Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

BY SEAN WILLIAMS, PhDSanta FeActually, I won’t use the term AI. It’s too broad: it can mean anything from zero-player tic-tac ...

Few innovators bridge computational astrophysics, enterprise-scale artificial intelligence, and quantum computing while ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Abstract: Deep learning has become a dominant force in artificial intelligence; however, its substantial energy consumption and associated carbon emissions have received relatively little attention.

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...