This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Stride offers alternative K-12 and career-focused online education, targeting enrollment growth as its main revenue driver. Read more on LRN stock here.

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) ...

Abstract: Task assignment in a dynamic and uncertain environment for a team of robots is indeed a challenging problem. Traditional task assignment techniques have often struggled to effectively manage ...

Housing prices across much of America have hit historic highs, while less housing is being built. If the U.S. housing stock had expanded at the same rate from 2000-2020 as it did from 1980-2000, there ...

This study is Pew Research Center’s latest effort to explore the landscape of teens and technology today. It focuses on artificial intelligence – from how teens use chatbots to how they think about AI ...