I'm not that ambitious to think that I'm going to push science forward. For me, it’s to discover things for myself or for the team, even if it's a small thing. I also enjoy seeing the applied results of the research that we do, because I believe that deep learning is the latest wave of automation and industrialization. The final goal is to give all the repetitive tasks to the machine, so we as humans can enjoy more creative tasks or just leisure time. You just brought us to my next question! [laughs] Please go ahead. What has been your greatest success so far that you are most proudof? If we're talking about automation, I was the person responsible for training and testing the model that right now does the vehicle classification according to required payment at the tolls all over France. It means that every day, literally hundreds of thousands of vehicles are being classified using the computer vision models that I have trained. So, I'm at least partial to the final product, and it means less of a repetitive job for the operators. Before, there was a need for the operator because physical sensors were not able to capture the differences between some classes, so humans had to check this. This is a job very similar to labeling. If you ever did the labeling of images and videos, you know how tough it actually is. You have to do it hour after hour after hour; it's quite tough. So right now, I'm super happy that a machine can do it instead of a human. What will humans do instead? Something else. [laughs] Hopefully, something more pleasant or maybe more useful. That means you are not in the group of those who are scared of artificial intelligence taking too much space in our lives. In our workload? No, I don't think so. First of all, as a person working with AI every day, I think I understand pretty well the limitations that it has. Definitely, it 19 DAILY ICCV Wednesday Nadiya Shvai UKRAINE CORNER
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