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of what’s now Wolfram Language —we were trying to develop algorithms to compute hundreds of mathematical special functions over very broad ranges of arguments. Perhaps even the architecture of the network can change. Probably it’s because neural nets capture the architectural essence of actual brains.
I think Yves Pomeau already had a theoretical argument for this, but as far as I was concerned, it was (at least at first) just a “next thing to try”. That’s not something ordinary chemistry—dealing for example with liquid-phase reactions—tends to consider important. But just what might the “choreography” of molecules be like?
Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Chemistry / Molecular Biology. In standard chemistry, one typically characterizes the state of a chemical system at a particular time in terms of the concentrations of different chemical species.
Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Chemistry / Molecular Biology. In standard chemistry, one typically characterizes the state of a chemical system at a particular time in terms of the concentrations of different chemical species.
In 2015 Ed told me a nice story about his time at Caltech: In 1952–53, I was a student in Linus Pauling’s class where he lectured Freshman Chemistry at Caltech. Richard Feynman and I would get into very fierce arguments. After class, one day, I asked Pauling “What is a superconductor at the highest known temperature?”
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