EurekAlert!

Bayesian neural network evaluation method on the neutron-induced fission product yields of Thorium-232

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Study Finds

Your Bank Account Shapes Your Democratic Values Better Than Your Political Identity

New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...
ExecutiveGov

Army Launches New AI, Machine Learning Officer Career Track

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.
United States Army

Army establishes new AI, machine learning career path for officers

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

1 Minutia.AI Pte. Ltd., Singapore, Singapore 2 Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy A representation of the cause-effect mechanism is ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
C&EN

Combining Bayesian Optimization, Singular Value Decomposition, and Machine Learning for Advanced Optical Design

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...