CAL FIRE tested autonomous firefighting drones from Seneca designed for early fire suppression. XPRIZE Wildfire finalists also demonstrated AI wildfire detection systems in Alaska.

Fires across England and Wales have prompted a national government alert warning people not to light anything that could spark a wildfire. The warning on Friday evening came as it was revealed 19 homes were destroyed and a further 18 damaged in a huge fire in Stourbridge, West Midlands, that spread rapidly through grass and woodland on Thursday before damaging homes. Prime Minister Andy Burnham told members of the public to take the warning seriously, adding it was triggered at the request of firefighters. West Midlands Fire Service chief fire officer Simon Tuhill said the Stourbridge blaze was one of the most significant incidents the service had ever dealt with. It was one of several fires being dealt with across England and Wales on Friday.

To play this video you need to enable JavaScript in your browser. A child and three firefighters were among those taken to hospital as several fires raged across the West Midlands, destroying homes and forcing dozens of residents to evacuate from their houses. As the UK recorded its hottest day of the year, fire services in the region said they experienced extreme levels of demand on Thursday. A huge blaze near Stourbridge Golf Course saw about 100 firefighters battling the fire which spread rapidly through dry grass and woodland, setting alight six homes. Elsewhere in the region four homes were destroyed by fire in Stoke-on-Trent, a woman was seriously injured in a blaze in Castle Vale, Birmingham, and a major incident was declared because of a fire in Warwickshire.

A British couple have been found down a ravine, badly burned and semi-conscious, after being caught up in the deadly wildfires that tore through Spain's Almeria province, according to local media. The pair are thought to have been out hiking when they were caught up in the blaze, which spread rapidly through the province on Thursday. They were evacuated and taken to hospital where they are in intensive care. Hundreds of firefighters have been battling the fires, which have claimed the lives of 12 people, including four believed to be Britons, and burned through 6,600 hectares (16,300 acres), local authorities said. The identities of those killed have not yet been officially confirmed.

Despite significant progress on multi-agent reinforcement learning (MARL) in recent years, coordination in complex domains remains a challenge. Work in MARL often focuses on solving tasks where agents interact with all other agents and entities in the environment; however, we observe that real-world tasks are often composed of several isolated instances of local agent interactions (subtasks), and each agent can meaningfully focus on one subtask to the exclusion of all else in the environment. In these composite tasks, successful policies can often be decomposed into two levels of decision-making: agents are allocated to specific subtasks and each agent acts productively towards their assigned subtask alone. This decomposed decision making provides a strong structural inductive bias, significantly reduces agent observation spaces, and encourages subtask-specific policies to be reused and composed during training, as opposed to treating each new composition of subtasks as unique. We introduce ALMA, a general learning method for taking advantage of these structured tasks. ALMA simultaneously learns a high-level subtask allocation policy and low-level agent policies. We demonstrate that ALMA learns sophisticated coordination behavior in a number of challenging environments, outperforming strong baselines. ALMA's modularity also enables it to better generalize to new environment configurations. Finally, we find that while ALMA can integrate separately trained allocation and action policies, the best performance is obtained only by training all components jointly.

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The tank-like vehicle is already being tested in South Korea. The robot sprays itself with water to stay cool and uses thermal cameras to see through smoke. Breakthroughs, discoveries, and DIY tips sent six days a week. Firefighters in South Korea will soon start deploying alongside a massive, six-wheeled, self-cooling autonomous robot that could help keep them safe. Hyundai recently revealed the new, driverless ground drone, built atop a chassis initially intended for military use and looking like something out of a sci-fi film.

It has been described as Germany's most spectacular bank heist in years. On a quiet weekend just after Christmas, a group of thieves broke into a High Street bank in the western town of Gelsenkirchen, by boring through a wall with an industrial drill. They looted more than 3,000 safe deposit boxes and made off with millions of euros. Over a month later, police have yet to make an arrest. For the bank's clients, some of whom say they have lost their life savings and precious family jewellery and valuables, this is a time of anger, confusion and shock.

Things to Do in L.A. Tap to enable a layout that focuses on the article. New LAFD chief won't look into who watered down Palisades fire report Deputy Chief Jaime Moore fields questions from city council members before being confirmed as the new LAFD chief after a unanimous vote by the L.A. City Council on Nov. 14. This is read by an automated voice. Please report any issues or inconsistencies here . LAFD Chief Jaime Moore said he is taking a forward-looking approach and not seeking to assign blame for changes to the report.

Drone fleets equipped with onboard cameras, computer vision, and Deep Neural Network (DNN) models present a powerful paradigm for real-time spatio-temporal decision-making. In wildfire response, such drones play a pivotal role in monitoring fire dynamics, supporting firefighter coordination, and facilitating safe evacuation. In this paper, we introduce AeroResQ, an edge-accelerated UAV framework designed for scalable, resilient, and collaborative escape route planning during wildfire scenarios. AeroResQ adopts a multi-layer orchestration architecture comprising service drones (SDs) and coordinator drones (CDs), each performing specialized roles. SDs survey fire-affected areas, detect stranded individuals using onboard edge accelerators running fire detection and human pose identification DNN models, and issue requests for assistance. CDs, equipped with lightweight data stores such as Apache IoTDB, dynamically generate optimal ground escape routes and monitor firefighter movements along these routes. The framework proposes a collaborative path-planning approach based on a weighted A* search algorithm, where CDs compute context-aware escape paths. AeroResQ further incorporates intelligent load-balancing and resilience mechanisms: CD failures trigger automated data redistribution across IoTDB replicas, while SD failures initiate geo-fenced re-partitioning and reassignment of spatial workloads to operational SDs. We evaluate AeroResQ using realistic wildfire emulated setup modeled on recent Southern California wildfires. Experimental results demonstrate that AeroResQ achieves a nominal end-to-end latency of <=500ms, much below the 2s request interval, while maintaining over 98% successful task reassignment and completion, underscoring its feasibility for real-time, on-field deployment in emergency response and firefighter safety operations.