Advancements in machine learning will finally give the scientific community the processing power needed to upload the Earth’s vital flora to a cloud server before its natural habitat is fully paved.
LONDON — A new report from the Royal Botanic Gardens, Kew, has concluded that advancements in artificial intelligence and rapid digitization will finally allow the scientific community to maintain a flawless, high-definition archive of the Earth’s vital plant life just as it is permanently wiped out by rising global temperatures.
The state-of-the-art machine learning models, detailed in Kew’s annual State of the World’s Plants and Fungi assessment, are currently being deployed to track shifting flowering times and rapidly process 180-year-old fungus specimens. Researchers noted the technology represents a critical turning point in the scientific community's race against extinction, providing botanists the processing speed needed to sequence an endangered species and securely upload it to an Amazon Web Services server moments before its remaining ecosystem is bulldozed for a natural gas pipeline.
We spent decades losing irreplaceable flora before we even knew what it was, which represented a tragic, unrecoverable loss of pharmaceutical IP.
By granting researchers in the global south online access to millions of newly digitized records, the AI platform ensures scientists worldwide can study detailed 3D renders of the rare medicinal plants that used to grow in their regions. According to the report, the rapid extraction of DNA from archival specimens has already uncovered a “genomic goldmine” that several agricultural conglomerates and ESG index funds are rushing to patent before the physical biosphere collapses entirely.
The Kew botanical digitization project is scheduled to complete its primary data ingestion phase by late 2025, assuming the regional power grid can sustain the AI models' massive energy demands during the upcoming, unprecedented spring fire season.