physics

Staying on top of a fast-growing research field is rarely easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). Latest papers, be they algorithmic advancements or cutting-edge applications, are published...

Previously we discussed applying reinforcement learning to Extraordinary Differential Equations (ODEs) by integrating ODEs inside gymnasium. ODEs are a strong tool that may describe a wide selection of systems but are limited to a...

https://www.youtube.com/watch?v=LQHlOdLP2_E Luma AI, which gained popularity last yr with its video creation artificial intelligence (AI) model called 'Dream Machine', has released its latest model. For the reason that launch of Sora, the features of 'consistency'...

Gwangju Institute of Science and Technology (GIST, President Lim Ki-cheol) announced on the seventeenth that it held the 'AI Convergence Physics System Workshop' at the educational conference 'ACM UbiComp 2024' held in Melbourne, Australia. This...

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the many distinguished recipients in each Physics and Chemistry. Geoffrey Hinton and John J. Hopfield received the Nobel Prize in...

Welcome, AI enthusiasts.Step aside, Sir Isaac… There is a recent Newton on the town, and this one is powered by AI. Archetype's recent model is learning physics from scratch — potentially breaking barriers in autonomous...

Working with ODEsPhysical systems can typically be modeled through differential equations, or equations including derivatives. Forces, hence Newton’s Laws, might be expressed as derivatives, as can Maxwell’s Equations, so differential equations can describe most...

When water freezes, it transitions from a liquid phase to a solid...