This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

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 ...

Dozens of Telegram channels reviewed by WIRED include job listings for “AI face models.” The (mostly) women who land these ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Build flexible Excel functions that automatically handle blanks, defaults, and overrides without messy nested IFs.

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 ...