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AI method named one of 2019¿s most exciting discoveries in optics research

News: Dec 12, 2019

Optics & Photonics News has picked Saga Helgadottir’s work on deep learning for particle tracking as a top break-through of the year.
“This has been a really good year for me, research-wise. My publication, presenting a new AI method, garnered a lot of attention,” says Saga Helgadottir, PhD student at the Department of Physics.

The research article in question, which is now gracing Optics & Photonics News’ best-of-2019 list, identifies a new way of implementing neural networks and machine learning in order to track particle motion and study surrounding microenvironments.

After the publication in mid-April, Saga Helgadottir was contacted by both national and international press to talk about her discoveries. She has also been invited to visit research groups abroad and was a speaker at the AI in Health and Health in AI conference held in Gothenburg in November.

Currently, Saga Helgadottir is collaborating with a group of scientists at the Wallenberg laboratory. They’re working on new ways of using deep learning in the medical field.

“I started my PhD research studying bio-hybrid micro swimmers, but ended up more within the area of artificial intelligence and optics. I like this work a lot, and the positive response to my publication earlier this year has allowed me to establish myself in the AI-field.”

Photo: Alessandro Magazzu.
Text: Carolina Svensson

List of highlighted research from 2019:


Saga Helgadottir’s featured summary:

 

Original press release about the research:
 

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Page Manager: Måns Henningson|Last update: 4/28/2014
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