We hear a lot about engineering hardware and software and other accompanying technologies for 3D printing, so the idea of going in reverse may raise an eyebrow or two; however, scientists from the NYU Tandon School of Engineering are using machine learning and reverse engineering to test vulnerability in 3D printing toolpaths.
Security in 3D printing has been an ongoing concern for years now, and the focus of numerous different research studies. On a more topical level, there are worries about criminal factions using the technology for evil purposes like fabricating skimmers , making guns for nefarious purposes, and even 3D printing packaging for illicit drugs . On a much deeper, more analytical level, there is vulnerability to cyberterrorism, whether in tampering with critical parts for aerospace applications, creating product defects and causing safety issues and liability, or even interfering in military operations . The researchers, led by Nikhil […]
I’ve been investigating the rather quiet company Seurat Technologies, which is developing a new metal 3D printing...