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AI news ·

AI firms recreate endangered plant scents without harvesting

AI can recreate scents from small plant samples to help protect endangered species, but questions remain about accuracy, data rights, and fair benefit sharing.

Biotech teams report that AI models can infer and reproduce the molecular structure of scents from very small plant samples. The approach aims to reduce the need to harvest material from endangered species, a practice that can strain wild populations. The models are trained to predict scent compounds based on limited input, offering a way to study and use these aromatics without large-scale extraction.

The development points to a practical role for AI in sustainable product development. It may allow fragrance, cosmetic, and pharmaceutical sectors to access rare botanical profiles while limiting ecological impact. At the same time, the work surfaces persistent issues. Questions remain about how to validate the accuracy of the reproduced scents, who holds the rights to the molecular data and the resulting products, and how benefits should be shared with source communities or countries.

Source: https://digestai.news

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