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The method predicts keyhole pores in 3D printed metal parts by using a combination of thermal imaging, X-ray imaging, and machine learning.
Oz Forensics is the independent private vendor of robust, technology-based, and AI-powered liveness detection and face-matching solutions founded in 2017 and headquartered in Dubai, UAE. We confirm ...
The latest OnePlus Pad comes with a series of upgrades that can stand up to comparable Samsung tablets in its price range.
The global 3D secure payment authentication market is on a trajectory of robust growth, driven by the escalating volume of ...
It’s no secret, and hasn’t been for some time, that identity is the preferred attack vector for cyber criminals and ...
Scientists have created the first soft robots that can walk straight out of the machines that make them. The flexible, ...
Researchers 3D print soft robots powered by air pressure. The setup from the University of Edinburgh can be assembled for less than £400.
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XDA Developers on MSNResearchers discover that every 3D printer leaves a unique "fingerprint" on prints, and they can be tracked back pretty accuratelyIt turns out that every printer can be identified by its prints, even between machines of the same make, resin, and settings.
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Tom's Hardware on MSNAI can track 3D printed parts back to specific machine that made themOnly a photograph of a part printed by a certain 3D printer is needed to verify its “unique signature... or fingerprint” sa ...
Discover the vulnerabilities of fingerprint scanners and the methods hackers use to exploit them. Understand the importance ...
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