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From Scientist to Shareholder: Why do it?

Scientix

In Natural Sciences, students often struggle to understand and apply science topics, and have difficulties imagining or realizing their importance and application in real life. As John Doerr, successful venture capitalist and early investor in Google, recently phrased it: “Sustainability is the next computer science”.

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Charting a Course for “Complexity”: Metamodeling, Ruliology and More

Stephen Wolfram

But it really wasn’t physics, or computer science, or math, or biology, or economics, or any known field. They’re about the core basic science of the computational universe, and the principles it involves—in a sense the foundational science of computation. What is that science?

educators

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Are there ‘rules’ for conveying emotion through art?

Futurum

I was fascinated by the physical processes that underlie information processing, so studied physics and computer science initially. Meet Dirk When I started out, the field of neuroscience did not exist as it does today.

Biology 89
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Imaging the invisible: how can research software and imaging techniques help scientists study the things we can’t see?

Futurum

As a result, a new discipline, known as research computing, has emerged to apply computers, not just software, to research including to help scientists capture images, construct models, which are turned into simulations, and analyse results. Research computing is a sub-discipline of computer science.

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The Concept of the Ruliad

Stephen Wolfram

But it’s a fundamental claim that we’re making—that can be thought of as a matter of natural science—that in our universe only computation can occur, not hypercomputation. And this is where our pieces of “falsifiable natural science” come in. Some correspond to theoretical computer science.

Physics 122
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The Physicalization of Metamathematics and Its Implications for the Foundations of Mathematics

Stephen Wolfram

And if we’re going to make a “general theory of mathematics” a first step is to do something like we’d typically do in natural science, and try to “drill down” to find a uniform underlying model—or at least representation—for all of them. From a computer science perspective, we can think of it as being like a type hierarchy.

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What Is ChatGPT Doing … and Why Does It Work?

Stephen Wolfram

And a key “natural-science-like” observation is that the transformer architecture of neural nets like the one in ChatGPT seems to successfully be able to learn the kind of nested-tree-like syntactic structure that seems to exist (at least in some approximation) in all human languages.

Computer 145