A UGR research team has developed a method for classifying the ripeness of peppers using hyperspectral imaging, which is a non-invasive technique, and machine learning.

Presented with hundreds of these images, humans labeled them based on their shape — cat, bear, airplane — almost every time, as expected. Four different classification algorithms, however, leaned the ...

Fairfax County students Gautham Ramachandran and Sriram Nalini used AI to create an algorithm that can be used to classify EEG signals, which can be used to control prosthetics.

New computer algorithms modeled on the human brain have learned to classify galaxies by shape, size and color with 90 percent accuracy. Skip to main content.