World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

Matt Korda, the associate director of the Nuclear Information Project at the Federation of American Scientists, assisted USA ...

Accenture is bringing over 400 AI specialists into its ranks and adding Faculty's CEO as its new chief technology officer.

Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results with VPython. Learn ...

Abstract: In this study, a SiC MOSFET circuit simulation model capable of predicting ultrahigh-temperature operation, including short-circuit conditions, was developed. A fundamental structure ...