Artificial Intelligence and Machine Learning are undergoing an unprecedented phase of acceleration, driven by breakthroughs in large language models, multimodal learning, generative AI, and agent-based systems. These technologies are rapidly transforming not only computer science, but also domains such as medicine, engineering, natural sciences, and the social sciences. As a consequence, there is a growing demand from both academia and industry for advanced, practice-oriented education that goes beyond fundamentals and focuses on cutting-edge methods, scalable infrastructures, and real-world deployment.
The AICET 2026 – AI Cutting-Edge Trends Summer Symposium and School aims to address this need by providing a high-level, international forum that combines scientific excellence with hands-on training. Through a carefully designed program that integrates plenary keynotes, NVIDIA-led full-day workshops, peer-reviewed lectures, tutorials, and short courses, the event will equip participants with both conceptual understanding and practical skills in emerging AI/ML technologies. By fostering interaction between students, PhD candidates, researchers, and industry professionals, AICET 2026 seeks to create a vibrant ecosystem for knowledge exchange, collaboration, and innovation at the forefront of AI research and applications.
The following events are preliminary and currently under development;
information may change.
(Person #1)
Multi-Agent Systems and Agentic AI (Part 1)
Soft Skills Workshop
(Person #2)
Multi-Agent Systems and Agentic AI (Part 2)
(Person #3)
Building AI Agents with Multimodal Models (Part 1)
Soft Skills Workshop
(Person #4)
Building AI Agents with Multimodal Models (Part 2)
(Person #5)
Generative AI with Diffusion Models (Part 1)
Soft Skills Workshop
(Person #6)
Generative AI with Diffusion Models (Part 2)
(Person #7)
(Person #8)
(Person #9)
(Person #10)
AICET 2026 offers a unique opportunity to gain first-hand exposure to the latest advances in Artificial Intelligence and Machine Learning while actively engaging with an international community of researchers, students, and industry professionals. Participants will benefit from:
AICET 2026 offers access to the latest developments in artificial intelligence through plenary and invited talks delivered by leading academic and industry experts.
Participants can take part in full-day practical NVIDIA workshops covering highly relevant topics such as anomaly detection, multimodal AI agents, and generative AI with diffusion models.
The program brings together academic excellence, industry-oriented skills development, and the possibility of earning internationally recognized certifications.
By joining the full program of IEEE CITDS on Days 4–5, participants can connect with researchers, professionals, and innovators from academia and industry in an international setting.
AICET participants will have the opportunity to join competitive innovation programs, including the Idea Hackathon / AI Demo Challenge with cash prizes, as well as Medical AI-focused challenge activities that allow them to test their skills in real application-driven scenarios.
By joining AICET 2026, participants will not only learn about cutting-edge AI trends, but also develop practical competencies and build connections that support their future research and professional careers.
Keynote speakers will be announced soon.
(Draft)
Additional notes:
For the successful completion of the symposium, the participants should:
By registering in AIDA AICET2026, you consent for the storage and processing, for the purposes of AICET2026 registration, attendance and delivery of AICET2026 certificates and any other event-related procedures, of any personal data you will provide to AIDA AICET2026 (including proof of student status).
You have the right to revoke your consent at any time by sending an e-mail to ------- <abc@unideb.hu>. The withdrawal of your consent does not affect the lawfulness of the processing of personal data that was based on this consent and took place beforehand.
Bence Hegedűs
email: hegedus.bence@inf.unideb.hu