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Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions
Published on: June 7, 2024
Sana Mehrbakhsh1, Milad Babazadeh-Mamaqani1, Hossein Roghani-Mamaqani1,2
1Faculty of Polymer Engineering, Sahand University of Technology, Tabriz, Iran.
Advanced polymer-based physical unclonable functions (PUFs) offer robust, unclonable security against commodity fraud. Combining PUF polymers with AI and computer vision creates multi-level encryption for enhanced product protection.
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