Scientists reveal what triggered Santorini'earthquake swarm' The swarm of tens of thousands of earthquakes near the Greek island of Santorini earlier this year was triggered by molten rock pumping through an underground channel over three months, scientists have discovered. They used physics and artificial intelligence to work out exactly what caused the more than 25,000 earthquakes, which travelled about 20km (12 miles) horizontally through the Earth's crust. They used each of the tremors as virtual sensors, then used artificial intelligence to analyse patterns associated with them. One of the lead researchers, Dr Stephen Hicks from UCL, said combining physics and machine learning in this way could help forecast volcanic eruptions. The seismic activity started to stir beneath the Greek islands of Santorini, Amorgos, and Anafi in January 2025.

The Split and Rephrase task, which consists in splitting complex sentences into a sequence of shorter grammatical sentences, while preserving the original meaning, can facilitate the processing of complex texts for humans and machines alike. In this work, we describe an approach based on large language models, which improves over the state of the art by large margins on all the major metrics for the task, on publicly available datasets. We also describe results from two human evaluations that further establish the significant improvements obtained with large language models and the viability of the approach. We evaluate different strategies, including fine-tuning pretrained language models of varying parameter size, and applying both zero-shot and few-shot in-context learning on instruction-tuned language models. Although the latter were markedly outperformed by fine-tuned models, they still achieved promising results overall. Our results thus demonstrate the strong potential of different variants of large language models for the Split and Rephrase task, using relatively small amounts of training samples and model parameters overall.

Each year, over a million missing persons cases are reported in the US and UK, leaving families desperately searching for their loved ones. In the hope of boosting this search, researchers have developed a new and more accurate method of ageing facial images. They have tested their new software on an image of Ben Needham, who went missing when he was a toddler in 1991 on the Greek island of Kos. The resulting images are vastly different to the computer generated images of Ben as an adult produced by current face-ageing current software. This, they say, suggests that existing technology isn't up to the task.

Boiteux, an assistant fire chief from Los Angeles, is helping train Greek first responders to use Emily. Boiteux, an assistant fire chief from Los Angeles, is helping train Greek first responders to use Emily. On a cold, rainy morning a few weeks ago, eight black inflatable rafts, loaded with migrants, bob in the waters off the northern shore of the Greek island of Lesbos. "This boat up there?" he says. So they ask for help from the coast guard." A Norwegian rescue boat with the European Union's border agency, Frontex, heads toward the distressed raft. Hantzopoulos walks along the rocky shore with John Sims, a fire captain from Sahuarita, Ariz. He's teaching members of the Hellenic Red Cross how to use a remote-controlled rescue device called Emily -- which stands for Emergency Integrated Lifesaving Lanyard. You might call Emily a buoy. You might call her a boat. She's about 4 feet long, weighs 25 pounds and looks like a cylinder wrapped in an orange-red life jacket. Sims steers Emily in the water with a remote control. She speeds toward the migrant rafts. "I'll keep her about 20-30 meters behind [them]," he says. The only thing that affects her sometimes over a wave is a little bit of wind. In a high wind situation we would actually fill the hull with some water to be able to weight her down some so, so, she wouldn't fly so bad off the top of the waves."