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 ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

We’re accelerating quantum-safe readiness—and sharing what organizations can do now to transition earlier and with confidence ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

A large analysis suggests that a multivariable risk assessment tool, called Stockholm3, can detect substantially more ...