Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

This repository has been consolidated into model-runner. All future development, issues, and pull requests should be directed there. Please visit the new repository for the latest updates and to ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Explore the binomial tree model's use in option pricing, its workings, and examples. Learn how this model estimates intrinsic ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...

Abstract: Intelligent reflecting surface (IRS) has been considered a promising technology to be applied to mobile edge computing (MEC) systems, especially when offloading links are blocked or weak.

Kyle has written professionally across the motorsport and motoring world since graduating from Plymouth University in 2018, and has acted as the MotoGP editor for Motorsport Week and as a Features ...

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...