Recently, Foursquare released a global dataset with more than 100 million points of interest (POIs), each representing a real-world business on its platform. However, many entries lack complete metadata such as addresses or categories, and some correspond to non-existent or fictional locations. In contrast, OpenStreetMap (OSM) offers a rich, user-contributed POI dataset with detailed and frequently updated metadata, though it does not formally verify whether a POI represents an actual business. In this data paper, we present a methodology that integrates the strengths of both datasets: Foursquare as a comprehensive baseline of commercial POIs and OSM as a source of enriched metadata. The combined dataset totals approximately 1 TB. While this full version is not publicly released, we provide filtered releases with adjustable thresholds that reduce storage needs and make the data practical to download and use across domains. We also provide step-by-step instructions to reproduce the full 631 GB build. Record linkage is achieved by computing name similarity scores and spatial distances between Foursquare and OSM POIs. These measures identify and retain high-confidence matches that correspond to real businesses in Foursquare, have representations in OSM, and show strong name similarity. Finally, we use this filtered dataset to construct a graph-based representation of POIs enriched with attributes from both sources, enabling advanced spatial analyses and a range of downstream applications.

Tech expert Kurt'CyberGuy' Knutsson joins'Fox & Friends' to discuss the future of AI development in the United States. Vice President JD Vance is poised to kick off a trip to Italy and India on Friday – marking his third international trip with the Trump administration. Vance and the second family are poised to meet with and "discuss shared economic and geopolitical priorities with leaders in each country," according to a statement from Vance's office. When in Rome, Vance is scheduled to meet with Italy's Prime Minister Giorgia Meloni and Vatican Secretary of State Cardinal Pietro Parolin. He will meet with India's Prime Minister Narendra Modi while visiting New Delhi, Jaipur and Agra.

We introduce a framework for reasoning about the security of computer systems using modal logic. This framework is sufficiently expressive to capture a variety of known security properties, while also being intuitive and independent of syntactic details and enforcement mechanisms. We show how to use our formalism to represent various progress- and termination-(in)sensitive variants of confidentiality, integrity, robust declassification and transparent endorsement, and prove equivalence to standard definitions. The intuitive nature and closeness to semantic reality of our approach allows us to make explicit several hidden assumptions of these definitions, and identify potential issues and subtleties with them, while also holding the promise of formulating cleaner versions and future extension to entirely novel properties.

End-to-end neural models have made significant progress in question answering, however recent studies show that these models implicitly assume that the answer and evidence appear close together in a single document. In this work, we propose the Coarse-grain Fine-grain Coattention Network (CFC), a new question answering model that combines information from evidence across multiple documents. The CFC consists of a coarse-grain module that interprets documents with respect to the query then finds a relevant answer, and a fine-grain module which scores each candidate answer by comparing its occurrences across all of the documents with the query. We design these modules using hierarchies of coattention and self-attention, which learn to emphasize different parts of the input. On the Qangaroo WikiHop multi-evidence question answering task, the CFC obtains a new state-of-the-art result of 70.6% on the blind test set, outperforming the previous best by 3% accuracy despite not using pretrained contextual encoders.

In February of 1880, the whaling ship Hope sailed north from Peterhead, Scotland, and headed for the Arctic. Her crew included a highly regarded captain, an illiterate but gifted first mate, and the usual roster of harpooners, sailors, and able-bodied seamen--but not the intended ship's surgeon. That gentleman having been unexpectedly called away on family matters, a last-minute substitute was found, in the form of a middling third-year medical student making his maiden voyage: a young man by the name of Arthur Conan Doyle. Conan Doyle was twenty when he left Peterhead and twenty-one when he returned. On Saturday, May 22nd, in the meticulous diary he kept during that journey, he wrote, "A heavy swell all day. I came of age today. Rather a funny sort of place to do it in, only 600 miles or so from the North Pole." Funny indeed, for a man who would come to be associated with distinctly un-Arctic environments: the gas-lit glow of Victorian London, the famous chambers at 221B Baker Street, and--further afield, but not much--the gabled manors and foggy moors where Sherlock Holmes tracked bloody footprints and dogs failed to bark in the night. Shortly after returning from the north, and long before writing any of the stories that made him famous, Conan Doyle told two tales about the Arctic--one fictional, the other putatively true. The first, in 1883, was "The Captain of the Pole-Star," one of his earliest published short stories. In it, a young medical student serving as the surgeon on a whaling ship watches, first in disbelief and then in dread, as his captain goes mad. Although winter is closing in, the captain sails northward into the Arctic until his ship is stuck fast.

Arctic warming has'gone into overdrive': NOAA reveals the top of the world is heating up TWICE as fast as the rest of the planet Warming at the top of the world has gone into overdrive, happening twice as fast as the rest of the globe, and extending unnatural heating into fall and winter, according to a new federal report. This map shows temperatures across the Arctic from October 2015-September 2016 compared to the 1981-2010 average. Get ready to'Waymo' a self-driving cab: Google creates new... The'internet of the road': Government proposals call for... The highest wave in history: UN confirms six-storey-high... Stunning new 3D simulation of carbon moving through the... Get ready to'Waymo' a self-driving cab: Google creates new...

As an effective technology for navigating a large number of images, image summarization is becoming a promising task with the rapid development of image sharing sites and social networks. Most existing summarization approaches use the visual-based features for image representation without considering tag information.In this paper, we propose a novel framework, named JOINT, which employs both image content and tag information to summarize images. Our model generates the summary images which can best reconstruct the original collection. Based on the assumption that an image with representative content should also have typical tags, we introduce a similarity-inducing regularizer to our model. Furthermore, we impose the lasso penalty on the objective function to yield a concise summary set. Extensive experiments demonstrate our model outperforms the state-of-the-art approaches.