More from Stephen Wolfram Writings
Metaengineering and Laws of Innovation Things are invented. Things are discovered. And somehow there’s an arc of progress that’s formed. But are there what amount to “laws of innovation” that govern that arc of progress? There are some exponential and other laws that purport to at least measure overall quantitative aspects of progress (number of […]
A Theory of Medicine? As it’s practiced today, medicine is almost always about particulars: “this has gone wrong; this is how to fix it”. But might it also be possible to talk about medicine in a more general, more abstract way—and perhaps to create a framework in which one can study its essential features without […]
The Drumbeat of Releases Continues… Notebook Assistant Chat inside Any Notebook Bring Us Your Gigabytes! Introducing Tabular Manipulating Data in Tabular Getting Data into Tabular Cleaning Data for Tabular The Structure of Tabular Tabular Everywhere Algebra with Symbolic Arrays Language Tune-Ups Brightening Our Colors; Spiffing Up for 2025 LLM Streamlining & Streaming Streamlining Parallel Computation: […]
Related writings: “Logic, Explainability and the Future of Understanding” (2018) » “The Physicalization of Metamathematics and Its Implications for the Foundations of Mathematics” (2022) » “Computational Knowledge and the Future of Pure Mathematics” (2014) » The Simplest Axiom for Logic Theorem (Wolfram with Mathematica, 2000): The single axiom ((a•b)•c)•(a•((a•c)•a))c is a complete axiom system for Boolean algebra (and […]
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The FDA should do something similar for humans
Regulations are a classic example of a proverbial double-edged sword. They are essential to create and maintain a free and fair market, to prevent exploitation, and to promote safety and the public interest. Just look at 19th century America for countless examples of what happens without proper regulations (child labor, cities ablaze, patent medicines, and […] The post Transgene-Free Gene Editing in Plants first appeared on NeuroLogica Blog.
Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. The post Improving Deep Learning With a Little Help From Physics first appeared on Quanta Magazine