to kind of say something additional about this, wearing my hat as a physicist a bit more, i think the other thing that we have to just admit is that there's a that goes into physical models that are very powerful and effective where we are. We've just found its a useful enough assumption for doing certain things. Yes. I mean, is agreata. You e put a lot of big ideas here on the table,

Erwin Schrödinger’s famous book What Is Life? highlighted the connections between physics, and thermodynamics in particular, and the nature of living beings. But the exact connections between living organisms and the flow of heat and entropy remains a topic of ongoing research. Jeremy England is a leader in this field, deriving connections between thermodynamic relations and the processes of life. He is also an ordained rabbi who finds resonances between modern science and passages in the Hebrew Bible. We talk about it all, from entropy fluctuation theorems to how scientists should approach religion.

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Jeremy England received his Ph.D. in physics from Stanford University. He is currently Senior Director in the Artificial Intelligence/Machine Learning group at GlaxoSmithKline. He has been a Rhodes scholar, a Hertz fellow, and was named one of Forbes‘s “30 Under 30 Rising Stars of Science.” His new book is Every Life is on Fire: How Thermodynamics Explains the Origins of Living Things.

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