Captivating images capture by custom-built drones have revealed the damage to the Greenland Ice Sheet that is being caused by rising global temperatures. The images, which have been taken as part of an EU-funded project to track changes in the world's second-largest ice sheet, are the first drone-based observations of how fractures form and expand under meltwater lakes. The expanding fractures cause catastrophic lake drainages, during which huge quantities of water are transferred to below the surface of the ice. Changes in ice flow occur on a much shorter timescales than were previously considered possible, said the research team, which was led by the University of Cambridge. 'It's possible we've under-estimated the effects of these glaciers on the overall instability of the Greenland Ice Sheet,' said drone pilot Tom Chudley, a PhD student at the University of Cambridge's Scott Polar Research Institute.

Fox News Flash top headlines for Nov. 21 are here. Check out what's clicking on Foxnews.com NASA recently showed off its new underwater rover that it hopes one day could help in exploring alien ocean worlds in the search for life. The robot, known as Buyant Rover for Under-Ice Exploration (BRUIE), is designed to crawl under an ice cap. Right now, it is being tested in Antarctica, in hopes one day it could go to ocean worlds such as Saturn's moon, Enceladus, or Jupiter's moon, Europa.

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The School of Science has announced that 14 of its faculty members have been appointed to named professorships. The faculty members selected for these positions receive additional support to pursue their research and develop their careers. Riccardo Comin is an assistant professor in the Department of Physics. He has been named a Class of 1947 Career Development Professor. This three-year professorship is granted in recognition of the recipient's outstanding work in both research and teaching.

PARIS – Coastal areas currently home to 300 million people will be vulnerable by 2050 to flooding made worse by climate change, no matter how aggressively humanity curbs carbon emissions, scientists said Tuesday. By midcentury and beyond, however, choices made today will determine whether Earth's coastlines remain recognizable to future generations, they reported in the journal Nature Communications. Destructive storm surges fueled by increasingly powerful cyclones and rising seas will hit Asia hardest, according to the study. More than two-thirds of the populations at risk are in China, Bangladesh, India, Vietnam, Indonesia and Thailand. Using a form of artificial intelligence known as neural networks, the new research corrects ground elevation data that have up to now vastly underestimated the extent to which coastal zones are subject to flooding during high tide or major storms. "Sea-level projections have not changed," co-author Ben Strauss, chief scientist and CEO of Climate Central, a U.S.-based non-profit research group, told AFP. "But when we use our new elevation data, we find far more people living in vulnerable areas that we previously understood."

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Though machine learning has achieved notable success in modeling sequential and spatial data for speech recognition and in computer vision, applications to remote sensing and climate science problems are seldom considered. In this paper, we demonstrate techniques from unsupervised learning of future video frame prediction, to increase the accuracy of ice flow tracking in multi-spectral satellite images. As the volume of cryosphere data increases in coming years, this is an interesting and important opportunity for machine learning to address a global challenge for climate change, risk management from floods, and conserving freshwater resources. Future frame prediction of ice melt and tracking the optical flow of ice dynamics presents modeling difficulties, due to uncertainties in global temperature increase, changing precipitation patterns, occlusion from cloud cover, rapid melting and glacier retreat due to black carbon aerosol deposition, from wildfires or human fossil emissions. We show the adversarial learning method helps improve the accuracy of tracking the optical flow of ice dynamics compared to existing methods in climate science. We present a dataset, IceNet, to encourage machine learning research and to help facilitate further applications in the areas of cryospheric science and climate change.

Artificial intelligence has the potential to better patient care while creating cost-efficiencies that would be impossible without it. But it could also worsen racial disparities, have profit outweighing patient care, or simply lead to mistakes that a human wouldn't make. In other news at the intersection of health care and technology: video games, virtual reality for nursing home patients and ways to identify bacteria's genetic makeup. Artificial intelligence can make diagnoses from digitized images such as mammograms and diabetic retinal scans. More sophisticated interventions might also be possible someday: algorithms that guide robots through surgery, for example, or even help restore motor control in paralyzed patients.

While some predict mass unemployment or all-out war between humans and artificial intelligence, others foresee a less bleak future. A future looks promising, in which humans and intelligent systems are inseparable, bound together in a continual exchange of information and goals, a "symbiotic autonomy." It will be hard to distinguish human agency from automated assistance -- but neither people nor software will be much use without the other. In the future, I believe that there will be a co-existence between humans and artificial intelligence systems that will be hopefully of service to humanity. These AI systems will involve software systems that handle the digital world, and also systems that move around in physical space, like drones, and robots, and autonomous cars, and also systems that process the physical space, like the Internet of Things.

Researchers launch and retrieve drones from a boat to photograph humpback and minke whales in the Western Antarctic Peninsula. BEAUFORT -- The swift pace of technological development has given researchers tools that can collect more data in less time and with fewer resources than a decade ago. Lightweight tags with long-lasting batteries can track animals as small as insects and measure the conditions around them. DNA sequencing technologies have decoded the genomes of thousands of organisms from the loblolly pine to the black bear. Drones can quickly photograph landscapes and animals in locations that may be inaccessible or unsafe for people.