Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...

To develop new and better peptides, the short amino acid strings behind medicines like GLP-1 drugs, researchers have used AI ...

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...

Abstract: Because of the recent exponential rise in attack frequency and sophistication, the proliferation of smart things has created significant cybersecurity challenges. Even though the tremendous ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Researchers use machine learning and satellite data to harvest mountain fog, offering a low-cost, climate-resilient water ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been deployed and tested in operational use at the National Meteorological Center ...

AdaBoost.R2 regression is a machine learning technique used to predict a single numeric value. AdaBoost.R2 builds a sequence of decision tree regressors where each accepted tree improves prediction ...

Abstract: Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models. This paper ...

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...