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A collaborative team of researchers led by Ben Weinstein of the University of Florida, Oregon, US, utilized machine learning to create detailed maps of over 100 million trees from 24 sites in the US. These maps offer insights into individual tree species and conditions, aiding conservation efforts and ecological projects. The study was published in the open-access journal PLOS Biology on July 16.
The researchers trained a deep neural network using images of tree canopies and sensor data to classify common tree species with 75 to 85% accuracy. The algorithm could also identify whether trees were alive or dead, providing valuable ecological insights. The team's models were uploaded to Google Earth Engine to support further ecological research.
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Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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