Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...

In this Subtext subscriber Q&A–driven episode of the Wine and Gold Talk podcast, Ethan Sands and Chris Fedor dig into the ...

A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...

Those with AI skills are said to make more, but how much more? Also, how have our actual experts been using AI in their own ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. David Kindness is a Certified Public Accountant (CPA) and an expert in the ...

After a 12-day crossing, and a hard slog through sea ice, the field work on this Antarctic expedition is ready to start. By Raymond Zhong Democrats demanded information from seven top U.S. oil ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Robert Kelly is managing director of ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...