Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
IEEE

Solution Based on GUM to Solve the Curse of Dimensionality in Uncertainty Quantification: A Fresh Perspective

Abstract: Uncertainty quantification (UQ) is essential across various scientific and engineering disciplines, including computational electromagnetics (CEM). While commonly used techniques such as ...
IEEE

FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting

Abstract: Uncertainty quantification in spatiotemporal forecasting is crucial for decision-making. Quantile regression has been proposed as a computationally efficient and assumption-free approach for ...
EurekAlert!

A LLM-enhanced few-shot entity resolution framework with uncertainty calibration

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a ...
The Manila Times

IMDX Supports AST and ASHI STAR Working Group’s Call for Decentralized Transplant Monitoring

American Journal of Transplantation position paper also highlights value of absolute quantification of dd-cfDNA as a ...
BioSpace

Nomic Publishes Foundational Protein Quantification Technology in Nature Methods

The company highlights how its technology powers large-scale proteomic perturbation studies, unveiling Perturb-PBMC, a 1.4 million–protein PBMC dataset available in the Nomic Portal ...
Business Wire

Nomic Publishes Foundational Protein Quantification Technology in Nature Methods

MONTREAL--(BUSINESS WIRE)--Nomic Bio (“Nomic”) today announced publication of its core nELISA® technology in Nature Methods, detailing a high‑throughput, high‑plex immunoassay platform that side-steps ...
Frontiers

Multimodal AI-driven object detection with uncertainty quantification for cardiovascular risk assessment in autistic patients

1 East China University of Political Science and Law, Shanghai, China 2 Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China Introduction: Artificial Intelligence ...
GitHub

Uncertainty Quantification for Deep Learning in Sleep Apnea Detection

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...