Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based ...
The Uttarakhand Board has released the Class 12 Maths Syllabus 2025-26. The exam will be conducted for 3 hours with a total ...
Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
So a few words about BioNTech. We are a clinical -- late-stage clinical company with multiple programs in oncology, which is our core focus, but we have also both pipeline in infectious diseases, ...
We also prove that the two sets of Maxwell equations only depend on the non-linear elations of the conformal group of ...
Abstract: Deep neural networks (DNNs) have been applied to address electromagnetic inverse scattering problems (ISPs) and shown superior imaging performances, which can be affected by the training ...
Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
This repository contains the code for the paper "Solving Inverse Physics Problems with Score Matching" by Benjamin Holzschuh, Simona Vegetti, and Nils Thuerey. The paper can be found here. Our works ...
AI systems are already beginning to help with research that only a handful of humans understand in the first place. In a ...
In this tutorial, we will demonstrate how to perform posterior inference using Hamiltonian Monte Carlo (HMC) in Bayesian Physics-Informed Neural Networks (PINNs). By using the Jax library, we will ...
Axiom Math, which has recruited top talent from Meta, has raised $64 million in seed funding to build an AI math whiz.
It’s called mental inversion, and here’s how it works. Thinking forward is an automatic process. Cause, then effect. Input, then output. A to B. It feels logical—and normal to start with a conclusion, ...
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