Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?
Leaders often struggle to assess whether their employees are using AI successfully. Often, they default to measuring what’s easily observable: how much they’re using AI tools. To get a clearer picture ...
Abstract: Technological advancements occur rapidly from year to year. Currently, we experience the benefits of this rapid technological development, including the widespread use of smartphones in our ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
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 ...
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 ...
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 ...
The electrooxidation of glycerol offers a promising pathway for energy transition and biomass valorization, making it a key area of research. This study employs machine learning (ML) to predict the ...
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