Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
Insurancenewsnet.com

Findings in Machine Learning Reported from City University of Hong Kong (Predictive Analysis for Healthcare Fraud Detection: Integration of Probabilistic Model and ...

2025 NOV 05 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, ...
CU Boulder News & Events

Seminar: Machine Learning-enhanced Predictive Modeling in Air Traffic Management - Mar. 6

Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging demand for air travel and ...
University of Surrey

A new theoretical framework for the unresolved resonance region

In this project, the student will work on probabilistic modelling and machine-learning techniques to advance the current description of nuclear reactions in specific energy regimes of astrophysical ...
Mena FN

Fast AI For Satellite Learns To Quantify Uncertainty

(MENAFN- EIN Presswire) EINPresswire/ -- Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...