Be sure to hold on to your hats (and pizza) when near a boiling hot vent. Breakthroughs, discoveries, and DIY tips sent every weekday. No, it's your hat, ripped off your head by a gust of wind, spiraling off into the unknown. It's happened to the best of us. The only thing left to do is purchase another one before your face gets sunburnt .

When Sookie Orth sat down to write her college essay last fall, something quickly came to mind. Orth, then a senior at Sequoyah School in Pasadena, began her draft with a declaration: "I learned how to fold a pizza box at the age of nine." She told the story of her years-long connection with Pizza of Venice in Altadena, where she often dined with her family as a little kid. One day, the manager invited her to assemble a box. Impressed with Orth's speed, the woman told her she could work at the pizzeria when she was older.

We provide a dataset that enables the creation of learning agents that can build knowledge graph-based world models of interactive narratives. Interactive narratives -- or text-adventure games -- are partially observable environments structured as long puzzles or quests in which an agent perceives and interacts with the world purely through textual natural language. Each individual game typically contains hundreds of locations, characters, and objects -- each with their own unique descriptions -- providing an opportunity to study the problem of giving language-based agents the structured memory necessary to operate in such worlds. Our dataset provides 24198 mappings between rich natural language observations and: (1) knowledge graphs that reflect the world state in the form of a map; (2) natural language actions that are guaranteed to cause a change in that particular world state. The training data is collected across 27 games in multiple genres and contains a further 7836 heldout instances over 9 additional games in the test set. We further provide baseline models using rules-based, question-answering, and sequence learning approaches in addition to an analysis of the data and corresponding learning tasks.

When a team of international scientists set out to count every tree in a large swathe of west Africa using AI, satellite images and one of the world's most powerful supercomputers, their expectations were modest. Previously, the area had registered as having little or no tree cover. The biggest surprise, says Martin Brandt, assistant professor of geography at the University of Copenhagen, is that the part of the Sahara that the study covered, roughly 10%, "where no one would expect to find many trees", actually had "quite a few hundred million". Trees are crucial to our long-term survival, as they absorb and store the carbon dioxide emissions that cause global heating. But we still do not know how many there are.