Join us for AI TRENDS

AI TRENDS is a half-day event for the research community  and everyone curious about where AI is heading next. The event is part of SustAInLivWork (Centre of Excellence of AI for Sustainable Living and Working) and is designed as a practical, research-minded update: short expert talks + a discussion panel in each session.

 

Date: 26 February 2026

Time: 10:00–14:15 (registration starts from 09:30)

Location: Vytautas Magnus University Faculty of Informatics, Building III, Room 162

Address: Universiteto g. 10, Akademija, Lithuania

Format: 2 thematic sessions, each with 3 short talks (20 min) + panel discussion (45 min)

Language: The event will be held in Lithuanian.

What to expect

– Fresh, research-relevant AI insights from SustAInLivWork experts and invited guests.

– A focused look at AI and data regulation and risk, and a deep dive into how large language models work.

– Space to ask questions, compare notes, and network across institutions and disciplines

Programme overview (continuously updated)

Please note: the programme and speaker list are still being expanded. Additional speakers and panel participants will be announced as they confirm.

09:30–10:00 Registration & coffee

SESSION I (10:00–12:00)

Regulating Data and AI: From Legal Challenges to Risk Management

– Paulius Astromskis – Scenario-Based AI Risk Management: From Legal Requirements to Standards-Driven Applications

– Saulė Milčiuvienė – Understanding the Digital Omnibus: New Perspectives on Data Regulation

11:10–11:55 Panel discussion (moderator and full lineup TBA)

12:00–12:30 Coffee break

SESSION II (12:30–14:15)

Large Language Models: How Do They Work?

– Jurgita Kapočiūtė-Dzikienė – Internal mechanisms that drive the functioning of large language models

– Linas Petkevičius – Vision Language Models: How Do They Work? What’s Next?

More speakers and topics TBA

13:30–14:15 Panel discussion (moderator and full lineup TBA)

14:15 Coffee & networking

Co-funded by the European Union logo
The project is co-funded under the European Union’s Horizon Europe programme under Grant Agreement No. 101059903 and under the European Union Funds’ Investments 2021–2027 (project No. 10-042-P-0001).