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, ...
Nature

Machine learning-based fracturing parameter optimization for horizontal wells in Panke field shale oil

In recent years, unconventional resources have received increasing attention due to the continuous demand for fossil fuels. The success of multistage fractured horizontal wells (MFHW) has unlocked ...
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 ...