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Hezbollah drone attack in Israel wounds over 60 people, some critically: reports

FOX News

Israeli rescue services say nearly 60 people were injured, some critically, in a drone strike in Binyamina on Sunday, which Hezbollah has claimed responsibility for. Rescue services in Israel said over 60 people were wounded, some of them critically, in a drone strike in Binyamina, Israel, which the Lebanon-based Hezbollah militant group has claimed responsibility for, according to reports. Israeli media reported that two drones were launched from Lebanon, one of which was intercepted. Who was hurt – whether military members or civilians – or what was struck was not immediately clear. On Thursday, Israel conducted two strikes in Beirut that killed 22 people, and Hezbollah said it was retaliating for the strikes by targeting an Israeli military training camp.


Drone attack in eastern Burma kills at least 5, including senior army official

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A drone attack on a police headquarters in a major border town in eastern Burma has killed at least five officials including a senior army officer and a district administrator, members of two emergency rescue teams and media reports said Monday. The attack, carried out Sunday evening in two stages, is believed to be the deadliest aerial bombing targeting high-ranking security and administrative officials since armed resistance was launched more than two years ago against the military that seized power in February 2021 from the elected government of Aung San Suu Kyi. The takeover was met with peaceful nationwide protests, but after security forces cracked down with lethal force, many local armed resistance groups were formed and loosely organized into what is called the People's Defense Force, or PDF. It's the armed wing of Burma's shadow National Unity Government, which views itself as a country's legitimate administrative body.


Video shows rescue workers help an injured hiker get down from atop of 400-foot cliff with a drone

Daily Mail - Science & tech

A 65-year-old woman in Utah's Snow Canyon State Park got some unexpected help from a drone operated by the local sheriff's department, after injuring her ankle while hiking with friends. While walking near the edge of Island in the Sky, a famous canyoneering and rock climbing route, she slipped and fell several feet, injuring her ankle to the point where she could no longer stand or support her own weight. The group of three friends she was with called the sheriff's search and rescue team rather than attempt to carry her back down the steep and sandy trail themselves. Search and rescue workers from the Washington Country Sheriff's Department in Utah used a drone to deliver then 660 feet of twine to help setup a rappelling system to get an injured hiker down from a clifftop The sheriff's team decided to bring the woman down from the 400-foot-tall cliff, the equivalent of 40 stories, by strapping her to a stretcher and using a rappelling system to guide her down. The only problem was they didn't have enough rope to reach actually reach the ground.


The future of rescue robotics

Robohub

Current research is aligned with the need of rescue workers but robustness and ease of use remain significant barriers to adoption, NCCR Robotics researchers find after reviewing the field and consulting with field operators. Robots for search and rescue are developing at an impressive pace, but they must become more robust and easier to use in order to be widely adopted, and researchers in the field must devote more effort to these aspects in the future. This is one of the main findings by a group of NCCR Robotics researchers who focus on search-and-rescue applications. After reviewing the recent developments in technology and interviewing rescue workers, they have found that the work by the robotics research community is well aligned with the needs of those who work in the field. Consequently, although current adoption of state-of-the-art robotics in disaster response is still limited, it is expected to grow quickly in the future.


What CMU's Snake Robot Team Learned While Searching for Mexican Earthquake Survivors

IEEE Spectrum Robotics

A few days after a 7.1-magnitude earthquake struck Mexico City last month, Carnegie Mellon University roboticists were contacted to see if their snake robots could help with search-and-rescue efforts. Mexican rescuers were still trying find people in the rubble of collapsed buildings, and even though several days had passed, they thought it'd be worth trying to bring in the snakebots. Within 24 hours, a team of CMU roboticists had packed their gear and headed out to the disaster site. We spoke with Matt Travers, who was on the ground in Mexico City operating the robots, along with Howie Choset, who heads CMU's Biorobotics Lab where the snake robots are developed, about their experience with using robots in a real disaster and how, although no survivors were found during the rescue missions they assisted with, they learned an enormous amount being on-site. IEEE Spectrum: Were you and your robots ready for a real disaster? Howie Choset: Since the beginning of my adventure into snake robots, I've been interested in search and rescue.


Technology: Robot rescue: These guys go where human searchers can't

AITopics Original Links

Mark Micire makes it very clear: His robot did not rescue any victims of Hurricane Katrina. "We saw inside structures that would not have been able to be searched by a human," said Micire, 29 and president of American Standard Robotics in St. Petersburg. "It's as important to find where not to search as it is where to search." Many buildings were flattened, leaving no more than piles of rubble that rescue workers or dogs could navigate, Micire said. But some damaged buildings hung by a thread, where even a breeze might have caused them to tumble. So risking a robot, despite a $40,000 price tag, is safer than sending rescue personnel into those buildings.


Using Artificial Intelligence for Emergency Management

#artificialintelligence

Natural disasters are out of the reach and influence of human beings. However, a lot can be done to minimize loss of lives. Artificial intelligence is one viable option that can potentially prevent massive loss of lives while at the same time make rescue efforts easy and efficient. To learn more, checkout the infographic below created by Eastern Kentucky University's Online Masters in Safety degree program. In the period between 2005 and 2015, a total of 242 natural disasters occurred in the United States of America.


Using Artificial Intelligence for Emergency Management

#artificialintelligence

Natural disasters are out of the reach and influence of human beings. However, a lot can be done to minimize loss of lives. Artificial intelligence is one viable option that can potentially prevent massive loss of lives while at the same time make rescue efforts easy and efficient. To learn more, checkout the infographic below created by Eastern Kentucky University's Online Masters in Safety degree program. In the period between 2005 and 2015, a total of 242 natural disasters occurred in the United States of America.


Using Artificial Intelligence for Emergency Management

#artificialintelligence

Natural disasters are out of the reach and influence of human beings. However, a lot can be done to minimize loss of lives. Artificial intelligence is one viable option that can potentially prevent massive loss of lives while at the same time make rescue efforts easy and efficient. To learn more, checkout the infographic below created by Eastern Kentucky University's Online Masters in Safety degree program. In the period between 2005 and 2015, a total of 242 natural disasters occurred in the United States of America.


Human eyes assist drones, teach machines to see

#artificialintelligence

Drone images accumulate much faster than they can be analyzed. Researchers have developed a new approach that combines crowdsourcing and machine learning to speed up the process. Who would win in a real-life game of "Where's Waldo," humans or computers? A recent study suggests that when speed and accuracy are critical, an approach combing both human and machine intelligence would take the prize. With drones being used to monitor everything natural disaster sites, pollution, or wildlife populations, analyzing drone images in real-time has become a critically important big data challenge. Publishing in the journal Big Data, researchers, including Stéphane Joost from EPFL, present a new approach to rapidly interpret aerial images taken by camera drones that combines human crowdsourcing and machine learning.