Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species and ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Overview from Bartlett Experimental Forest, New Hampshire (BART) showing 4,352,930 tree predictions for 7 species at 3 spatial scales. A collaborative team of researchers led by Ben Weinstein of the ...