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.

Over the weekend a Saildrone -- a 23-foot long uncrewed marine robot -- withstood the tempestuous seas around Antarctica to complete the first-ever circumnavigation of the continent by a drone. National Oceanic and Atmospheric Administration (NOAA) scientists collaborated with autonomous vehicle specialists, Saildrone, to test whether the seafaring robot could survive the rough waters, and make successful scientific observations. NOAA needs to gauge how much carbon dioxide -- the potent greenhouse gas now amassing in the atmosphere -- the southern seas are absorbing from the air, and it hopes Saildrones can help. Overall, the oceans soak up a huge amount of the CO2 that humanity emits into the atmosphere (some 30 percent), which has substantially curbed Earth's accelerating temperature rise. Now, understanding how much carbon the oceans will likely soak up in the future is critical to grasping how Earth's increasingly disrupted climate will transform society and the natural world.

Trevor has been an investor, advisor and operator for cutting-edge technology companies for 15 years with multiple successful exits, and is a regular contributor to business and technology publications such as Inc, Forbes, TechCrunch and Mashable. Trevor currently serves as the CEO of Perch, the leader in interactive Physical Digital retail displays that can detect when customers approach, touch or pick up products and then respond with digital experiences that consistently drive 30-80% sales lift. Trevor is a native New Yorker, an avid fisherman (he caught a 600 lb Black Marlin), an amateur chef and an adventure scuba diver who has dived on every continent including Antarctica.

Robots can drive on the plains and craters of Mars, but what if we could explore cliffs, polar caps and other hard-to-reach places on the Red Planet and beyond? Designed by engineers at NASA's Jet Propulsion Laboratory in Pasadena, California, a four-limbed robot named LEMUR (Limbed Excursion Mechanical Utility Robot) can scale rock walls, gripping with hundreds of tiny fishhooks in each of its 16 fingers and using artificial intelligence (AI) to find its way around obstacles. In its last field test in Death Valley, California, in early 2019, LEMUR chose a route up a cliff while scanning the rock for ancient fossils from the sea that once filled the area. For Climbing Robots, the Sky's the Limit: The climbing robot LEMUR rests after scaling a cliff in Death Valley, California. The robot uses special gripping technology that has helped lead to a series of new, off-roading robots that can explore other worlds.Credit: NASA/JPL-Caltech LEMUR was originally conceived as a repair robot for the International Space Station.