In Russia, a School of Advanced Technologies and Big Data Analysis Opens
The national program brings together students, researchers, and professionals to study both the theory and hands‑on practice of artificial intelligence in scientific and engineering applications.
Russia has launched a national educational initiative focused on cutting‑edge artificial intelligence and big data analysis. The All‑Russia School of the National Center for Physics and Mathematics opened its doors in Sarov, becoming a new hub where students, young researchers, and industry specialists can immerse themselves in the mechanics of AI systems.
Academician Igor Kalyaev of the Russian Academy of Sciences emphasized that the school’s mission is “not just to introduce the tools and models, but to teach participants to understand how they really work.” Lecturers unpack the mathematical methods underlying modern algorithms, explaining how these foundations translate into practical solutions for scientific and engineering challenges. The discussion also covers the risks and limitations that emerge when deploying AI systems at scale.
Fighting the ‘data hell’ problem
A significant portion of the curriculum is dedicated to the latest developments in AI, case studies from industry and science, and the regulatory and security issues that accompany rapid technological adoption. One of the recurring themes is the struggle with so‑called “data hell,” a term used to describe the difficulties that arise when massive data volumes overwhelm traditional analytical approaches.
Alongside technical modules, participants will attend a workshop on science journalism led by Andrey Reznichenko, head of the ‘Science’ editorial office at TASS. Organizers expect the school to grow into a collaborative space where young specialists can exchange expertise and form a community capable of advancing Russia’s next generation of AI technologies.
