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 ...

We present DarkAgents: a multi-agent system that leverages the reasoning and code-generation capabilities of large language models (LLMs), together with deterministic tested human-written code, to ...

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.

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python program that generates the correct experimental setup for arbitrary system ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Dive into Python Physics Lesson 23 and discover what happens when approximations fail in dipole electric fields. In this lesson, we explore the limitations of common approximation methods in physics ...