In the human brain, chemical signals from the nasal cavity pass through special structures, including odor epithelium and odor bulb. These areas not only transmit data more, but also transform chaotic information into a more understandable and stable appearance. Scientists found that the outer layers of these structures have prepared signals for deeper areas of the brain, minimized the loss of information and reduces the burden.
The developed AI model repeats this principle. Especially in the systems with too much noise or unstable signals, it filters and regulates the data that comes before entering more complex processing. This approach may be useful not only for simulating the odor, but also for other tasks where complex sensory information is required, including robotics.
One of the main objectives of the project is to create energy -saving, autonomous AI systems that can work locally without transferring data. This is particularly important for safety duties, for example, to detect harmful substances.
Source: Ferra
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