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Researchers from Mosquito Alert (who belong to CEAB-CSIC, CREAF and UPF) together with researchers from the University of Budapest have shown that an artificial intelligence algorithm is capable of recognizing the tiger mosquito (Aedes albopictus) in the photos sent by Mosquito Alert users.
The results of the study published in
Scientific Reports have been obtained by applying deep learning technology or deep learning, an aspect of artificial intelligence that seeks to emulate the way of learning of humans and that has previously been used in the health field to interpret medical images (X-rays of patients with COVID19 to detect pneumonia, or facial features to detect heart disease, among others). Deep learning needs a lot of training data for the machine to learn. ....

Noord Brabant , Roger Eritja , Balint Armin Pataki , John Rb Palmer , Joan Garriga , Marion Koopmans , Frederic Bartumeus , Erasmus Universitair Medisch , John Palmer , European Commission Horizon , University Of Budapest , Mosquito Alert , Scientific Reports , Versatil Emerging , Erasmus Universitair Medisch Centrum , European Commission , Armin Pataki , நூற்த் துணிச்சலான , ஜோன் கார்றிகா , ஜான் பாமர் , ஐரோப்பிய தரகு அடிவானம் , பல்கலைக்கழகம் ஆஃப் புடாபெஸ்ட் , கொசு எச்சரிக்கை , அறிவியல் அறிக்கைகள் , ஐரோப்பிய தரகு ,