Fire & Emergency Services
Cairngorms wildfire burns for third day across nearly four miles
Firefighters are spending a third day tackling a major wildfire which has led to evacuations in the Cairngorms. The blaze started in heathland at Ryvoan Bothy, near Nethy Bridge, late on Wednesday morning and had spread across 3.7 miles (6km) by Thursday afternoon. A number of homes and businesses, including campsites and a ski resort in the Glenmore Forest Park area have been closed and evacuated as a safety precaution. A helicopter joined the firefighting efforts on Thursday night. Nine fire appliances and specialist resources remained at the scene on Friday morning.
More than 100 firefighters respond to east London fire
Around 100 firefighters have been called to a fire affecting a house, gardens, sheds and a railway embankment in Walthamstow, east London. London Fire Brigade (LFB) said two rest centres had been set up locally for impacted residents. It said it received the first of more than 100 calls to the incident near Vallentin Road and Shernhall Street just before 18:30 BST, with 20 fire engines and around 125 firefighters in attendance. In an update at about 21:00, LFB said the cause of the fire was currently unknown but crews have been working hard to extinguish the fire as swiftly as possible. The fire brigade has advised people in the area to keep their windows and doors closed due to the significant amount of smoke produced by the fire.
Major incident declared in Wales as firefighters tackle wildfires across UK
A large-scale wildfire in north Wales as been declared a major incident by emergency services, as firefighters tackle fires across England and Wales during the record-breaking heatwave. Residents near Conwy Mountain and the Sychnant Pass have been evacuated, while members of the public were warned to avoid the area. In Greater Manchester, fire crews are working to contain a moorland fire near a reservoir, while in Camberley, Hampshire, crews are extinguishing a large heathland fire. Wildfires burned in County Durham, Derbyshire, East Sussex, West Sussex, Devon and Somerset over the weekend, during a warning that parts of the country were facing an exceptional risk for fires. North Wales Fire and Rescue Service said in an update on Sunday afternoon that it was working in challenging conditions in order to contain the Conwy Mountain fire, with operations expected to continue for some time.
Badly burned British couple rescued from ravine during Spain wildfires, reports say
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.
DetectiumFire: AComprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
Recent advances in multi-modal models have demonstrated strong performance in tasks such as image generation and reasoning. However, applying these models to the fire domain remains challenging due to the lack of publicly available datasets with high-quality fire domain annotations. To address this gap, we introduce DetectiumFire, a large-scale, multi-modal dataset comprising of 22.5k high-resolution fire-related images and 2.5k real-world fire-related videos covering a wide range of fire types, environments, and risk levels. The data are annotated with both traditional computer vision labels (e.g., bounding boxes) and detailed textual prompts describing the scene, enabling applications such as synthetic data generation and fire risk reasoning. DetectiumFire offers clear advantages over existing benchmarks in scale, diversity, and data quality, significantly reducing redundancy and enhancing coverage of real-world scenarios. We validate the utility of DetectiumFire across multiple tasks, including object detection, diffusion-based image generation, and vision-language reasoning. Our results highlight the potential of this dataset to advance fire-related research and support the development of intelligent safety systems. We release DetectiumFire to promote broader exploration of fire understanding in the AI community.
Fire360: ABenchmark for Robust Perception and Episodic Memory in Degraded 360 Firefighting Video
Modern AI systems struggle most in environments where reliability is criticalscenes with smoke, poor visibility, and structural deformation. Each year, tens of thousands of firefighters are injured on duty, often due to breakdowns in situational perception [35]. We introduce Fire360, a benchmark for evaluating perception and reasoning in safety-critical firefighting scenarios. The dataset includes 228 360 videos from professional training sessions under diverse conditions (e.g., low light, thermal distortion), annotated with action segments, object locations, and degradation metadata. Fire360 supports five tasks: Visual Question Answering, Temporal Action Captioning, Object Localization, Safety-Critical Reasoning, and Transformed Object Retrieval (TOR). TOR tests whether models can match pristine exemplars to fire-damaged counterparts in unpaired scenes, evaluating episodic memory under irreversible visual transformations. While human experts achieve 83.5% on TOR, models like GPT-4o lag significantly, exposing failures in reasoning under degradation. By releasing Fire360 and its evaluation suite, we aim to advance models that not only see, but also remember, reason, and act under uncertainty.
Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360 Firefighting Video
Modern AI systems struggle most in environments where reliability is critical - scenes with smoke, poor visibility, and structural deformation. Each year, tens of thousands of firefighters are injured on duty, often due to breakdowns in situational perception. We introduce Fire360, a benchmark for evaluating perception and reasoning in safety-critical firefighting scenarios. The dataset includes 228 360 videos from professional training sessions under diverse conditions (e.g., low light, thermal distortion), annotated with action segments, object locations, and degradation metadata. Fire360 supports five tasks: Visual Question Answering, Temporal Action Captioning, Object Localization, Safety-Critical Reasoning, and Transformed Object Retrieval (TOR). TOR tests whether models can match pristine exemplars to fire-damaged counterparts in unpaired scenes, evaluating episodic memory under irreversible visual transformations. While human experts achieve 83.5% on TOR, models like GPT-4o lag significantly, exposing failures in reasoning under degradation. By releasing Fire360 and its evaluation suite, we aim to advance models that not only see, but also remember, reason, and act under uncertainty.
Trial begins for man accused of sparking Palisades Fire in California
Federal prosecutors in the United States have accused 29-year-old Jonathan Rinderknecht of deliberately starting the Palisades Fire, which grew into one of the most destructive in the history of Los Angeles, California. Opening statements were presented on Wednesday in Rinderknecht's federal trial, where he stands accused of destroying property by means of fire, committing arson affecting interstate commerce, and lighting timber aflame. While prosecutors portrayed him as an arsonist who premeditated his crime, defence lawyers argued there was no proof that he had ignited the blazes. If anything, they said, Rinderknecht had tried to stop them. "When all the evidence is in, there will be one thing missing: proof that Jonathan Rinderknecht started that fire on January 1," lawyer Steve Haney told jurors.
Emergency First Responders Say Waymos Are Getting Worse
"I believe the technology was deployed too quickly in too vast amounts, with hundreds of vehicles, when it wasn't really ready," one police official told federal regulators last month. Emergency first-responder leaders told federal regulators in a private meeting last month that they were frustrated with the performance of autonomous vehicles on their streets--that city firefighters, police officers, EMTs, and paramedics are forced to spend time during emergencies resolving issues with frozen or stuck cars. One fire official called them "a safety issue for our crews as well as the victims." WIRED obtained an audio recording of the meeting. Officials from San Francisco and Austin, where Waymo has been ferrying passengers without drivers for more than a year, said the vehicles' performance is getting worse.