Automated plant identification using computer vision can aid habitat monitoring, traditionally a slow process. Researchers tested six models on images from diverse habitats, including those collected ...

When it comes to large language models, even with temperature settings minimized, subtle variations in context formatting can ...

Picking strawberries may seem simple, but it has proven surprisingly difficult for even the most sophisticated of robots.

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

Third, we adapt the dual-tree algorithm for SR-Tree that outperforms sequential queries for the all-nearest neighbors problem in low-to-medium dimensional large datasets. These improvements were ...

Home Depot uses generative AI for customer questions; Pinterest experiments with labeling technology to address AI content flood and more.

3D tree reconstruction algorithm contributes to a new era of urban planning Digital forestry tool, grounded in real-world imagery, provides a portal to future Purdue University ...

is minimized. But how do you find such a minimum spanning tree? Prim and Kruskal to the rescue! These are two algorithms that solve the same problem, finding a minimum weight spanning tree in a ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.