Nature

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...
Nature

Machine learning for microwave optimization using simplex surrogates, dual-resolution computational models and local tuning with sparse sensitivity updates

Numerical optimization procedures are now an integral part of the microwave design process. Ensuring reliability requires conducting parameter tuning at the electromagnetic (EM) analysis level. This, ...
Rochester Institute of Technology

OLA'2024 International Conference on Optimization & Learning

The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Opinion
theheraldghana.com on MSNOpinion

Politics, machine learning, clean energy and the future of Africa’s economic emancipation

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...