Zelensky declares state of emergency in Ukraine's energy sector Ukraine has declared a state of emergency in the country's energy sector, with particular focus on Kyiv, as ongoing Russian strikes continue to leave thousands of residents without power. The nation is in the midst of a particularly cold winter, with overnight temperatures in Kyiv dropping to around -20C. After a special cabinet meeting, President Volodymyr Zelensky said a round-the-clock task force would be set up to deal with the damaging consequences of Russian airstrikes and worsening weather conditions. He accused Moscow of deliberately exploiting the harsh, sub-zero temperatures to target critical infrastructure, including energy distribution facilities. In recent weeks, Kyiv has been particularly affected by Russian attacks, leaving thousands of homes without regular power, heating or running water.

By taking a tiny snippet of real audio - just three seconds is enough - from a person, fraudsters can'clone' the individual's voice using freely available AI tools. By taking a tiny snippet of real audio - just three seconds is enough - from a person, fraudsters can'clone' the individual's voice using freely available AI tools. It's an emergency': your child's voicemail that could be a scam Steps to help combat fraud in which criminals use AI-generated replica of a person's voice to deceive victims T he voicemail from your son is alarming. He has just been in a car accident and is highly stressed. He needs money urgently, although it is not clear why, and he gives you some bank details for a transfer.

Sexual activity in young people is on the decline, but why? And what's more, should we be worried about what this means for society and the future of the human race? The comedy film was released in 1973 with a largely youthful cast and one too many double entendres. Half a century later, that title seems more apt than ever, at least among the younger members of society. Over the past few decades, sex appears to have been on the decline among teenagers and young adults - but it's not just happening in Britain . In the US in 2010, 12 per cent of 18 to 29-year-olds reported not having had sex in the past year, according to the General Social Survey, a long-running sociological survey.

Abstract--Autonomous V ehicles (A Vs) are poised to revolutionize emergency services by enabling faster, safer, and more efficient responses. This transformation is driven by advances in Artificial Intelligence (AI), particularly Reinforcement Learning (RL), which allows A Vs to navigate complex environments and make critical decisions in real time. However, conventional RL paradigms often suffer from poor sample efficiency and lack adaptability in dynamic emergency scenarios. This paper reviews next-generation A V optimization strategies to address these limitations. We analyze the shift from conventional RL to Diffusion Model (DM)-augmented RL, which enhances policy robustness through synthetic data generation, albeit with increased computational cost. Additionally, we explore the emerging paradigm of Large Language Model (LLM)-assisted In-Context Learning (ICL), which offers a lightweight and interpretable alternative by enabling rapid, on-the-fly adaptation without retraining. By reviewing the state of the art in A V intelligence, DM-augmented RL, and LLM-assisted ICL, this paper provides a critical framework for understanding the next generation of autonomous emergency response systems from a Generative AI perspective. Autonomous vehicles (A Vs) are poised to transform emergency services by enabling faster, safer, and more intelligent responses. Uncrewed Aerial V ehicles (UA Vs), as key enablers within the A V ecosystem, provide rapid deployment and precise mobility. They can serve as both aerial base stations and data collectors, enhancing connectivity and information gathering for A V operations.

In emergency situations, every second counts. The deployment of Large Language Models (LLMs) in time-sensitive, low or zero-connectivity environments remains limited. Current models are computationally intensive and unsuitable for low-tier devices often used by first responders or civilians. A major barrier to developing lightweight, domain-specific solutions is the lack of high-quality datasets tailored to first aid and emergency response. To address this gap, we introduce FirstAidQA, a synthetic dataset containing 5,500 high-quality question answer pairs that encompass a wide range of first aid and emergency response scenarios. The dataset was generated using a Large Language Model, ChatGPT-4o-mini, with prompt-based in-context learning, using texts from the Vital First Aid Book (2019). We applied preprocessing steps such as text cleaning, contextual chunking, and filtering, followed by human validation to ensure accuracy, safety, and practical relevance of the QA pairs. FirstAidQA is designed to support instruction-tuning and fine-tuning of LLMs and Small Language Models (SLMs), enabling faster, more reliable, and offline-capable systems for emergency settings. We publicly release the dataset to advance research on safety-critical and resource-constrained AI applications in first aid and emergency response. The dataset is available on Hugging Face at https://huggingface.co/datasets/i-am-mushfiq/FirstAidQA.

Is Trump losing patience with Putin? Will sanctions against Russian oil giants hurt Putin? How much of Europe's oil still comes from Russia? Europe lacks coordination as Russia'prepares for war with NATO': Experts Europe is unprepared to counteract a new chapter of Russian military and intelligence activities in the Baltic and North Seas, experts have told Al Jazeera. At the same time, they said, a growing rift between European and United States intelligence services is leaving the continent unsupported.

What Should Be in Your Emergency Kit Before Disaster Strikes? We consulted preparedness experts and WIRED's team of testers on the essential bug-out gear to keep your family safe during an unplanned exit. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. You never know when you're going to have to bug out on short notice.

That's Harder Than It Sounds Proposed regulations in China would mean the end of flush handles on car doors, with precious little time to roll out the changes. Car door handles seem innocuous. Tesla's electronic, retractable ones--since imitated by plenty of global automakers--have become a symbol of the automaker's willingness to work from design-first principles, reimagining what the car of the future might look like, electric-style. But in September, the National Highway Traffic Safety Administration launched an investigation into the Tesla 2021 Model Y's door handles. More than 140 consumers have complained to the National Highway Traffic Safety Administration (NHTSA) about the door handles, according to a Bloomberg report published last month.

Technology Internet Japan's favorite beer is in peril Asahi Super Dry's manufacturer is suffering from a major cyberattack. Breakthroughs, discoveries, and DIY tips sent every weekday. Japan is facing a serious beer crisis. The emergency began on Monday, September 29 when the makers of the country's most popular brew Asahi Super Dry announced it had suffered a massive cyberattack resulting in a nationwide "system failure." The immediate fallout included a temporary shutdown of nearly all of Asahi Group's 30 domestic breweries, as well a pause in ordering and shipping across Japan.

-- Autonomous vehicles require reliable hazard detection. However, primary sensor systems may miss near-field obstacles, resulting in safety risks. Although a dedicated fast-reacting near-field monitoring system can mitigate this, it typically suffers from false positives. T o mitigate these, in this paper, we introduce three monitoring strategies based on dynamic spatial properties, relevant object sizes, and motion-aware prediction. In experiments in a validated simulation, we compare the initial monitoring strategy against the proposed improvements. The results demonstrate that the proposed strategies can significantly improve the reliability of near-field monitoring systems. Advanced Driver Assistance Systems (ADASs) are rapidly advancing toward improved automation and safety in transportation; however, ensuring robust and reliable safety of self-driving vehicles remains a critical challenge. While Autonomous Emergency Braking Systems (AEBSs) have demonstrated potential in reducing collision risks, these systems often rely on the same sensor setup as the high-level driving system, which can miss hazards outside the sensors' Field-of-View (FOV). Especially in complex urban environments, such blind spots underscore the need for dedicated near-field monitoring systems as an additional safety layer.