Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...

More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, physicists are finding that those same equations describe how nature behaves ...

Artificial intelligence startup BeyondMath Ltd. said today it has raised $8.5 million in a seed funding round to train its foundational large language models on physics equations, as part of its ...

Maxwell’s equations of electromagnetism and the Euler equation top a poll to find the greatest equations of all time. Robert P Crease discusses the results of his reader survey First among equals – ...

Forbes contributors publish independent expert analyses and insights. The Universe is out there, waiting for you to discover it. When it comes to describing the physical world, we can do it ...

David Norman reviews The Physics of Birds and Birding: the Sounds, Colors and Movements of Birds, and Our Tools for Watching Them by Michael Hurben The physics of (king)fishing When kingfishers dive ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...