Delhi Technological University, in collaboration with TimesPro, launches an Advanced Certificate Programme in Artificial Intelligence. The six-month course combines online learning, campus immersion, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

BHP Group upgraded its annual copper-production guidance amid record-high prices for the industrial metal, but announced another cost overrun on its giant potash project in Canada. BHP, the world's ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

With economic uncertainty and a construction industry largely propped up by a few key sectors, the used equipment market has shown a softening of prices in recent months expected to continue into the ...

Have you ever wondered why manhole covers are round instead of square? Or who invented the steamroller? Or why giant steel coils are transported on their sides instead of flat? Sure, you can do a ...

Insights that answer the business questions above based on data analysis conducted. A predictive model that can classify individuals into two categories: depressed (label 1) and not depressed (label 0 ...

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

On September 7, Russia carried out a massive drone attack on Ukraine’s capital, Kyiv, killing four people and injuring 40. The Associated Press reported that it was the largest aerial attack since the ...

Abstract: Heart attacks are a prominent source of morbidity and mortality globally, demanding the development of precise and efficient predictive models for early identification and risk ...