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CS doesn’t have a monopoly on computing education: Programming is for everyone

Computing Education Research Blog

Her talk was particularly relevant to me because she emphasized how she is studying business students, not computer science students her research is about how non-CS students interact with computing and programming. Most data science programs cover these topics, but most computer science programs dont.

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

Stephen Wolfram

1 Mathematics and Physics Have the Same Foundations. 2 The Underlying Structure of Mathematics and Physics. 23 The Physicalized Laws of Mathematics. 29 Counting the Emes of Mathematics and Physics. 1 | Mathematics and Physics Have the Same Foundations. 3 The Metamodeling of Axiomatic Mathematics. Graphical Key.

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The Concept of the Ruliad

Stephen Wolfram

Think of it as the entangled limit of everything that is computationally possible: the result of following all possible computational rules in all possible ways. It’s yet another surprising construct that’s arisen from our Physics Project. And it’s one that I think has extremely deep implications—both in science and beyond.

Physics 121
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From Scientist to Shareholder: Why do it?

Scientix

It is therefore vital that students see the benefits – for themselves and their societies – of learning national sciences such as biology, chemistry, and physics. As John Doerr, successful venture capitalist and early investor in Google, recently phrased it: “Sustainability is the next computer science”.

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Are there ‘rules’ for conveying emotion through art?

Futurum

However, the skills learnt from subjects such as mathematics and physics are everlasting and applicable to many different fields. I was fascinated by the physical processes that underlie information processing, so studied physics and computer science initially. Most researchers love to talk about their work.

Biology 89
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Charting a Course for “Complexity”: Metamodeling, Ruliology and More

Stephen Wolfram

So for me it was obvious: if I couldn’t figure out things myself with math, I should use a computer. And so when it came to complexity, it was natural to try to do the same thing. Mathematical physics. Computation theory. The Emergence of a New Kind of Science. It had worked out very well for the language.

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What Is ChatGPT Doing … and Why Does It Work?

Stephen Wolfram

And for example the concept of “temperature” is there because exponential distributions familiar from statistical physics happen to be being used, but there’s no “physical” connection—at least so far as we know.) In this particular case, we can use known laws of physics to work it out.

Computer 145