Click For Photo: https://www.sciencedaily.com/images/2019/02/190206104535_1_540x360.jpg
Specifically, the AI program has proven capable of identifying six species of foraminifera, or forams -- organisms that have been prevalent in Earth's oceans for more than 100 million years.
Forams are protists, neither plant nor animal. When they die, they leave behind their tiny shells, most less than a millimeter wide. These shells give scientists insights into the characteristics of the oceans as they existed when the forams were alive. For example, different types of foram species thrive in different kinds of ocean environments, and chemical measurements can tell scientists about everything from the ocean's chemistry to its temperature when the shell was being formed.
Shells - Fossils - Time - Consuming - Team
However, evaluating those foram shells and fossils is both tedious and time consuming. That's why an interdisciplinary team of researchers, with expertise ranging from robotics to paleoceanography, is working to automate the process.
"At this point, the AI correctly identifies the forams about 80 percent of the time, which is better than most trained humans," says Edgar Lobaton, an associate professor of electrical and computer engineering at North Carolina State University and co-author of a paper on the work.
Proof - Concept - System - Time - Machine
"But this is only the proof of concept. We expect the system to improve over time, because machine learning means the program will get more accurate and more consistent with every iteration. We also plan to expand the AI's purview, so that it can identify at least 35 species of forams, rather than the current six."
The current system works by placing a foram under a microscope capable of taking photographs. An LED ring shines light onto the foram from 16 directions -- one at a time -- while taking an image of the foram with each change in light. These 16 images are combined to provide as much geometric information as possible about the foram's shape. The AI then...
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