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More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. No one had ever tried to fight a volcano--until some brave Icelanders tried to in 1973. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . On January 23, 1973, the 5,000 residents of the tiny Icelandic island of Heimaey--located in the Westman archipelago just four miles off Iceland's southern coast--woke up to the Earth splitting open.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW?

Versus Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Creator Hub Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series If you missed it, just wait a hundred years or so... Chase joined Mashable's Social Good team in 2020, covering online stories about digital activism, climate justice, accessibility, and media representation. Crowds gather across Europe and North America to witness another solar eclipse. For the first time in 27 years, the people of mainland Europe were able to watch the moon pass perfectly in front of the sun and blot out its earthbound rays. That means members of Gen Alpha, and many young Gen Z space enthusiasts, just experienced their very first total solar eclipse . Totality, the moment when the sun is fully obscured by the moon, reached Iceland around 1:49 p.m. ET.

A new documentary uses archival photos to tell the story of the land of fire and ice. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Strong winds lift snow off a glacial cap on a sunny day in Iceland. Breakthroughs, discoveries, and DIY tips sent six days a week. What happens when your homeland begins to melt?

Discrete automated processes in industrial and cyber-physical systems often exhibit a repetitive structure in which successive repetitions follow a common trajectory while differing in duration, amplitude, and fine-scale dynamics. Such \emph{approximately periodic} behavior poses a challenge for Gaussian Processes (GP) modeling: strictly periodic models suppress inter-repetition variability, while non-periodic models fail to capture the strong structural regularities required for generation. In this work, we propose a stochastic generative model for approximately periodic time series. The model is based on a GP whose posterior is modulated by a novel kernel. Our approach decouples intra-repetition structure from inter-repetition variability through a two-stage construction which yields a generative distribution with a identical mean function across repetitions, while allowing smooth variation between repetitions. The modeling choices are supported by an implementation in which realistic synthetic trajectories are generated from toy datasets.

What would happen if Yellowstone's'supervolcano' erupted today? Say goodbye to Montana, Wyoming, and Idaho. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. This photo of a volcano in Iceland doesn't even begin to encapsulate the devastation that would happen if the Yellowstone volcano erupted. Breakthroughs, discoveries, and DIY tips sent six days a week.

We investigate stochastic combinatorial semi-bandits, where the entire joint distribution of outcomes impacts the complexity of the problem instance (unlike in the standard bandits). Typical distributions considered depend on specific parameter values, whose prior knowledge is required in theory but quite difficult to estimate in practice; an example is the commonly assumed sub-Gaussian family. We alleviate this issue by instead considering a new general family of sub-exponential distributions, which contains bounded and Gaussian ones. We prove a new lower bound on the expected regret on this family, that is parameterized by the unknown covariance matrix of outcomes, a tighter quantity than the sub-Gaussian matrix. We then construct an algorithm that uses covariance estimates, and provide a tight asymptotic analysis of the regret. Finally, we apply and extend our results to the family of sparse outcomes, which has applications in many recommender systems.

Alexandre Rocha, a French father in Iceland, claims he lost parental rights after opposing his autistic son's sex reassignment, alleging courts prioritized ideology over his rights.