Effective management of agricultural landscapes is critical for meeting global biodiversity targets, but efforts are hampered by the absence of detailed, large-scale ecological maps. To address this, we introduce Farmscapes, the first large-scale (covering most of England), high-resolution (25cm) map of rural landscape features, including ecologically vital elements like hedgerows, woodlands, and stone walls. This map was generated using a deep learning segmentation model trained on a novel, dataset of 942 manually annotated tiles derived from aerial imagery. Our model accurately identifies key habitats, achieving high f1-scores for woodland (96\%) and farmed land (95\%), and demonstrates strong capability in segmenting linear features, with an F1-score of 72\% for hedgerows. By releasing the England-wide map on Google Earth Engine, we provide a powerful, open-access tool for ecologists and policymakers. This work enables data-driven planning for habitat restoration, supports the monitoring of initiatives like the EU Biodiversity Strategy, and lays the foundation for advanced analysis of landscape connectivity.

They provide a home for birds and insects, keep soils healthy and even help the fight against climate change. Now, due to their importance to the English countryside, scientists have created the most comprehensive maps yet of England's hedges. The scientists used LiDAR – a technology that emits pulses of light to create 3D images – to identify the hedgerows' locations and measure their heights. According to the results, there are 242,000 miles (390,000km) of fully-grown hedges in England – enough to go around Earth nearly 10 times. Counties with the most hedges are Cornwall, Somerset and Derbyshire, while those with the least include Surrey, Hampshire and Berkshire.

The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that somehow moved up 45 minutes since you left the house and the goober in front of you is, in the year of our lord 2022, still somehow confused about why we have to take our shoes off in security and, goddamit dude, stop arguing with the TSA and untie your laces already these tickets are nonrefundable. AI can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions.

The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that magically moved up 45 minutes since you left the house and the goober in front of you is in the year of our lord 2022 still somehow confused about why we have to take our shoes off in security and goddamit dude stop arguing with the TSA and untie your laces already these tickets are nonrefundable. Ai can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions.