📢 The Department of MMDA invites students, graduate students and young scientists (under the age of 35) to participate in the 22nd All-Ukrainian Scientific and Practical Conference of Students, Postgraduate Students and Young Scientists “Theoretical and Applied Problems of Physics, Mathematics and Informatics” in the “Mathematical Modeling and Data Analysis” section “.… Continue reading
The international workshop “Data, Intelligence and Algorithms” was held
We are glad to share details about the online workshop of the MMAD department on the topic “Data, Intelligence and Algorithms”, which took place on March 21. Topic – “Methods of geospatial statistics for estimating economic indicators using satellite intelligence models.”… Continue reading
On March 21, 2024 at 4:00 p.m., we invite you to participate in the international workshop, which will be held as part of the scientific seminar of the MMAD department “Data, Intelligence and Algorithms” in a remote format.
The topic of the workshop “Methods of geospatial statistics for estimating economic indicators using satellite intelligence models” will be interesting and useful for everyone who is interested in statistical analysis, analysis of land cover dynamics and the application of statistical methods in geoinformatics.… Continue reading
4 works of our department were accepted to IEEE IGARSS 2024
We are happy to announce that 4 works of our department were accepted to participate in the most prestigious satellite intelligence conference 2024 IEEE International Geoscience and Remote Sensing Symposium, which will be held in Athens, Greece, from July 7 to 12, 2024!… Continue reading
Let’s glorify Kolodiya – let’s welcome spring!
Yesterday, the team of the Department of Mathematical Modeling and Data Analysis visited the Museum of Folk Architecture and Life of the Middle Dnipro region in Pereyaslav, where the solemn folk celebration Kolodiya took place 🌿
We learned about extremely interesting Ukrainian holidays, customs and ceremonies, immersed ourselves in history for a few hours and, of course, had a wonderful team building!… Continue reading
MMDA Department meeting 14.03.2024
💫 On March 14, 2024, a meeting of the Department of Mathematical Modeling and Data Analysis was held.
After the meeting, the department held a seminar, where our bachelors presented their reports, presenting the results of their scientific research in the MES project “Information technologies of geospatial analysis of the development of rural areas and communities”.… Continue reading
Hanna Yalymova won in the nomination “Young Teacher and Researcher – 2023”
Congratulations to the senior teacher of the department of MMDA Yalymova Anna Oleksiivna with the victory in the KPI competition named after Igor Sikorskyi in the nomination “Young Teacher and Researcher – 2023”!
… Continue reading
The first round II All-Ukrainian competition of student scientific works on artificial intelligence 2024
The first (university-wide) round
II All-Ukrainian competition of student scientific works on artificial intelligence 2024
Directions:
🔹 Data analysis
🔹 Computer vision
🔹 Natural language processing
🔹 Computational intelligence
🔹 Speech recognition
Speaker of the submission (https://aic.kpi.ua/first-round/) of works of the first round by students of KPI named after Igor Sikorsky –
“05” April 2024.… Continue reading
Data, Intelligence and Algorithms
07.03, the scientific seminar “Data, Intelligence and Algorithms” was held at the MMAD department in a remote format! 🌐 The speaker was Oleksiy Kuchaev, Director of Applied Research at NVIDIA. Many important and interesting points were discussed during the event: Large Language Models (LLMs), AI Alignment with human preferences, Reinforcement learning from human feedback (RLHF), and much more.… Continue reading
Int20h hackathon results
The team of students of the MMDA department successfully performed at the Int20h hackathon and took 4th place! In the Data Science section, they managed to develop the perfect solution in 20 hours: splitting images into unlabeled clusters for learning, and generating averaged faces for the resulting clusters that reflect gender, ethnic groups, emotions, and even stylistic features such as glasses or makeup.… Continue reading