Brief

Researchers have developed a new framework called IDEAL (Intelligent Dual dispatch of Emergency AmbuLances) to optimize ambulance dispatching. This system addresses the challenge of dynamic travel times and limited fleet capacity by selectively dispatching a second ambulance only when the predicted travel time difference between primary and secondary routes exceeds a set threshold. IDEAL utilizes a weakly supervised bilevel representation network to learn context-specific travel times from historical data and models uncertainty through Burg-divergence perturbations. The framework was evaluated in collaboration with the Hong Kong Fire Services Department, demonstrating improved response-time and resource trade-offs compared to existing methods. AI

Hong Kong's fire services department has extended an operation focused on fire safety in older buildings by two years. This initiative, which has already led to 75 prosecutions, will now target an additional 5,000 buildings. The checks will prioritize residential buildings undergoing renovations or covered in scaffolding, as well as those with existing fire alarm and hose reel systems. AI