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A new AI-powered chip from UC Davis can analyze light and chemicals using a device tiny enough to fit almost anywhere. By combining smart silicon sensors with machine learning, it achieves lab-style spectral analysis without the bulky equipment.

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The article doesn't mention whether these chips can be mass-produced at a cost comparable to existing laboratory spectrometers, which would be crucial for adoption in resource-limited settings. If they're significantly cheaper than current lab equipment, this could revolutionize field testing for everything from food safety to environmental monitoring.