This innovation, published in Nature, could revolutionize food safety and medical diagnostics.
The new AI sensor can detect differences in similar liquids, such as milk with different water content, and effectively recognize spoiled products.
The system works on the principle of a neural network that mimics the work of the human brain, which perceives and interprets taste sensations.
The researchers provided the network with 20 parameters to analyze the interaction of liquids with sensors. The AI identified the indicators independently, resulting in over 95% accuracy.
According to Professor Saptarshi Das, artificial language simulates the process of perceiving food in the same way the brain does, creating new opportunities for improving food quality control technologies.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
