A consumer-grade drone can take photos of trees from above that are good enough to train a deep-learning algorithm to tell different species apart.
Details: The team behind the project flew drone over a forest in Kyoto, Japan, to take photos and then divided some of them into seven categories: six types of trees and one called “others,” for images that captured bare land or buildings.
Results: After some fiddling, the algorithm (which was on an earth-bound computer) achieved 89 percent accuracy overall.
Why it matters: Forest surveys typically use expensive systems outfitted with lidar or specialized cameras. This commercially available setup could be a cheap way to automate tree surveys, and the algorithm could be retrained to aid in disaster response, check pipelines for leaks, or help with other monitoring efforts that need to quickly cover a large area.
This artist is dominating AI-generated art. And he’s not happy about it.
Greg Rutkowski is a more popular prompt than Picasso.
What does GPT-3 “know” about me?
Large language models are trained on troves of personal data hoovered from the internet. So I wanted to know: What does it have on me?
An AI that can design new proteins could help unlock new cures and materials
The machine-learning tool could help researchers discover entirely new proteins not yet known to science.
DeepMind’s new chatbot uses Google searches plus humans to give better answers
The lab trained a chatbot to learn from human feedback and search the internet for information to support its claims.
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