Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

RadShield Model Comparison This repository contains the Python workflow used to compare Bayesian optimization strategies for multilayer radiation shield design using a Geant4-based simulation. The ...

Abstract: Bayesian optimization (BO), a data-efficient method for expensive black-box optimization, has traditionally focused on single-task scenarios, ignoring potential correlations among related ...

Abstract: In many applications, ranging from logistics to engineering, a designer is faced with a sequence of optimization tasks for which the objectives are in the form of black-box functions that ...