Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

An enigmatic feature of frozen soils can be explained in part by non-Newtonian fluid physics. Enter the Oobleck.

Working with IBM Quantum, BITS scientists simulated the behaviour of subatomic particles on 120 qubits of an IBM processor; in a first for Indian labs, the Quantum Advantage Tracker has deemed the ...

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

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 ...

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 ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

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 ...