Disaster response an'urgent issue,' says new land minister Land, Infrastructure, Transport and Tourism Minister Tatsunori Ibayashi answers questions during an interview in Tokyo's Chiyoda Ward on Wednesday. New Land, Infrastructure, Transport and Tourism Minister Tatsunori Ibayashi on Wednesday pledged to respond to heavy rain and other natural disasters with a sense of urgency. Disaster response is an "urgent issue," Ibayashi said in an interview with media organizations, adding that Prime Minister Sanae Takaichi has strongly instructed Cabinet ministers to prioritize countermeasures. Large-scale natural disasters, including Typhoon Dujuan, have caused significant damage recently in Japan, he said. "The types of disasters have diversified considerably."

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'No doubt' that climate change played role in Nepal-Tibet flood, study finds A study has found that climate change had contributed to the glacier collapse that unleashed devastating floods on the Nepal-Tibet border. More than 1,400 people were killed and thousands are missing following the deluge on 26 August. There was absolutely no doubt that human-induced climate change played a role here in the preconditioning of the disaster, said Friederike Otto, a climatologist at Imperial College London and one of the study's authors. The World Weather Attribution study, published on Thursday, said the disaster was the result of a compound event caused by rising temperatures, thinning glaciers, thawing permafrost and pre-existing geological weaknesses. Massive floods and landslides swept through border towns and villages in Nepal and Tibet, wiping out thousands of houses, destroying energy infrastructure and leaving thousands dead or missing.

Things to Do in L.A. Tap to enable a layout that focuses on the article. L.A. County lacked coordinated plan, processes to guide recovery after 2025 fires, report finds Construction workers help rebuild a home along Mariposa Street in Altadena in May. See more from the L.A. Times in Google Search. Facing the greatest disaster in Los Angeles history, the county government did not have the plans and procedures in place it needed to jump-start a recovery after the January 2025 fires, a new review found. The new report suggested a slew of reforms to ensure the region is better prepared for the next major emergency, and noted that -- despite outdated or absent plans -- county employees and partners worked hard to provide many of the resources and support that fire survivors needed, often under exceptionally challenging circumstances.

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Would even an AI disaster on the scale of Hiroshima be enough to make humankind protect itself? It's clear here in Silicon Valley that AI is advancing faster than humans' ability to control it. H ere in Silicon Valley, the experts think that within the next couple of years we'll see an extraordinary takeoff for artificial intelligence. "Welcome to the foothills of the singularity," as a Stanford University friend greeted me. More prosaically, the imminent breakthrough is described as "recursive self-improvement" - the point at which AI itself trains each successive model of AI, resulting in an exponential development to something which, in many significant respects, is more intelligent than us humans.

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B: 2022-06-01Natural disasters cause devastating damage to communities and infrastructure everyyearareas.

Natural disasters cause devastating damage to communities and infrastructure every year. Effective disaster response is hampered by the difficulty of accessing affected areas during and after events. Remote sensing has allowed us to monitor natural disasters in a remote way. More recently there have been advances in computer vision and deep learning that help automate satellite imagery analysis, However, they remain limited by their narrow focus on specific disaster types, reliance on manual expert interpretation, and lack of datasets with sufficient temporal granularity or natural language annotations for tracking disaster progression. We present MONITRS, a novel multimodal dataset of $\sim$10,000 FEMA disaster events with temporal satellite imagery with natural language annotations from news articles, accompanied by geotagged locations, and question-answer pairs. We demonstrate that fine-tuning existing MLLMs on our dataset yields significant performance improvements for disaster monitoring tasks, establishing a new benchmark for machine learning-assisted disaster response systems.

A worker checks the radiation level inside the control room of reactor No 4, where the Chornobyl disaster happened in 1986. A worker checks the radiation level inside the control room of reactor No 4, where the Chornobyl disaster happened in 1986. In February 2025, a cheap Russian drone tore through Chornobyl's confinement shelter. Workers warn the site of the world's worst nuclear accident is not safe yet The dosimeter clipped to your chest ticks faster the moment you step off the designated path inside the Chornobyl nuclear power plant. Step back, and it slows again - an invisible line between clean ground and contamination.