AMHERST, Mass. – Applied mathematicians Markos Katsoulakis and Luc Rey-Bellet of the University of Massachusetts Amherst will share a three-year, $2.3 million grant from the U.S. Department of Energy, ...
A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work. Pollsters trying to predict presidential election results ...
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A better method for identifying overconfident large language models
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The newest journal from the Society for Industrial and Applied Mathematics, SIAM/ASA Journal on Uncertainty Quantification (JUQ), launched today with its first seven papers publishing online to Volume ...
Glioblastomas, lethal primary brain tumors, are known for their heterogeneity and invasiveness. A growing body of literature has been developed demonstrating the clinical relevance of a ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
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