AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...
Healio

FDA efforts to reduce animal testing signal shift toward AI, organ-on-chip study methods

In April 2025, the FDA announced plans to shift biomedical research for monoclonal antibodies and other medications away from ...

Study maps four flood model types and urges hybrid approaches to improve forecasts

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced ...
EurekAlert!

Improving AI models’ ability to explain their predictions

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...
ascopubs.org

Prompt Engineering for Eastern Cooperative Oncology Group Status Extraction: Comparing Large Language Model Techniques

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model Both CoT and double filtering technique (DFT) achieved 94% accuracy, ...
IEEE

Physics and Data Cooperative Modeling in Transportation Cyber-Physical System: Review and Perspectives

Abstract: This research provides a comprehensive examination of hybrid modeling approaches that integrate physics-based and data-driven methods across three transportation sectors: automotive, ...
IEEE

Techniques for Uncertainty Modeling and Data Fusion for High-Precision Installation of Large Insertion Device in the Particle Accelerators

Abstract: With the increasing demands for installation accuracy in particle accelerators, accurately evaluating uncertainty throughout the complete installation chain has become a critical engineering ...
C&EN

Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis

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