13 Computer Vision News Their first conferences, where they were supposed to meet their lifetime friends, were virtual because of Covid, and AI is quickly bringing dramatic changes. Yeah, sure, I understand that it’s extremely difficult. Finally, fortunately, we’re back to conferences also on site. I would recommend everyone to take that advantage because nothing beats meeting people in 3D. If I would advise a young colleague, first of all, go to conferences if you have the chance. Don’t take part virtually. Go to them. Meet as many people as you can. Talk to them. Network. That only works in 3D; it doesn’t work if you move around on your monitor. Then concerning AI, it now affects every area of science, basically, even the humanities. For instance, at LMU, we now have AI as a minor for all different subjects. Take advantage of courses in AI so that at least you learn the basics of it because I can imagine, in your research, you will need it in one way or the other, and so then it’s good to know the basics. I mean, to start from there. Also, it’s usually a good idea at your university to get in contact with people from computer science, mathematics, and statistics, who have a bit more knowledge. Maybe team up with them if you have interesting research questions from an applied area. For me, it’s very exciting to work in an interdisciplinary way. I’m always happy if people approach me with problems from other areas of science. For instance, since I came to Munich, I work now in robotics, which I never imagined before, and it’s very rewarding and exciting. Then if you work in a different area and you’re not familiar with AI, reach out to your colleagues and fellow PhD students, and talk to them. Gitta Kutyniok Read 100 FASCINATING interviews with Women in Science!!!
RkJQdWJsaXNoZXIy NTc3NzU=