stephen.wolfram

So… What Happened? Today is my birthday—for the 65th time. Five years ago, on my 60th birthday, I did a livestream where I talked about some of my plans. […]

The Mystery of Machine Learning It’s surprising how little is known about the foundations of machine learning. Yes, from an engineering point of view, an […]

For the 36th Time… the Latest from Our R&D Pipeline There’s Now a Unified Wolfram App Vector Databases and Semantic Search RAGs and Dynamic Prompting […]

My All-Time Favorite Science Discovery June 1, 1984—forty years ago today—is when it would be fair to say I made my all-time favorite science discovery. […]

The Model Why does biological evolution work? And, for that matter, why does machine learning work? Both are examples of adaptive processes that surprise us […]

See also: “Computing the Eclipse: Astronomy in the Wolfram Language” » Updated and expanded from a post for the eclipse of August 21, 2017. Preparing for […]

See also: “When Exactly Will the Eclipse Happen? A Multimillennium Tale of Computation” » Basic Eclipse Computation It’s taken millennia to get to the […]

Note: Click any diagram to get Wolfram Language code to reproduce it. Wolfram Language code for training the neural nets used here is also available (requires […]

Version 14.0 of Wolfram Language and Mathematica is available immediately both on the desktop and in the cloud. See also more detailed information on Version […]

The Concept of the Observer We call it perception. We call it measurement. We call it analysis. But in the end it’s about how we take the world as it is, and […]

The Importance of Multiway Systems It’s all about systems where there can in effect be many possible paths of history. In a typical standard computational […]

Transcript of a talk at TED AI on October 17, 2023, in San Francisco Human language. Mathematics. Logic. These are all ways to formalize the world. And in our […]