A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...

The system could also work in reverse, showing how other aspects of a structure should be altered in order to utilize a given tree fork for a specific node. In the next step of the process, another ...