New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

In a paper titled Artificial Superintelligence May Be Useless: Equilibria in the Economy of Multiple AI Agents, a team of researchers state that equilibrium outcomes in multi-agent economies may ...

Purpose: The urban reading spaces in Beijing serve as a pivotal component in transforming public libraries and promoting ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

California’s plan to hit its richest residents with a one-off wealth tax is a long shot, and its design has problems. But a look at who picks up the tab when billionaires scrimp on taxes, and how ...

Greetings, and welcome to the Tecogen Fiscal Year 2025 Conference Call. [Operator Instructions] As a reminder, this conference is being recorded. It's now my pleasure to turn the call over to Jack ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

A record-breaking snow drought has residents worried about much more than slushy slopes. By Sachi Kitajima Mulkey and Nina Riggio The $5 billion project in the Gulf of Mexico is expected to help ...