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

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 ...

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

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

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

Bayesian optimization is gaining attention for streamlining material discovery. However, it is not a panacea for every practical situation. Balancing its use with genetic algorithms according to the ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...