The technique of machine learning, where an algorithm makes predictions based on the data it processes without being explicitly programmed, is an important and wide-reaching area of computing. So the prospect of merging machine learning with 3D printing, as can be seen in a new project by researchers at UCLA, is definitely an exciting one. Using a 3D printed prototype detector with a sensor that can be modified by machine learning techniques, the researchers have demonstrated a new, more efficient way to detect tiny items such as cancer biomarkers, viruses, and proteins. This could improve the treatment and diagnosis of serious infections and diseases.
By David | 3ders.org
Image Credit: Advanced Science News