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.
Take it further — get the full app and never miss a moment of what's happening in Australia.
This publisher's site can't be shown here due to their security settings.
Open full article →No source link available for this article.
Published 19 Jul 2026, 03:50 UTC · Updated 19 Jul 2026, 04:00 UTC
Summary by OZbrief Editorial. Original report: SMH. Editorial policy · Corrections
Trending
- Watchdog directs judge to counselling after 'inappropriate' comments
- Lendlease fund sells Melbourne office tower for half 2022 purchase price
- Vodafone settles legal claim brought by 62 former franchisees
- Monty Ioane scores twice in Italy wins over Australia after 2017 arrival
- Breaking: Terence Donovan dies aged 90
- JD Vance says Welsh castle was 'coolest thing I've ever seen'