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Following the success of last year’s edition, AI Symposium 2026—jointly organized by HUN-REN Hungarian Research Network and Nanyang Technological University—returns to Budapest from May 20–22, 2026. The Symposium will explore the latest AI advancements and their real-world applications. From trustworthy and sustainable machine learning to AI revolutionizing healthcare, quantum computing, and breakthroughs in industry, vision, and robotics—the programme showcases the full spectrum of next-generation AI innovation. Positioned at the intersection of Europe and Asia, the Symposium acts as a catalyst for cross-border collaboration—bringing together world-renowned researchers, industry pioneers, and innovators to accelerate the deployment of AI from lab to market, unlock new partnerships, and shape the future of global technology value chains.
Join us in shaping the future of AI—don’t miss this opportunity to connect with global leaders and innovators!
Featured topics
- Transformative breakthroughs, cross-sector applications, and the evolving role of AI
- Trustworthy and sustainable machine learning
- What are the theoretical guarantees for model reliability and what methods ensure robustness against adversarial attacks?
- Interpretability techniques that make AI decisions more transparent
- Can efficient training strategies, low-precision computing, and optimized neural network architectures lower the energy consumption of AI models?
- Improved diagnostics, treatment planning, and patient care – how AI is revolutionizing medicine?
- Surgical robots in complex procedures
- Advancements in medical imaging, personalized medicine and AI-driven drug discover
- Data-driven medical knowledge discovery
- AI-driven automation in manufacturing, logistics and robotics
- The impact of computer vision, autonomous systems and intelligent automation on the automotive sector, healthcare and smart cities
- Advancements in 3D computer vision, object recognition and mapping
- Addressing challenges related to scalability, reliability, and ethical considerations
- Questions of quantum computing in areas such as cryptography, drug discovery, materials science, and artificial intelligence
- Behaviour of interacting quantum systems
- Possibilities of quantum simulation, sensing, and the development of new quantum devices
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