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Gemma 4 E4B helps find climate-resilient crop mutations faster

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AI lab Living Models pairs Gemma 4 E4B with BOTANIC-1, a genomic language model, to speed up identifying DNA that makes crops climate-resilient.

Gemma prepares genomic data and filters candidates, while BOTANIC-1 scores evolutionary impact to pinpoint the causal mutation.

In a recent test, the system ranked a target melon yield mutation first out of 2,494 possibilities after an afternoon of computation.

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Finding the exact DNA that makes crops climate-resilient used to take years of physical breeding.

To speed this up, AI lab Living Models pairs Gemma 4 E4B with BOTANIC-1, a genomic language model. Gemma prepares the genomic data, feeding filtered candidates to BOTANIC-1 to score evolutionary impact and pinpoint the causal mutation.

In a recent test, they pinpointed a target melon yield mutation in an afternoon of computation, ranking it #1 out of 2,494 possibilities.

Source: Google Gemma · x.comPublished · added here

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