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ITMO’s Monday Science Roundup #95
All throughout the year, we bring you bi-monthly reports on the latest goings-on, happenings, and occurrences in the world of science at ITMO. In today's final science roundup of the year, we have plenty of intelligent gifts in our stocking of knowledge: pocket galaxies, super-sensors, no-fuss university admissions, and much more!
29.12.2025
Automated Chemical Research Made Possible Thanks To ITMO-Developed Datasets
ITMO researchers have released ChemX, a new dataset collection that analyzes the performance of existing information extraction methods for the scientific literature. With this toolkit, scientists can now systematically analyze the capabilities of large language models and multiagent systems in processing complex academic data, expose their shortcomings, and define areas of growth for aspiring researchers in the field. The collection was hand-assembled by experts from ITMO’s Center for Artificial Intelligence in Chemistry and contains ten datasets from the key branches of chemistry – nanomaterials and small molecules. The findings were revealed at the conference NeurIPS 2025.
24.12.2025
From 2K Applications to 29 Projects: ITMO and Alfa-Bank Hold AI Course for Educators
ITMO and Alfa-Bank have recently had the second launch of their online professional development course for university lecturers who would like to master AI technologies, learn to apply them in the classroom, and develop their own AI-assisted projects. 161 people from over 30 cities in Russia completed the course.
16.12.2025
ITMO Researcher Wins Sberbank’s Scientific Award in AI in Education
Mikhail Medvedev, a researcher at ITMO’s Laboratory for Intelligent Technologies in Infochemistry, became a laureate of the 2025 Sberbank Scientific Award in the newly-introduced category “AI in Science. Physical World” for developing digital chemistry methods for predicting substance properties using AI and molecular modeling.
10.12.2025
AI Prompt Generator Developed at ITMO
A team of ITMO’s Computer Technologies Lab (CT-Lab) developed CoolPrompt, a library that automatically optimizes prompts for large language models (LLMs). It makes the process simpler and faster and allows nontechnical specialists to achieve expected outcomes from their prompts. The framework was first unveiled at AI Journey this year.
09.12.2025
ITMO’s Monday Science Roundup #93
In just a few weeks, most of us will be taking a well-deserved break from work and studies; but for now, it’s still full steam ahead! In today’s digest of all things science at ITMO, we’ve got AI assistants for every kind of science, academic opportunities, and crowning achievements. Read on!
01.12.2025
ITMO Students Become Two-Time Winners of International AIDAO Contest by Yandex Education and HSE University
Yandex Education and HSE University’s Faculty of Computer Science have announced the results of the international Artificial Intelligence and Data Analysis Olympiad (AIDAO). The contest brought together 248 teams from 14 countries, including Russia, Kazakhstan, South Korea, Germany, and Iran. For the second year in a row, the ITMO team AI Capybara took the first place at the competition – their AI vision system for autonomous vehicles proved to be the most accurate.
01.12.2025
AI Brainstorming and Techno Rave: Notes from Techno Quest by ITMO and Yandex
Is it possible to create a project for Yandex in just two hours? Guess what! It is, and AI is here to help. At the techno quest Future Gets Coded Here, ITMO students worked on their projects with Alice AI, and in the final, Yandex experts chose which were ready to go into production and which – needed some improvements. The event was also attended by Ilya Nowkie, a famous million-follower blogger, who enjoyed the techno rave and coded his future alongside ITMO students. Here are the highlights.
21.11.2025
Scientists at ITMO University and Sberbank Develop Multi-Agent AI System for Rapid Development of Medical Products
Researchers from ITMO University, with support from scientists at Sberbank’s Practical AI Center, have devised a multi-agent system for identification of new drug molecules. Not only does the model generate new molecules virtually, but it also entirely automates the process of searching for and selecting them. The program operates with high accuracy – nearly 80% of the molecules proposed by the system meet the criteria set by scientists. The developers have already tested the system and used it to generate molecules that may contribute to the development of treatments for Parkinson’s and Alzheimer’s diseases, lung cancer, and other health disorders. The researchers presented their results at the EMNLP 2025 conference in China.
20.11.2025
ITMO’s Monday Science Roundup #90
Twice a month, we bring you the latest in research, education, and tech. In today’s science news digest: advanced nanomaterials, the everyday impact of Nobel Prizes, and the pros and cons of AI in education.
20.10.2025