Of the known things in the universe, black holes are among the most extreme. They pack huge amounts of mass densely into a ...

Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...

A philosopher has put forward an argument for rethinking how particles are defined within the standard model of particle ...

Free interactive tool uses particle physics-inspired Burkeanomics to predict prosperity impacts from policies in the ...

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

Prestigious journal Nature has published a peer-reviewed critique of Microsoft's claims to have made quantum computing ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...

How is this possible? What wizardry enables a striker to change the ball’s trajectory after it leaves their foot? It’s not magic, it’s fluid dynamics, the behavior of objects in a fluid—and air is ...

Here we go again. Get used to it, folks. This is part of the new business model... has little to do with the model being somehow amazingly more powerful than whichever ones came immediately before it.

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...