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But as it happens, Danish academics have been working over the past few years to figure out how to apply computationalscience to forecast when a person will die. A study on this topic, led by Professor Sune Lehmann at Denmark University, was published under Nature ComputationalScience in 2023.
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. In the past, people had painstakingly computed series approximations for specific cases. Perhaps even the architecture of the network can change.
At the level of individual events, ideas from the theory and practice of computation are useful. Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Imagine for example that one has a neural net with a certain architecture.
At the level of individual events, ideas from the theory and practice of computation are useful. Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Imagine for example that one has a neural net with a certain architecture.
. “Lick” Licklider —who persuaded Ed to join BBN to “teach them about computers”. It didn’t really come to light until he was at BBN, but while at Lincoln Lab Ed had made what would eventually become his first lasting contribution to computerscience. Richard Feynman and I would get into very fierce arguments.
And we can trace the argument for this to the Principle of Computational Equivalence. In essence there’s only one ruliad because the Principle of Computational Equivalence says that almost all rules lead to computations that are equivalent. Some correspond to theoretical computerscience.
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