Making sense of a chaotic planet: How understanding weather, climate risks depends on supercomputers like NCAR's

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...
Healio

Large language model spots thrombolysis contraindications in electronic health records

A large language model delivered high sensitivity and specificity in analyzing electronic health records of patients for ...
Scientific Research Publishing

A Strategic Analysis of Nigeria’s Hedging Strategy in the Context of U.S.-China Rivalry ()

Blessing, E. (2026) A Strategic Analysis of Nigeria’s Hedging Strategy in the Context of U.S.-China Rivalry. Open Journal of Business and Management, 14, 884-900. doi: 10.4236/ojbm.2026.142051 .
Semiconductor Engineering

Variable Bias Completes The PLDC Model And Offers Superior MPC Results

This is the third in a three-blog series on PLDC. The first installment was “Improving Uniformity and Linearity for All Masks,” from January 29, 2025. The second blog was “Three Ways Curvy ILT ...
Searchenginejournal.com

New AI Models Make More Mistakes, Creating Risk for Marketers

Newer AI tools are less accurate than older versions. Test show error rates as high as 79%. AI accuracy is declining due to changes in training methods. New AI ...
GitHub

Joy_caption2 报错 cannot access local variable 'text_model' where it is not associated with a value

CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths... The following directories listed in your path were found to be non ...
IEEE

Total Least Squares Algorithm for Errors-in-Variables Systems: Iterative Algorithm or Two-Step Algorithm

Abstract: The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the ...
Oak Ridge National Lab

A novel conditional generative model for efficient ensemble forecasts of state variables in large-scale geological carbon storage

Integrating monitoring data to efficiently update reservoir pressure and CO2 plume distribution forecasts presents a significant challenge in geological carbon storage (GCS) applications. Inverse ...