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The Machine Learning and Data Analytics Symposium (MLDAS) is dedicated to fostering connections among researchers, practitioners, students, and industry experts in the field of machine learning and data science. MLDAS aims to bridge the gap between academic insights and industry's practical needs, featuring invited talks by prominent international and local researchers.
The MLDAS 2026 edition will focus on “Safe and Sustainable AI”. As AI systems grow in scale and influence, ensuring their safe operation while minimizing environmental and energy impact has become a global priority. The symposium will bring together leading researchers, industry leaders, and policymakers to discuss next-generation models, architectures, frameworks, and policies that enable AI systems to remain both safe and environmentally responsible while supporting large-scale societal applications.
Topics include, but are not limited to:
- Safe and robust AI systems
- Efficient and sustainable AI systems
- Green data centers and energy-aware AI infrastructures
- Sustainable approaches for alignment and fine-tuning large-scale AI models
- Lifecycle carbon footprint measurement of AI systems
- Edge AI and distributed efficient computation
- Policies and governance frameworks for Safe & Green AI
- Quantum computing and sustainable AI
Serving as a vital platform for advancing the dialogue on integrating safety and sustainability in AI, the MLDAS 2026 symposium will pave the way for responsible technological development that benefits both Qatar and the world.