Academy Higher Engineering School (AVISH)

History

2023: Opening of the "Machine Learning in Transport" laboratory

Academy "Higher Engineering School" and the company "Polymatica" (Softline Group of Companies) opened a joint educational and scientific laboratory "Machine Learning in Transport." It will provide students with opportunities to conduct projects in the field of data analysis and artificial intelligence both within the framework of the educational program and to solve the problems of customers - representatives of the transport industry. The company "Polymatica" announced this on April 7, 2023.

Scientific research will be carried out on the basis of the laboratory: thanks to the Polymatica functionality for rapid prototyping, it will be possible to reduce the time for testing various hypotheses about the use of machine learning for a specific task, make sure that the collected data is sufficient and adjust the direction of research.

Our task is to provide students with the opportunity to work with software in such an important direction as artificial intelligence. This allows you to acquire useful practical skills and find a job with a good salary at the start. The joint laboratory with Polymatica solves several important tasks for us, combining the scientific and practical aspects of our activities. And it is especially pleasant that our partner in creating the first laboratory was the Russian developer company, - said Oleg Pokusaev, director of AVISH.

Cooperation with universities is included in the list of the main strategic tasks of Polymatica. We plan that the laboratory will become a competence center for both our products and project management in the field of BI, [ML and AI. For our part, we are ready to transfer expertise, developments, participate in scientific research to obtain new knowledge and educate high-class professionals in the field of data analysis, - commented Natalya Yashenkova, Marketing Director of Polymatica.

A similar initiative was first tested at the Russian University of Transport. Such laboratories will allow to popularize and promote domestic software, in particular, in the field of data analytics, as well as successfully implement research projects in the field of machine learning in transport.