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How can we unravel the complex history of networks?

Futurum

Dr Min Xu, a statistician specialising in network analysis at Rutgers University, has developed a probabilistic model that can determine how a network has grown, which not only has applications in epidemiology, but is also useful in social science, genetics and counter-terrorism efforts. What is a network? “A

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Can AI Solve Science?

Stephen Wolfram

Perhaps even the architecture of the network can change. Probably it’s because neural nets capture the architectural essence of actual brains. Of course the details of artificial neural networks aren’t the same as biological brains. We know the ones that correspond to “known science”. Let’s look at a very simple case.

Science 122
educators

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Will AIs Take All Our Jobs and End Human History—or Not? Well, It’s Complicated…

Stephen Wolfram

But it also highlights how significant our specifics—our particular history, biology, etc.—are. There are things we “just want to do”—as a “social matter”, for “entertainment”, for “personal satisfaction”, etc. And in biology it shows up as some structure (ribosome, cell, wing, etc.) It’s very much like with ChatGPT.

Computer 105
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Remembering the Improbable Life of Ed Fredkin (1934–2023) and His World of Ideas and Stories

Stephen Wolfram

In 1956 McCarthy had been one of the organizers of the conference that coined the term “artificial intelligence”, and in 1958 McCarthy began the development of LISP (which was based on linked lists ). Ed remained friends with McCarthy for the rest of McCarthy’s life, and involved him in many of his endeavors.