The device detecting the world’s deadliest creature
A University of Wollongong researcher developed a low-power AI device that identifies disease-carrying mosquitoes by their wing-beat frequency. Associate Professor Kiran Trivedi compressed machine learning into a 19-kilobyte model achieving 88.3 percent accuracy at distinguishing Anopheles, Culex, and Aedes species. The technology operates off-grid without internet, offering potential to combat mosquito-borne diseases killing 700,000 annually.
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Published 19 Jul 2026, 03:50 UTC · Updated 19 Jul 2026, 04:00 UTC
Summary by OZbrief Editorial. Original report: SMH. Editorial policy · Corrections