From February 5 to 8, NSU hosted “NSU Online Artificial Intelligence Course”, an inter-university seminar on artificial intelligence. 18 students from Xinjiang University in Urumqi participated.
NSU was represented at the seminar’s opening and closing ceremonies by the Head of the Education Export Department Evgeniy Sagaidak, Specialist at the International Recruiting Department Adelina Kazulina, and Associate Professor at the Department of Intelligent Systems of Thermophysics at the Institute of Intelligent Robotics Alexander Nazarov. The Chinese representatives were Zhu Xinwu, Head of the International Department at Xinjiang University, and Qian Yurong, Director of the Software Institute. The seminar was hosted by Rodion Shkokov and Roman Derunets, specialists in the field of artificial intelligence and deep machine learning who studied at NSU.
In his welcoming speech, Alexander Nazaro, Scientific Director of NSU’s “Mechatronics and Robotics” and Doctor of Technical Sciences, talked about the history of the development of artificial intelligence in the world. He emphasized the relevance of this aspect of computer science for medical diagnostics, e-commerce, robot control, Earth remote sensing, and many other areas.
For three days, Xinjiang University students were immersed in the topic of artificial intelligence. Two lectures a day presented deep machine learning and neural networks in a very detailed, accessible, and interesting way.
Song Jianhui, a student at the Xinjiang University Russian language special group, provided feedback about the Course,
I would like to thank the teachers of Novosibirsk State University for the excellent lectures. The content was clear and the teachers presented it in lively language, logically, and in great detail. They explained the basic principles of deep machine learning, methods for training models, and talked about the areas for applying neural networks. I was especially drawn to the experts' interpretation of mathematical formulas, which allowed me to better understand the essence of deep learning. I was inspired by the teachers' views on the future of artificial intelligence, which made me more determined to study this field. I would also like to thank the University for giving us the opportunity to interact with experts and scientists face to face. This interactive learning approach allowed me to better understand the practical applications of deep learning and create a clearer plan for future research.
