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Can a model trained on satellite data really find brambles on the ground?

Over the summer Gabriel Mahler has been conducting research on hedgehog habitat mapping using Agent Based Models (ABMs) and remote sensing. Hedgehogs seem to like brambles and so as part of his work he has produced a bramble map. He did this by combining the TESSERA earth representation embeddings (using the geotessera library) with data from iNaturalist. The current model is an ensemble of logistic regression and a knn classifier. Can we really see brambles from space? What better way to test

Tropical Storm Gabrielle Breaks ‘Unprecedented’ Atlantic Storm Drought

An exceptionally long lull in Atlantic storm activity finally came to an end Wednesday as Tropical Storm Gabrielle took shape. Forecasters at the National Hurricane Center expect this storm to strengthen into the second hurricane of the season by Sunday. Gabrielle’s emergence followed 20 days of no named storms in the Atlantic basin—a dry spell that WPLG-TV hurricane specialist Michael Lowry called “unprecedented” for the peak of the Atlantic hurricane season. As of Friday morning, Gabrielle ha

Roundtables: Why It’s So Hard to Make Welfare AI Fair

Amsterdam tried using algorithms to fairly assess welfare applicants, but bias still crept in. Why did Amsterdam fail? And more important, can this ever be done right? Hear from MIT Technology Review editor Amanda Silverman, investigative reporter Eileen Guo, and Lighthouse Reports investigative reporter Gabriel Geiger as they explore if algorithms can ever be fair. Speakers: Eileen Guo, features & investigations reporter, Amanda Silverman, features & investigations editor, and Gabriel Geiger