Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond efficiency gains. Machine learning classifiers have confirmed hundreds of ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

Chris is a Senior News Writer for Collider. He can be found in an IMAX screen, with his eyes watering and his ears bleeding for his own pleasure. He joined the news team in 2022 and accidentally fell ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...