AI-Powered Project Aims to Untangle How Wildfire Smoke Reshapes Marine Clouds
A $1 million NSF-funded Washington University team will use physics-informed generative AI and causal statistics to isolate how wildfire-smoke aerosols ...
A $1 million NSF-funded Washington University team will use physics-informed generative AI and causal statistics to isolate how wildfire-smoke aerosols ...
Researchers combined positive-unlabeled learning, spatial block cross-validation, bootstrap uncertainty, and conformal calibration to produce a confidence-aware nickel prospectivity map of ...
An ensemble machine learning study combining six algorithms and four CMIP6 climate models projects that licorice habitat in Iran will ...
Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...
A large-scale study argues that machine learning performance should be reported as distributions with confidence intervals on quantiles rather than ...
Virginia Tech will lead a $9.26 million NIH-funded, multi-institutional project using mathematical modeling, machine learning, and uncertainty quantification to predict ...
Researchers show that conformal prediction set sizes and miscoverage changes can distinguish label noise from covariate shift in deployed classifiers ...
Researchers used Bayesian optimization with Gaussian process surrogate modeling to design microfluidic deterministic lateral displacement chips that separate circulating tumor ...
A new study of 67 explosive events over 150 years at Stromboli quantifies the distances, directions, and areas affected by ...
Researchers have developed MESMER-RCM, a probabilistic emulator that generates large ensembles of plausible regional climate model outputs at a fraction ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine