Manufacturing Bits: March 16
Tripping up neural networks
For years, Russia has been an active area in R&D.
In one example, Russia’s Skolkovo Institute of Science and Technology (Skoltech) has demonstrated how certain patterns can cause neural networks to make mistakes in recognizing images. Leveraging the theory behind this research, Skoltech can design defenses for pattern recognition systems that are vulnerable to attacks.
A subset of AI, machine learning is a technology that make use of a neural network in a system. In this system, the neural network crunches data and identify patterns. It then matches certain patterns and learns which of those attributes are important.
Invisible labels to protect goods from forgery
Researchers fromSt Petersburg’s ITMO University and the St. Petersburg Academic University have developed a new technology for marking goods.
Manufacturers will be able to label electronics, drugs, jewelry, and other products with invisible images that can only be seen with special equipment. These labels will help protect the goods from forgery. The research is published in Advanced Materials.
Companies all over the world are looking for ways to protect their goods from counterfeit. But the available methods offer only temporary solutions. As soon as wrongdoers discover a way to get through the existing protective measures, the technology becomes useless.
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