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Research Frontiers in Intelligent Systems. Summer School

Dates

The summer school will be run from Wed. July 01 to Fri. July 3, 2026

Learning Activities and ECTS

SIFR offers three types of learning activities:

  1. Interactive overview lectures on research frontiers in selected topics. See Tutors and Topics below.

  2. Hands-on sessions that topically follow lectures

  3. Individual work on terminology mark-up in scientific papers on Abstraction and Reasoning Challenge. Students will be briefed on the task and methodology during the School. The task will be performed within two weeks after the school.

ECTS Credits:

  • Taking part in SIFR tutorials, including lectures and hands-on sessions – 1 ECTS

  • Individual work: terminology mark-up – 2 ECTS

Course overview section photo

For Whom

We welcome as the students of SIFR:

  • 3d-4th-year B.Sci students in Computer Science, Software Engineering, Artificial Intelligence, Business / Data / Decision Analytics, and related programs

  • M.Sci students in Computer Science, Artificial Intelligence, Data Science, and related programs

  • Ph.D students doing their research in the fields, related to Intelligent Systems or broader Artificial Intelligence

  • Researchers / professionals working in the fields, related to Intelligent Systems or broader Artificial Intelligence

The students will acquire new knowledge and practical skills on the actual research topics in Intelligent Systems and successfully perform their B.Sci or M.Sci projects.

Course overview section photo

New professional partnerships

At SIFR, we aim to discuss what are the current research frontiers in several selected hot topics in Intelligent Systems. This discussion will be organised via offering several interactive tutorials covering these selected topics. The tutorials will comprise overview lectures on the selected topics. These lectures will be complemented with practical hands-on sessions. The students will be also offered to take part in the mini-projects on the topics of their choice. The projects will be presented by the students at the final session of the summer school.

Course overview section photo

Програма сертифікатної програми

01

Tutorial І. Can LLMs Forget? An Introduction to Machine Unlearning

02

Tutorial ІІ. Medical Vision Foundation Models

03

Tutorial III. Illumination-Robust Event-Based Tracking: Flicker, Burst, and Recovery

04

Tutorial IV. The Genomic Bottleneck: Bio-Inspired Neural Architecture Search from Compact Genomes

05

Tutorial V. Understanding and Interpreting Sign Language

06

Tutorial VI. SCaAD: A Spine Cage Automated Designer

07

Tutorial VII. Introduction to Formal Verification with LEAN