The University of Leeds researchers have developed a neural network that claims to be able to map a large iceberg in just 0.01 seconds. Tracking the locations of large icebergs manually is possible, but it’s not feasible to track changes in their area and thickness. “Giant icebergs are important components of the Antarctic environment,” Anne Braakmann-Folgmann, lead author of a paper on the neural network, stated. The researchers trained an algorithm called U-net using imagery captured by the ESA’s Copernicus Sentinel-1 Earth-monitoring satellites. The new model is said to surpass previous attempts at automation, being 10,000 times faster than humans at mapping icebergs.
- November 21, 2023
Nintendo has recently revealed its Black Friday offers for the year. While there are no direct cash discounts on Switch hardware, the company offers a […]
- December 5, 2023
Black Friday (and a few sales before that) brought the second generation AirPods Pro with the new USB-C charging case to $190. After Cyber Week […]
- November 13, 2023
Civitai, an online marketplace for sharing AI models, has introduced a new feature called “bounties” to encourage its community to develop deepfakes of real people. […]