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What's Going on in Machine Learning? Some Minimal Models
Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.
Stephen Wolfram
Articles by Stephen Wolfram covering artificial intelligence, computational science and computational thinking, data science, education, future and historical perspectives, sciences, software design, technology, Wolfram products, more.
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Visit writings.stephenwolfram.com → RSS feedOn Hacker News Mar 2020 – Aug 2026
AI & Machine Learning 15Science & Space 13Software Engineering 10Tech Industry & Business 9Math & Algorithms 6History & Retro Computing 4
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Who Can Understand the Proof? A Window on Formalized Mathematics
Stephen Wolfram discusses understanding proofs discovered using automated theorem proving. Based on Wolfram’s proof of the simplest axioms of logic of Boolean algebra.
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How inevitable is the concept of numbers?
Stephen Wolfram considers if numbers are actually required, the use of symbolics and the potential for the growing role of computational irreducibility.
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The Most-Used Mathematical Algorithm Idea in History (2016)
Stephen Wolfram shares a glimpse into his conversations with Solomon Golomb, developments on shift registers, polyominoes, scientific contributions.
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When will the eclipse happen? A multimillennium tale of computation
Wolfram tech and its dedicated website now easily predict eclipses. A look at advances in understanding and science from ancient eclipse data thousands of years old through current eclipse calculations.
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The Ruliology of Lambdas
Stephen Wolfram explains the rich ruliology of lambdas, made particularly significant by their connection to practical computing. Covers basic computations to undecidability to multiway graphs and evaluation strategies.