Priya Hays, Hays Documentation Specialists, LLC, discusses biomarker discovery through artificial intelligence and ...
Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
The most effective forms of control do not feel like control at all. They feel like a recommendation. On social media ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
Their findings demonstrate that although spurious correlations—a simple example of which is when a machine-learning system, not having "seen" many cows pictured at the beach, classifies a photo of a ...
This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...
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